Hugging Face's logo

Datasets:
cardiffnlp
/
relentless

Modalities:
Text
Time-series
Languages:
English
Size:
< 1K
ArXiv:
Libraries:
Datasets
License:
Dataset card Data Studio Files Community
1
asahi417 commited on
Commit
11e4787
·
1 Parent(s): 4b2246c

upload file

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. experiments/results/lm_lc/flan-t5-xl/ppl.competitor__rival_of.jsonl +89 -0
  2. experiments/results/lm_lc/flan-t5-xl/ppl.friend__ally_of.jsonl +92 -0
  3. experiments/results/lm_lc/flan-t5-xl/ppl.influenced_by.jsonl +93 -0
  4. experiments/results/lm_lc/flan-t5-xl/ppl.known_for.jsonl +108 -0
  5. experiments/results/lm_lc/flan-t5-xl/ppl.similar_to.jsonl +93 -0
  6. experiments/results/lm_lc/lm.csv +6 -0
  7. experiments/results/lm_lc/opt-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  8. experiments/results/lm_lc/opt-1.3b/ppl.friend__ally_of.jsonl +92 -0
  9. experiments/results/lm_lc/opt-1.3b/ppl.influenced_by.jsonl +93 -0
  10. experiments/results/lm_lc/opt-1.3b/ppl.known_for.jsonl +108 -0
  11. experiments/results/lm_lc/opt-1.3b/ppl.similar_to.jsonl +93 -0
  12. experiments/results/lm_lc/opt-2.7b/ppl.competitor__rival_of.jsonl +89 -0
  13. experiments/results/lm_lc/opt-2.7b/ppl.friend__ally_of.jsonl +92 -0
  14. experiments/results/lm_lc/opt-2.7b/ppl.influenced_by.jsonl +93 -0
  15. experiments/results/lm_lc/opt-2.7b/ppl.known_for.jsonl +108 -0
  16. experiments/results/lm_lc/opt-2.7b/ppl.similar_to.jsonl +93 -0
  17. experiments/results/lm_lc/opt-iml-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  18. experiments/results/lm_lc/opt-iml-1.3b/ppl.friend__ally_of.jsonl +92 -0
  19. experiments/results/lm_lc/opt-iml-1.3b/ppl.influenced_by.jsonl +93 -0
  20. experiments/results/lm_lc/opt-iml-1.3b/ppl.known_for.jsonl +108 -0
  21. experiments/results/lm_lc/opt-iml-1.3b/ppl.similar_to.jsonl +93 -0
  22. experiments/results/lm_lc/opt-iml-max-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  23. experiments/results/lm_lc/opt-iml-max-1.3b/ppl.friend__ally_of.jsonl +92 -0
  24. experiments/results/lm_lc/opt-iml-max-1.3b/ppl.influenced_by.jsonl +93 -0
  25. experiments/results/lm_lc/opt-iml-max-1.3b/ppl.known_for.jsonl +108 -0
  26. experiments/results/lm_lc/opt-iml-max-1.3b/ppl.similar_to.jsonl +93 -0
  27. experiments/results/lm_lc/t5-3b/ppl.competitor__rival_of.jsonl +89 -0
  28. experiments/results/lm_lc/t5-3b/ppl.friend__ally_of.jsonl +92 -0
  29. experiments/results/lm_lc/t5-3b/ppl.influenced_by.jsonl +93 -0
  30. experiments/results/lm_lc/t5-3b/ppl.known_for.jsonl +108 -0
  31. experiments/results/lm_lc/t5-3b/ppl.similar_to.jsonl +93 -0
  32. experiments/results/lm_qa/flan-t5-xl/ppl.similar_to.jsonl +93 -0
  33. experiments/results/lm_qa/lm.csv +6 -0
  34. experiments/results/lm_qa/opt-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  35. experiments/results/lm_qa/opt-1.3b/ppl.friend__ally_of.jsonl +92 -0
  36. experiments/results/lm_qa/opt-1.3b/ppl.influenced_by.jsonl +93 -0
  37. experiments/results/lm_qa/opt-1.3b/ppl.known_for.jsonl +108 -0
  38. experiments/results/lm_qa/opt-1.3b/ppl.similar_to.jsonl +93 -0
  39. experiments/results/lm_qa/opt-2.7b/ppl.competitor__rival_of.jsonl +89 -0
  40. experiments/results/lm_qa/opt-2.7b/ppl.friend__ally_of.jsonl +92 -0
  41. experiments/results/lm_qa/opt-2.7b/ppl.influenced_by.jsonl +93 -0
  42. experiments/results/lm_qa/opt-2.7b/ppl.known_for.jsonl +108 -0
  43. experiments/results/lm_qa/opt-2.7b/ppl.similar_to.jsonl +93 -0
  44. experiments/results/lm_qa/opt-iml-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  45. experiments/results/lm_qa/opt-iml-1.3b/ppl.friend__ally_of.jsonl +92 -0
  46. experiments/results/lm_qa/opt-iml-1.3b/ppl.influenced_by.jsonl +93 -0
  47. experiments/results/lm_qa/opt-iml-1.3b/ppl.known_for.jsonl +108 -0
  48. experiments/results/lm_qa/opt-iml-1.3b/ppl.similar_to.jsonl +93 -0
  49. experiments/results/lm_qa/opt-iml-max-1.3b/ppl.competitor__rival_of.jsonl +89 -0
  50. experiments/results/lm_qa/opt-iml-max-1.3b/ppl.friend__ally_of.jsonl +92 -0
experiments/results/lm_lc/flan-t5-xl/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 9.505684081749813, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 135.52690083418423, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 9.617493310852376, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 6.7338997997745675, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 16.086042263019046, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 7.307319097619147, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 18.16039486090712, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 5.400065819807809, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 7.457243120462374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 20.270236026136654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 14.27982312198788, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 22.957262352918043, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 4.296045753149085, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 25.69035640979679, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 8.992176001027877, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 5.017542697819828, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 3.030671098200141, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 9.482695060883648, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 14.726058146423387, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 19.762969274670237, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 59.851271617961096, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 33.805578379899224, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 12.043842385994983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 23.18820206464901, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 19.19675929303049, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 10.28820346143924, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 8.062890920465932, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 9.71794967133722, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 9.803333423982181, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 9.717504829086463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 29.340406171434733, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 17.21854228726924, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 6.667975806827729, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 25.745989213458696, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 10.955501426446073, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 23.976654583507422, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 43.51760045402071, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 8.222158309682694, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 21.565323801478193, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 6.031525304078299, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 9.534255518129003, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 8.106346829645705, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 9.014285325776534, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 5.194583179597752, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 9.78804774562697, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 15.256474308026652, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 10.268616110461327, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 3.4835715698877845, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 6.7765112216389545, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 12.2661662273044, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 6.222924155583941, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 25.720625891007845, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 21.374653228718724, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 13.80330052451259, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 6.6909397327064015, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 16.87657058047928, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 4.599939068558197, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 19.236412950435085, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 11.385179759641849, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 8.779017271811265, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 12.694616272710759, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 11.948429895156487, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 55.7534798354482, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 14.799341710038142, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 15.94973287515485, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 7.03103103237326, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 14.296348270376258, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 10.482359274579439, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 17.28310678413196, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 9.655342294329703, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 8.313261182194639, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 92.92991153452455, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 25.75397640927688, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 20.569844051585417, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 5.035117982219583, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 11.379467300428635, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 24.629335827529797, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 32.27578672910571, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 5.0627007280637635, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 17.869362157261765, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 6.77810847609514, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 47.825088847027736, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 26.745282912086463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 13.876834818282482, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 19.50722020876793, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 14.128375940933685, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 27.826625092081695, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 7.856322612387144, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 36.64639356758048, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/flan-t5-xl/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 45.48161541472589, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 80.95347810033279, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 21.801734410580078, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 7.084820417398875, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 10.006516037350801, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 46.95465587127083, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 10.984328696531394, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 13.260083497820517, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 36.63293204458429, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 9.426036262658526, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 34.35517632139624, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 33.54583626142014, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 3.2630232482026864, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 30.260506449638985, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 26.9520412920583, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 45.73057078721644, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 95.18177810324958, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 17.57953110719136, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 11.14611592013202, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 19.661642242495557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 34.077681018664244, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 26.474592845568672, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 42.15230536307318, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 16.66243995011074, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 22.12662712697123, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 10.534921106754743, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 15.31463458183666, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 21.442130145938837, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 27.584711714462212, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 43.45188044011005, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 16.18512201790994, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 16.950894354214995, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 11.801590383037926, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 11.154144282275261, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 11.391351350202006, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 12.427245276985026, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 23.107025806458047, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 13.553807695881234, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 7.286345284484144, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 20.740123550844505, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 8.79161199261261, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 34.3739714136182, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 16.184392714754583, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 20.380213713251006, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 14.750173629414444, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 39.615234833112375, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 27.132897395993986, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 15.407673513794439, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 25.086661543208834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 38.398306357507714, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 7.150161562075944, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 27.150207455130715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 6.7157293768957995, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 21.42754488366246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 48.119167554142834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 32.301683588096125, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 26.601667752519813, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 20.48764703104953, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 13.426869053334306, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 7.297629310179188, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 20.234167132272887, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 17.734060086427988, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 26.282811657728832, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 19.218630845912603, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 25.386980879144385, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 34.87936452634904, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 7.8388193517501445, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 42.78669778516424, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 29.554364224052037, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 37.34787345219337, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 7.710198153530864, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 14.052563871211678, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 21.984439161892887, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 16.300548058506884, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 21.90527292675646, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 85.8753301435261, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 18.13765181362736, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 39.82622951348759, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 12.510376240425098, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 14.646455774174692, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 27.47655987268008, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 18.833536612123446, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 128.96842954646485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 87.26794151654764, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 35.28234247364982, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 29.686445617120246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 26.20912307705108, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 13.459352598143063, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 47.12838489103346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 30.20021590145389, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 20.063611565495034, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 11.041192200736676, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/flan-t5-xl/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 30.564381541059955, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 66.75042312014973, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 12.688165132212823, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 41.3741779513998, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 8.023286358176067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 32.867829239428744, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 6.28385326675576, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 26.038571117958217, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 50.27340336962454, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 39.68349597891375, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 12.995155391637185, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 21.817078924573607, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 8.627540240835678, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 50.14666640513184, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 32.1256277298077, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 23.34001740464878, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 4.8628740620000075, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 14.169193243358906, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 41.48439115588495, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 7.624122501032932, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 16.48018635802623, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 27.903151602112054, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 13.237687749514164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 27.532706157283545, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 18.810475270734607, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 30.956510488880582, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 25.578920608314952, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 19.347653463847323, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 8.33525514718028, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 15.64492942124432, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 24.55403590296524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 18.704066839073924, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 16.587537920003808, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 32.88117716990503, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 47.35409878431167, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 22.67184374041327, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 91.45148218505432, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 18.78659560360965, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 17.671956386731026, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 42.27415519181932, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 11.751830862707632, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 34.49772280714747, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 26.54057889740552, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 11.320481070427576, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 13.986945998328382, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 36.011899664873766, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 10.502717419883702, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 7.2313931056863465, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 18.41676980513322, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 15.909437081979924, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 51.20888673041336, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 9.430417350370636, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 26.566573430711266, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 12.95942558857289, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 17.459909876525927, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 22.58488148683024, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 81.07767750582421, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 17.940271782780652, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 20.40862962706147, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 13.134248493755836, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 14.160854924664429, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 25.892187894986662, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 24.64903869829838, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 19.773715233768513, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 11.196839294990381, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 5.776509900664952, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 36.53943212842564, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 14.982962311501987, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 7.491382906170492, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 21.980545073242983, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 33.773539437154234, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 11.427312320602688, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 49.62892938274402, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 27.13143544435446, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 17.939373573504067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 57.57287126150322, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 4.54677741322973, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 4.172907134484461, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 28.260100390588086, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 9.048830534521947, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 17.621472972788613, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 20.30506691640115, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 48.26252309864785, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 14.803703502080086, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 8.656780080830446, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 17.790001724016395, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 14.25942047417204, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 32.67064270952289, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 21.67250831613215, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 18.353671138723854, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 9.510716669836293, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 12.244298919582977, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 19.657072265394163, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/flan-t5-xl/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.566835671703949, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 5.147658426811646, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 33.64847068961286, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 101.82131771990491, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 36.88751700887375, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 24.669351368534716, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 15.779890433154247, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 5.45354803653915, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 11.063165832228185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 32.47280424189113, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 31.605118101757057, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 34.71635604898142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 12.137041695431865, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 25.416505082227925, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 22.095439866229224, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 17.64592881138492, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 22.768638673748544, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 30.259777777050328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 7.9087749679973225, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 29.648674213676745, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 8.541662278645683, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 8.046227992009634, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 19.66546777846957, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 25.72309118372962, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 9.188813516738426, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 8.703872599972787, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 8.155275341384709, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 62.85452237005511, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 21.653697801590727, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 45.774411015980114, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 60.22455492279693, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 39.668332440528346, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 20.03112896563629, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 13.434916117175428, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 14.695358706391012, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 71.20622022460296, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 8.836705004597855, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 6.099304384489964, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 12.831104387090397, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 9.956149050356272, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 18.18539485776038, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 14.01692411359427, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 8.669668633977606, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 18.116064526235288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 140.3813489289326, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 11.369598696964077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 16.456204376861294, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 19.732869304907016, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 12.615598744705334, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 31.785944362726912, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 20.40733050075226, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 47.729746007986975, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 18.972458894130924, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 24.36339052708453, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 19.936311025513554, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 13.816022665928664, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 7.083649931195534, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 18.094200949781584, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 22.59500152089927, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 42.03190906705486, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 14.345162959245107, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 26.507644337689282, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 12.781391474777182, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 14.054262622782272, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 21.23772285171638, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 19.03908295470126, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 14.914194689150744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 19.348345402227242, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 14.10681400936393, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 9.451208583941769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 19.84556594652407, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 16.363542897260636, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 23.477176760764422, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 11.588653955236188, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 17.420545403904306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 5.197160487090873, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 14.274118193946336, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 36.13792896122407, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 65.03392877323999, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 5.912860765192373, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 16.751293595113182, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 18.88462867054005, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 19.515407481760967, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 11.91011624421842, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 16.7097296451898, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 17.845898577417284, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 11.760217003081731, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 11.162024074479834, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 17.603328561466995, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 35.15533223394024, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 7.246086124732063, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 3.0565889034024036, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 12.366276908364052, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 19.587594476363897, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 7.53650077475434, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 24.68272394053142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 28.65341891586117, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 13.261073068676785, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 29.986443369466702, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 16.962003782709765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 31.313068366025103, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 52.99429817557459, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 18.034271194001125, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 15.388080642396028, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 19.289821250181443, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 8.37832107068303, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 25.477035341048285, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 14.999703920364212, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/flan-t5-xl/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 20.339181764509128, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 10.158836092795363, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 7.127824483385374, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 11.544252967971062, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 15.074582881951162, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 9.218089493501289, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 6.443087837647621, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 18.196718988794476, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 23.870825261958252, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 17.521339407325303, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 5.543047508067489, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 6.18176982233424, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 16.69295385905562, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 13.864334339976567, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 15.310921666588737, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 14.055080241111423, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 12.822440674303259, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 37.89643101997205, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 14.115608485159298, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 12.719916858465368, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 10.175256351350315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 11.107824339847422, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 36.38341763973142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 6.841097158252595, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 12.864906815342765, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 20.348222754477327, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 5.643480898500023, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 15.499355979590577, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 13.828683998485651, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 7.552489838417689, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 3.8825268873591847, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 5.198392917765032, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 9.316332893721555, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 13.562461127913952, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 17.378298674293816, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 33.79486044160967, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 11.6564553977025, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 9.875605967771767, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 29.15731130581523, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 12.690107391396749, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 5.987470506415243, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 7.494267988641399, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 12.737910240888041, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 7.889836097951465, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 16.48421426235407, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 7.766326685327364, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 23.126696310107487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 8.687579148270094, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 20.67682267255078, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 18.402741833686235, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 39.38474141487117, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 2.2430696214172587, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 12.186781805678466, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 4.462909255316784, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 7.040052948145039, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 7.56058451116428, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 11.836224517215223, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 7.006406244047145, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 9.586859714684671, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 9.731645476356128, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 23.680080932147636, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 7.538053405985423, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 11.915541101923624, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 5.551723760991528, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 6.342599674876935, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 8.699202656942543, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 9.064463666676247, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 3.2523995697181247, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 18.273349160951373, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 7.901449040224598, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 8.291242226528954, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 10.657207760763882, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 8.178225853780111, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 4.815959488229473, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 11.797724967107044, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 7.3121003886188545, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 12.545463200445074, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 3.361903620061977, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 7.026974649978258, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 20.372571905334045, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 7.588402563289787, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 9.395680953239326, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 5.978665593639797, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 16.533883416082304, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 5.097944131715226, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 8.987312803331406, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 24.637957566197723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 14.20153920201377, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 11.640516960299902, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 9.860179389460798, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 6.927118995401603, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 30.078861835378433, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 17.952089559752192, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/lm.csv CHANGED
@@ -1,10 +1,16 @@
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
 
2
  Flan-T5 extsubscript{LARGE},0.500097970006437,0.2791015777434352,0.41810593292697185,0.3014720569753186,0.2944442528504654,0.3586443581005256
3
  Flan-T5 extsubscript{BASE},0.4566419932654189,0.3899872752372662,0.3459207357378026,0.23634179781685494,0.10649793272688465,0.3070779469568455
4
  Flan-T5 extsubscript{SMALL},0.47676097522939054,0.40833571261581375,0.30934590563428976,0.22436672671700258,0.16942071664102182,0.3176460073675037
 
5
  T5 extsubscript{LARGE},0.36104055160378007,0.16276615505429307,0.3156410828516156,0.174686170687364,0.29006506622651235,0.260839805284713
6
  T5 extsubscript{BASE},0.4484817273521575,0.4231564950166599,0.4386362852295569,0.25739482237701783,0.22215778149637408,0.35796542229435324
7
  T5 extsubscript{SMALL},0.31788332936795455,0.4067532853282234,0.3070207273509307,0.17679576870495456,0.19644313785640424,0.2809792497216935
 
 
8
  OPT extsubscript{350M},0.48169469248657154,0.3571499792303913,0.5061636493945053,0.40226502289268884,0.272974281569549,0.40404952511474124
9
  OPT extsubscript{125M},0.48600529320435076,0.409285168988368,0.5499158787006698,0.2905279206532933,0.22503489216228176,0.3921538307417927
 
 
10
  GPT-3 extsubscript{davinci},0.70571789216601,0.3956531368425896,0.6475957959742583,0.7399152540158276,0.5197407005278296,0.6017245559053029
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-T5 extsubscript{XL},0.4948996416160854,0.2585068655322593,0.40334740581651923,0.3234891964665975,0.38715447342514303,0.3734795165713209
3
  Flan-T5 extsubscript{LARGE},0.500097970006437,0.2791015777434352,0.41810593292697185,0.3014720569753186,0.2944442528504654,0.3586443581005256
4
  Flan-T5 extsubscript{BASE},0.4566419932654189,0.3899872752372662,0.3459207357378026,0.23634179781685494,0.10649793272688465,0.3070779469568455
5
  Flan-T5 extsubscript{SMALL},0.47676097522939054,0.40833571261581375,0.30934590563428976,0.22436672671700258,0.16942071664102182,0.3176460073675037
6
+ T5 extsubscript{XL},0.5446721421811761,0.36070079168059405,0.5455346746040511,0.38386092796999827,0.3385425126933779,0.43466220982583953
7
  T5 extsubscript{LARGE},0.36104055160378007,0.16276615505429307,0.3156410828516156,0.174686170687364,0.29006506622651235,0.260839805284713
8
  T5 extsubscript{BASE},0.4484817273521575,0.4231564950166599,0.4386362852295569,0.25739482237701783,0.22215778149637408,0.35796542229435324
9
  T5 extsubscript{SMALL},0.31788332936795455,0.4067532853282234,0.3070207273509307,0.17679576870495456,0.19644313785640424,0.2809792497216935
10
+ OPT extsubscript{2.7B},0.6617839082166836,0.4307367076820927,0.5980792179334641,0.588005105364532,0.4801860336326363,0.5517581945658818
11
+ OPT extsubscript{1.3B},0.6174316679600876,0.3921023243923869,0.5616838228100176,0.48487821765846983,0.47457379958043716,0.5061339664802799
12
  OPT extsubscript{350M},0.48169469248657154,0.3571499792303913,0.5061636493945053,0.40226502289268884,0.272974281569549,0.40404952511474124
13
  OPT extsubscript{125M},0.48600529320435076,0.409285168988368,0.5499158787006698,0.2905279206532933,0.22503489216228176,0.3921538307417927
14
+ OPT-IML extsubscript{1.3B},0.6061643551928231,0.39118374464983446,0.5777955887284701,0.5394270768056251,0.4168298148649338,0.5062801160483372
15
+ OPT-IML extsubscript{MAX-1.3B},0.5909364112710048,0.3755292932389407,0.590692477920735,0.5158492166090246,0.40518685793640347,0.49563885139522174
16
  GPT-3 extsubscript{davinci},0.70571789216601,0.3956531368425896,0.6475957959742583,0.7399152540158276,0.5197407005278296,0.6017245559053029
experiments/results/lm_lc/opt-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.862848866750358, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 18.09034896349846, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 12.881173424429049, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 13.027442400261075, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 14.92409738123912, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 12.64367761727327, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 14.589702496006172, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 11.574251363224436, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 13.51070381403855, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 15.584541259998353, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 13.117240091349158, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 12.563134921287624, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 12.388551091555996, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 14.552235537421558, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 13.433599693760547, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 12.651822370622835, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 11.550017857939098, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 12.580606573984575, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 14.658777192768076, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 14.656093336220795, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 14.720181962283224, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 15.528843199566808, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 13.087869266652637, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 12.92232434010451, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 13.102196578189044, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 13.93295751889563, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 12.421892494823894, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 13.356524798778517, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 12.159755288252216, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 13.324206828803119, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 13.68039378773805, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 14.354489327741572, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 11.07516315451593, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 17.484216524859864, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 16.08201962937718, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 13.644188429994312, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 15.340580719344258, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 11.884080119839034, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 11.503853058483747, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 12.494285948940746, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 12.503792158471422, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 12.41034166652089, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 14.510885635608242, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 12.77293186463433, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 13.753214298189114, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 13.549177776614023, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 12.028151386569784, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 12.620547534790369, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 12.665195232314003, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 13.156607259325208, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 12.385683418921603, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 13.571518070249715, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 13.258670404851662, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 12.649047559802892, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 12.208869489470368, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 15.405238191936705, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 12.946803857843554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 13.356180883290572, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 14.002955273246974, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 13.7894393694637, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 13.811948593067033, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 13.535581490830387, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 14.394635085473949, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 14.781724128258825, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 13.748512984629176, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 11.916237139414882, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 12.713719602389373, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 12.965662240259245, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 13.58522494988734, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 13.026249756883132, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 13.206535775790467, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 16.71300872481663, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 13.352668994161284, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 15.953593095551637, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 11.744150687508581, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 13.409005362409188, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 19.07815163787983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 14.109050798835813, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 12.21551961584867, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 14.129531372466912, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 12.208284428404628, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 16.600308854597554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 16.12520517905792, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 13.396194889011626, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 14.422426341743188, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 13.89466913253552, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 13.23975516344896, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 13.058000692173952, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 18.02046582728799, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.71353041508874, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 12.947976879240352, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 12.15541029647008, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 11.848209868704542, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 11.814853257437811, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 12.833053228706294, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 12.69930841982569, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 11.358371005935098, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 14.70268315237937, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 11.146110605251046, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 15.118869129101359, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 13.471173175470144, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 10.223006819869163, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 13.152501855478498, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 13.551956184560247, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 15.236950191438288, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 15.19984671360554, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 13.298163997225666, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 12.667094714367117, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 12.440454913390239, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 14.072660479142941, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 13.272089795283216, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 12.770593285067832, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 12.313804723149513, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 11.815419463990327, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 11.64431698735938, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 12.292022465000356, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 12.93999934394264, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 14.652770647935741, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 14.913928004952126, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 12.864508081257648, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 13.11635819596029, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 13.112987525339857, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 12.656287474032299, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 13.089151810270602, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 12.25637312426983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 12.581287467637736, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 12.44692848675955, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 10.881301531068791, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 12.501496894165776, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 11.888594560174074, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 14.051019425233678, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 13.320036423998742, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 13.576634679464151, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 12.704311249753088, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 13.21527626357279, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 14.23372484196673, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 12.659235909128267, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 14.184054972621755, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 12.945596991492813, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 13.285370727901313, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 13.838878828525127, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 12.965547864337296, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 13.387829479450998, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 12.282999387047136, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 15.20976500931368, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 12.667360483378772, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 13.138257359974377, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 11.572220537219096, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 11.674280364181357, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 12.695739202984212, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 14.137042295759981, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 13.289989715358601, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 13.85552794081082, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 13.69154015685988, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 13.266834912308207, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 12.373464125504654, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 12.86622886060541, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 15.44283935731817, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 16.172358172418967, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 12.925547386608294, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 13.737637934782859, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 13.567564618281189, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 12.690071084760211, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 12.876625911847619, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 12.658046795347024, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 13.469310473041894, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 15.309030871906856, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 13.943046385148232, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 12.831000375606976, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 13.391334652424735, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 11.466325257241218, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 13.06575815102358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 14.680241245449114, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 14.776343596838393, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 14.798057414327278, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 13.635538118740346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 13.601601328014326, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 12.571878203288556, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 11.755126305938406, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 11.832116433480932, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 13.096637381270089, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-1.3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.099739344888862, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 14.525686705413449, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 11.39360306194562, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 14.402664651563978, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 11.503916141499618, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 12.567889337636927, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 12.00649370116538, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 12.737205686938953, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 16.098584455885636, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 13.475146730734899, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 12.413626431338583, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 12.23444160106134, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 11.837042918498682, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 14.077170568612429, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 13.234601433083204, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 13.40500656681941, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 12.520602151348148, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 12.335754987408723, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 13.429849715331025, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 11.994199531524766, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 12.516608665445746, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 13.363889262077368, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 11.458878112615382, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 12.312234149011498, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 13.567069709107743, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 13.613358583638147, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 13.048928663059307, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 12.447424082319444, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 10.631849541621673, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 12.718288421874114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 12.890918673251926, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 11.31813587107486, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 13.090833974023912, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 14.096566313984377, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 14.487140647402956, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 13.461059872987166, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 14.271613647473146, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 11.97645145150366, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 11.808677453100785, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 13.1685041664904, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 11.822266795037716, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 13.906434363610753, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 15.957256414655753, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 12.177844690919057, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 14.775779934814313, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 12.633929509482167, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 12.160387311000857, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 11.043485281307102, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 13.146191002985697, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 12.337699189972188, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 13.217819177481166, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 12.711870712792324, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 13.807158072423407, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 13.328445271891962, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 12.982111959295727, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 12.149279514992358, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 16.449849591089283, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 15.322139828255768, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 13.823492174411793, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 12.096156232093914, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 13.684063647437062, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 13.995111843681117, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 12.75826497067351, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 12.879315536231843, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 12.35411210609714, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 10.650766046008853, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 13.116602118540111, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 13.809755612424452, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 11.135185912473212, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 12.899342635066773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 13.114757175736953, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 11.823078593546986, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 14.327717113422828, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 13.799648038578546, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 12.411344759250193, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 14.74249512219392, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 11.585057152093228, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 11.5840296991114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 13.306381376661164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 11.619845359547712, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 13.585286490457285, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 14.761343428048876, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 12.599382132476373, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 11.931711025385535, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 12.323972796437737, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 13.101037697012362, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 12.219055789470678, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 13.423357779632179, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 12.247373295058212, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 14.778052328729062, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 10.969086993446046, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 13.11499481482454, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 12.385674559993646, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-1.3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.981372392412798, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 9.658144250620937, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 11.886823153518337, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 13.440836812314625, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 11.283626790281328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 11.665969411621194, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 10.501467976769831, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 8.985206734407369, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 11.922292960183892, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 13.05199346334278, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 13.37147138073926, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 11.913058425904914, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 10.266016420544785, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 10.991771421003303, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 12.33358172579203, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 11.031661671743322, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 11.682691939770507, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 12.75283345913939, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 9.889012323251546, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 11.096744037190387, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 10.003615398811494, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 10.9573064637321, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 12.065489772667432, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 11.44133020594717, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 9.39057714088534, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 10.458818393633733, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 10.912917463641561, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 11.493783412440022, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 13.546361181788441, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 12.661388066536405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 11.877398042728279, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 11.491991375348677, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 10.71014073375844, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 10.16236806322015, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 10.53085792606345, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 11.312635060806775, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 10.39409424122203, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 9.585920343981234, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 10.153475077489034, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 11.123083790391593, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 9.983689116371997, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 10.369673593719629, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 12.003425416993018, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 10.941019657687523, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 14.235879931225453, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 10.255435967421507, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 10.31224047135872, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 10.456080804847991, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 10.659484629144037, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 11.751968154395575, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 11.052983861145348, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 12.89847538931156, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 12.358416157905099, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 10.646823180197217, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 11.70283358665033, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 11.42396442081833, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 9.124507856339747, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 10.389005377162219, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 11.887137736063925, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 11.367495370053858, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 11.605431671758021, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 11.342350678121543, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 10.961050708965988, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 10.891400653369413, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 11.291441912515438, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 10.696225564640581, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 11.102057814311268, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 10.573249193685777, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 10.156755760356315, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 10.192381113073164, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 10.732860274550463, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 11.01344188269807, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 11.549783792508908, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 10.427364432717273, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 11.763195073280222, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 10.309371649595931, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 10.36388255892549, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 11.41959646475054, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 11.759258124029449, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 9.997995420447937, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 11.71475369175508, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 10.198917620729393, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 11.096693769575268, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 11.443188006057525, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 10.76774878449642, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 10.721681090611959, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 10.194621868234577, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 9.995056740617258, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 12.097361782588319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 11.564304822813028, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 9.39199670320062, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 8.969015293250681, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 11.109874322242076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 10.83576585477273, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 9.712198412453377, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 10.850806784016505, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 10.485846223355681, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 11.117205971180894, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 10.77638327643009, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 13.188952647875288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 10.975689830893351, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 11.692626007909892, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 10.142207774816988, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 11.382628473463077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 10.037865943933744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 10.033956194311507, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 11.00091340112178, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 9.763486583586733, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-1.3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 9.473784715537473, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 7.877017532812878, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 9.267269915077843, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 8.643873592578357, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 8.71775821710708, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 8.19488078279125, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 7.454171463754006, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 9.83449460226871, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 10.095070577960152, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 9.014824784365647, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 7.659345838476763, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 7.905319420360277, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 9.20160344270035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 8.053521102186341, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 8.885812214753276, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 8.684292648267686, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 8.643177049944107, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 9.965988276153071, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 9.101169048006685, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 9.261646262245462, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 7.908905075390941, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 8.16908231507505, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 10.031193489493456, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 7.657536357072319, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 7.864756055363475, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 9.838906021416312, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 7.993790222546035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 8.89274891123648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 8.130142345541454, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 7.805930134522034, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 7.263806170503676, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 8.576923387926259, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 8.360179040036957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 9.736479663843918, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 9.471171729632294, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 11.055851370581626, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 7.772115205742593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 8.383176517260033, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 8.956463241265165, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 9.264082170365546, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 7.835102950784035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 8.005416841538622, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 8.415068402918747, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 8.331386811538549, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 8.05237679849106, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 8.224028663179302, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 9.567578801307702, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 8.083738723640574, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 8.92737109771479, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 9.146990527019904, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 9.693465028591625, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 7.010165781541481, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 8.867657925771804, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 7.878458111486419, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 8.609599551131364, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 8.348307873182263, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 8.691277170404474, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 8.355386715191182, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 8.136782058121296, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 7.408691493955103, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 8.315856072110725, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 8.638891869063698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 9.97137629814547, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 7.663457561139768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 8.328934021268713, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 8.212025807426835, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 7.5863927903287305, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 7.22794573073154, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 7.530309605437879, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 7.591198317137753, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 8.48288661507824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 8.65367441255592, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 8.14832135504487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 8.331273589935766, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 8.791658106573612, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 7.971610064021868, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 7.8007506103866096, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 7.229920013605075, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 7.940471120435912, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 8.748526017338692, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 8.510877268980204, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 8.695662971309648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 8.182764392632665, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 9.00333335063166, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 7.485237723880933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 8.763462732598306, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 8.791653914385344, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 8.590538889161042, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 8.5583227464358, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 8.253764295006363, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 8.011158180152533, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 10.062176882658527, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 9.087101698921352, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/opt-2.7b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.577414473065357, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 15.657426319872487, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 10.375947774108734, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 10.728605645253554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 11.454152710884525, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 10.480797397698801, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 12.528348010333133, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 9.532257634213153, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 11.100207759618014, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 12.405076020203955, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 10.48105477899187, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 10.790881246334624, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 10.373221983972652, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 11.91266363151642, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 11.290647774029674, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 10.272345440059004, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 10.34997308415929, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 10.742708929886092, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 12.763175392550172, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 11.46395531062057, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 11.966350422726798, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 13.236684144356047, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 12.537168711253683, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 11.055727483018147, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 11.73794187669114, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 11.363639378161468, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 10.361145116607174, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 11.199909680584817, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 10.349788013873217, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 11.263016980372464, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 11.316419784523983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 12.269006227975272, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 9.233957803999195, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 13.377498072105745, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 13.237410014685791, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 11.587435558159344, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 13.20718442051905, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 9.921898193655608, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 9.39162499895575, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 10.548739603218673, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 10.687846410317922, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 9.944571979682422, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 11.808854825143143, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 10.404182706705678, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 11.222595176652025, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 11.34811214471695, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 10.045239749308317, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 10.422890453456457, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 10.411780925362525, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 10.493676710041214, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 9.979124750468932, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 11.20926753151921, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 10.942457058940928, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 10.507095399195192, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 9.860289880027965, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 11.908264973480454, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 10.705767487294576, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 10.818736244985024, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 11.741328602722808, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 11.328121854672876, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 11.533570482622071, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 10.557759788178029, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 12.341306041096697, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 11.826168447621658, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 11.737779562294826, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 9.9105050827991, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 10.101366459367634, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 10.495878602012665, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 10.990702250855998, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 10.414596304461746, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 10.695623739351522, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 13.756746258122915, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 11.08255644966937, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 13.038790394606833, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 9.623920412851742, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 11.037488999423976, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 16.070632099492325, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 11.005790308175472, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 10.466563815614645, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 12.604925596542188, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 10.077832993654397, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 13.3778042622417, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 13.014583763452197, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 11.362856416640069, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 12.617948049856988, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 11.369642068623863, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 10.702819808946641, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 10.67862342809255, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 13.27557099582362, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-2.7b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.508091360443409, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 12.102340998020713, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 11.461197823394956, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 11.052190683357683, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 11.473033193131759, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 12.403372559229346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 12.409161139118492, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 10.659840433767227, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 14.088169968144227, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 10.409259150997322, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 14.939024298646105, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 13.073264629350724, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 9.899224180596732, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 12.38225253487097, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 13.134909246085893, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 14.68270198137099, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 14.956961300526016, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 12.99054286184761, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 11.908974782537838, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 11.989667858408003, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 13.371398056774536, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 12.79538938589755, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 12.423210481170846, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 11.966350422726798, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 11.372212134800881, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 11.327298130034379, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 12.14749533181456, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 12.58156043535289, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 14.22788907335669, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 13.96926967489418, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 12.305044358925999, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 12.368311437325238, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 12.565935824733133, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 12.091098844171448, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 12.724272510270364, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 11.551582087516755, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 12.588758720695246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 11.910897157891254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 10.18398145275271, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 11.921949023111164, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 11.741390188603733, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 13.663078816403274, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 13.119917413587398, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 12.888881147211208, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 12.191393794248622, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 12.841555719351984, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 13.251006920549697, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 12.484730411288979, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 13.26198998937254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 12.598973605056806, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 12.595684841194917, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 13.735987278667931, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 12.182676947650437, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 13.167578012325187, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 11.914657619014562, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 14.385635898918592, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 12.266640002525358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 12.691127045193962, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 10.819401747485593, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 11.191645585760387, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 12.174451060706588, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 13.859558693643189, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 12.629794485800554, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 12.795062969595596, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 13.555333040063948, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 13.201640480455639, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 11.888946038635583, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 12.320964381269855, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 14.530442448556073, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 14.68284550785918, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 12.59480798249541, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 13.07719252486885, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 12.840848494104145, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 12.623659196418599, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 12.58671793823282, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 12.164594868296437, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 13.320500090715646, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 14.974405724775918, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 13.220025323138167, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 12.43100574836604, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 12.717742623860007, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 11.065724662451766, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 12.676959084173609, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 14.170899336519481, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 13.683796122181258, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 14.755242086973686, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 13.03955204587199, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 12.82646751782861, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 12.092044420718455, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 11.299184323161471, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 10.950623305985111, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 12.53895631686613, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-2.7b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.836572295179247, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 12.620749137592288, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 10.428028236514136, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 12.707779863871712, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 10.02750150332374, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 11.160307710576193, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 10.711065139395378, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 11.424481932759099, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 14.464217311448094, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 12.56693052035155, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 11.189287060438188, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 11.120832512840304, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 10.761035001165792, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 12.59708433803938, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 11.835101424120687, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 12.695191345886988, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 11.133208235891242, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 11.336784040909658, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 11.684675292125172, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 10.571988839285623, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 11.177424604728232, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 11.872403811283329, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 10.567898764132245, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 11.543476827305074, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 12.498778892391522, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 12.092151091006771, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 12.36222653869218, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 11.306789167109716, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 9.782227014215275, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 11.894812160251428, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 11.473883929180191, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 10.598561138725875, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 11.366899136830137, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 12.833245987367873, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 13.737811527209809, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 11.922781879545942, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 13.061821233230813, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 11.041284336008555, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 10.950685966133557, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 11.992664003139064, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 10.749534297579181, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 12.690558207452742, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 14.075791213744102, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 11.179777964164675, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 13.221853551340361, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 11.976000305452116, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 10.491727920663962, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 9.934000702019482, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 11.403443562383798, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 11.376165965393048, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 11.896077058620932, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 11.150520169981435, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 12.323990426034845, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 12.391487378258594, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 11.637467288108445, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 11.216568499216848, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 16.75240391376248, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 13.043507130078751, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 12.557621812032364, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 11.035736531294273, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 12.247539736265473, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 12.522617285811888, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 11.67567769719928, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 11.805012360645565, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 11.485858366826761, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 10.342022980872066, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 12.687124542445941, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 12.570913087408588, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 10.322931213865731, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 11.328799784471208, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 12.430848668873935, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 10.408157307533072, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 13.03994998749234, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 11.936565141656029, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 11.343556827549195, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 12.903741268263644, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 10.571235219139016, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 10.495142918532817, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 11.318100791228881, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 10.586365789886381, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 11.844100448981205, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 12.965436580624907, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 11.315448530105101, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 10.94010670595312, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 11.148941138037777, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 11.697865343508154, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 11.0954186357071, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 11.851588851138441, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 11.113620357481715, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 13.141054895126235, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 10.04181552341032, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 11.503962768298898, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 11.361667176917761, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-2.7b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.264824504136355, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 9.138585178366846, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 11.829998054849666, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 11.888095705359769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 11.223775211448267, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 11.499339406837134, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 9.864235439654184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 8.329482112543365, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 11.313568310561925, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 12.388982333530791, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 11.690568837310044, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 11.116333974940455, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 9.64740131479685, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 10.12792692199403, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 11.007110251718949, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 10.121889592606076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 10.321430004091624, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 12.17951717822739, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 9.135866429864256, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 10.171033613761354, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 9.125800166452153, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 10.011816167573627, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 11.286368463876144, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 10.820198856682216, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 8.591362282537599, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 9.934322816486898, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 10.83106758190033, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 10.550052523011287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 12.367883863606417, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 11.471340115203683, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 11.374169895586148, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 11.456998644272911, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 11.006065830037311, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 9.832724493285545, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 10.073304841405568, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 10.521180914567383, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 10.032587902551347, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 8.626581747979829, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 9.147145366016836, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 11.049656058247983, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 10.230414185942179, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 9.623330738910076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 11.056573636355608, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 10.536666897430548, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 14.113972984182407, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 9.791420454337295, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 10.232917030004373, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 10.547059706636404, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 9.784578219514255, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 11.06177323314487, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 10.604903012129437, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 12.329991830650934, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 11.599141331606578, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 10.436161397182323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 10.469513821575513, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 10.67034455877596, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 8.636820087172751, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 9.764252458704705, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 10.998988418109805, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 11.048886827581816, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 10.939767628997405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 10.592288718002722, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 10.225522479455405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 9.854529565433962, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 10.583784066769029, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 10.273900747722006, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 10.444774033807388, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 9.596761843138896, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 9.259482529462465, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 9.671483674551004, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 9.90865514507244, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 10.454854358208879, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 11.57534418337167, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 9.343626759600436, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 11.311804371454976, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 9.931168439249308, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 9.454620762138578, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 11.087955957663146, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 10.918049502957869, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 9.493397180099814, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 11.218047450504383, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 9.103282764130425, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 10.120598588048232, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 10.74417407130856, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 9.96166000445456, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 10.619466507262404, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 9.860010129716471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 9.796837891676612, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 11.618911776627794, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 10.912456947275775, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 8.540536173369302, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 8.317462177407364, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 10.481292175108193, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 10.027415436957323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 9.041463824560678, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 10.996728173306966, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 9.326026750609296, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 10.879148471414185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 10.247345923812611, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 10.944139919198921, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 9.983305895914373, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 11.244396320940773, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 9.547567239055804, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 10.515658768352205, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 9.694516637112281, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 9.502196837095408, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 10.276485283457683, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 9.163103460050236, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-2.7b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 8.455221856180549, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 7.586097971928117, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 8.547066798290608, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 8.110708181996921, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 8.376934887467838, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 7.5196311671980025, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 7.023916943360099, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 9.169895881313186, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 9.916494350033261, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 7.954633181425834, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 7.149449019873673, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 7.363377530794349, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 8.48271470620942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 7.496728778603582, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 8.128934826360743, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 7.86895365781464, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 8.091345552182796, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 9.141644737540702, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 7.7929859094898335, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 8.503502472009837, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 7.686379990232819, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 7.592324147663604, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 9.511224610467895, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 7.0730812513191985, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 7.7486692143973706, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 8.472044978340454, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 7.334561148057485, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 7.965690056210012, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 7.5855318803737655, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 7.458197938214922, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 6.919219991415091, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 7.976800336216676, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 7.823106289228905, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 8.489628188453851, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 9.015602865163448, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 10.021808371061843, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 7.2919872878216525, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 8.102704501711758, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 8.294868445144388, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 8.751726236809983, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 7.254860738743732, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 7.338801211411187, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 7.96917959286227, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 7.717782843208188, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 7.427760991851768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 7.591522293057096, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 8.766522107591808, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 7.802753919432196, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 8.194972612461868, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 8.404628035684077, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 9.136522079638212, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 6.586200490693759, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 8.559910374005181, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 7.21465771179959, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 7.929245076710155, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 7.571954738136244, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 8.0392539035806, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 7.779718143379415, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 7.305936792174196, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 6.799577386693345, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 7.735598622171723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 8.307434057754218, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 9.657821880657039, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 7.234092685609902, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 7.557985632073517, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 7.488966723071627, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 7.247121895886653, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 6.974095816514155, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 7.495341915988734, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 7.187870432551126, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 7.797096873110475, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 8.035944431123212, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 7.882753237477743, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 7.675203913102867, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 7.924643095473815, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 7.512875273316061, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 7.569754403669079, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 6.8260135996902, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 7.3944788025367405, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 8.555336029665408, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 7.850510681692598, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 8.148158168938192, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 7.574146683092667, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 8.524219239564207, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 6.864710490650131, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 8.212693478305408, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 8.696284955836273, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 7.9308332383861035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 7.623251856903475, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 7.605430079759634, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 7.329506537085997, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 9.279711055045965, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 8.47567550360045, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/opt-iml-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.542929783011186, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 20.686462558114858, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 14.181231498914853, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 14.737209683232857, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 16.16987137866018, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 14.231807595886918, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 16.76999110426398, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 13.01038929361066, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 15.096180673170052, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 17.870763879867013, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 14.922869858902633, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 14.729197284437168, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 13.713399136314392, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 17.528797676176318, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 14.91168093549618, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 14.153189625057925, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 13.509379964548371, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 14.0386465370241, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 16.676656127507727, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 16.668352280060873, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 16.869011764026673, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 18.37492384002175, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 14.804617665094959, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 14.780885383491885, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 15.362581589697438, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 16.058720435268054, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 14.379768703003446, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 15.133601171820555, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 14.2470542919441, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 15.482902004587443, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 14.981426337105804, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 16.35728239206734, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 12.32699370210333, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 19.327077307809493, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 18.441656663094726, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 15.14205738602873, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 17.16604282324913, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 12.808275750963153, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 12.67225706688079, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 14.323020891546204, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 13.924874418453621, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 13.622907468885678, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 16.40701110325024, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 14.169260807498393, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 15.771292343692629, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 15.365035811377, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 13.809643667799607, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 14.23765854981684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 14.362588955882183, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 14.777090482140865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 13.461781999878772, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 15.429685995171136, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 15.450389014770522, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 14.884096628010187, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 13.389974612983478, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 17.32355666337019, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 14.5485097464126, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 14.852763180723827, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 15.743322715416802, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 15.507491545090327, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 15.394307863000574, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 14.425122436038682, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 16.784683209423502, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 15.946158725787114, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 15.962591224194234, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 13.36336673557678, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 13.81536058849781, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 14.51357404411495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 15.339523744195764, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 14.5618354039674, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 14.83067207191661, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 18.714469044473503, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 15.051720446351442, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 17.795754082983937, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 13.072706714513146, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 15.238141787250598, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 21.89448042240527, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 15.530901850802236, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 13.915296341894988, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 16.019153728176178, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 13.972117571233204, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 18.58568928824918, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 18.565582643844802, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 15.364262872407755, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 16.499950200446, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 16.14625242784271, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 15.521255206366384, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 14.84205498920142, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 18.750899989737754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-iml-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.15918417668356, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 13.262660330133073, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 12.66294581679334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 11.643761756295078, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 11.824519109352616, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 13.009713092944352, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 12.990003962527627, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 11.307700366853267, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 15.591219703143366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 11.382023305436928, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 15.731616148042837, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 13.520167799801852, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 10.596623188313417, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 12.842014977384316, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 13.830415039795025, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 15.276103568304553, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 16.328639481326015, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 13.047338984205407, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 12.491337215751855, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 12.461591021368893, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 14.960463539641117, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 13.78698370721511, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 13.453827903679672, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 12.734849358611422, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 12.06335837298474, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 11.450876120249955, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 12.412377526435488, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 13.132989711637219, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 14.842897205051814, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 15.04553854149824, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 12.635727899089531, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 13.006614806381366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 13.46679944404946, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 12.35747626779699, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 12.838531150113592, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 12.292878243575778, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 13.139657619467332, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 12.536905673745459, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 11.012449371558143, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 12.539022086481884, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 12.224326995226397, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 15.254986672946872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 13.201023581662033, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 13.81031205652524, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 13.082727872093518, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 13.417275239776169, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 14.470353562040831, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 12.975322917440275, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 14.873433222245957, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 13.818256176066946, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 13.467566831622959, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 13.742309318212063, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 13.49676963869839, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 13.776498646052774, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 12.661849937613729, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 15.087987496276597, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 12.623144545663754, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 13.456862675739615, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 11.961894866011185, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 11.886570926680099, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 13.360407199753382, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 13.456798508571035, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 13.262208162598949, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 14.378075171149602, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 14.205362409836347, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 14.147096800539845, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 12.267956140823145, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 13.43826060488459, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 16.15042974784207, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 16.37692617398454, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 13.408624930041317, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 14.212164777225757, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 13.794805872185774, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 12.93113878246081, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 13.237107037882376, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 13.316991233496069, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 13.81052607945715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 15.404547703151522, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 13.562904130500327, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 13.073336318458358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 13.327231427057162, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 11.644811165274302, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 13.567826636328945, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 14.954779057051729, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 15.010454276266339, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 15.095838752097416, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 14.087558664980408, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 13.601403514110595, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 13.399705446937414, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 12.380422331529818, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 12.059441721564138, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 13.143408042586872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-iml-1.3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.55013313202643, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 13.136161948378076, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 10.560687658239763, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 12.623550847147593, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 10.100798103946127, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 11.722132366981777, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 10.798573926548167, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 11.537717952927757, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 14.964098603846553, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 12.341114786796366, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 11.164331602773355, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 11.138712091822944, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 10.704685301552347, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 12.547844319306007, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 12.196155824584043, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 12.121983567990041, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 11.481433896898132, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 11.149983167695318, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 12.214835219416653, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 10.574476923317132, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 11.248305713206516, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 12.116516720359549, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 10.63465850477484, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 11.574157540041531, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 12.303486635649303, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 12.20515293645024, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 11.912870967945267, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 11.32371764961693, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 9.913950714811213, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 11.763854164343888, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 11.577334153702852, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 10.53773209742156, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 11.531346094803105, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 12.58405341452665, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 13.336967540344071, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 11.9909685735643, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 12.960340192124265, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 11.088434455009079, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 10.713396936732703, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 11.969389253796093, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 10.879781374856686, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 12.614515985647174, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 14.528083433081523, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 11.17936215908011, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 13.867980802348596, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 11.818828544482814, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 10.619517144945442, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 10.024766866674481, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 11.792061354176482, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 11.375913725282276, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 12.51840527799077, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 11.39360849484022, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 12.726481237711438, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 11.899940652656792, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 11.802600551177886, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 11.053558357677147, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 15.196712340955274, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 13.938482893880282, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 13.136271565512763, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 11.056286305998345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 12.11605740943619, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 12.654271948493555, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 11.535121483962168, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 11.36266407102628, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 11.36383174028512, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 9.772413106115776, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 11.946891681231909, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 12.866955890022481, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 10.46427326772329, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 11.72964712760999, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 11.960508904452434, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 10.63972817761843, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 12.97512493123538, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 12.833530541159998, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 11.095992692363117, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 13.239051259555616, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 10.51074594461703, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 10.396304981792698, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 11.894769621164285, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 10.553544376752642, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 12.051669699909818, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 13.465162068652427, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 11.728162245164617, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 10.885510306632122, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 11.303880828468706, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 11.70808587042363, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 11.131942176404946, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 12.32761090426205, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 11.09254086387652, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 12.938657379260956, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 9.943554885258935, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 11.855531273083587, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 11.234818961912943, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-iml-1.3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.952362258187323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 9.628652879230993, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 12.123133884793374, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 13.683590588037488, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 11.193697693682664, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 11.795953038186846, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 10.487983958811153, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 8.935680178440993, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 11.85278133077372, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 13.124669754795027, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 12.803668499860514, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 11.922147993761735, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 10.359907575481591, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 10.948258147603672, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 12.258941960706201, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 10.85593290870035, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 11.659182028892229, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 12.952472387166482, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 9.9046682035726, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 11.30752243450682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 9.83044609361245, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 10.905780343317558, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 12.19580398705188, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 11.340887785590164, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 9.271464474803553, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 10.470424947431656, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 11.269584483469405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 11.133916973554145, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 13.44263788738675, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 12.448916923504884, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 12.093863710402983, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 11.725584421246829, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 10.847697614758765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 10.254069255160967, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 10.551798305439258, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 11.804806901431581, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 10.834791938685264, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 9.44499140105795, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 10.194298605254266, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 11.374072270721811, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 10.359633409726174, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 10.78764007251207, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 11.769596830258159, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 11.254268945997515, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 14.259107704211601, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 10.278501917732678, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 10.468250857694631, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 10.467507128117907, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 10.7533280421352, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 11.708789330705589, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 11.28611821481682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 12.848896628904887, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 12.403502676468149, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 10.919705178363218, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 11.076890192286614, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 11.306282377729438, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 9.158534303235875, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 10.344306499308122, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 12.185727134779569, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 11.768656827462564, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 11.571588736052291, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 11.406499895006883, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 11.437045594249744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 11.082004225369447, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 11.287302237838288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 10.530810221880014, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 11.133202927165131, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 10.4830215806408, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 9.817091048349932, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 10.188153697742488, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 11.22077586500045, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 11.16221302368737, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 11.655085374262693, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 10.005933933884814, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 11.693980927696105, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 10.482381767306405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 10.544050141960426, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 11.218956848280202, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 11.912845405724768, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 10.166083043727049, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 11.525293753368203, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 10.13835407046076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 11.155423505490145, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 11.54926335813997, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 10.781818695060162, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 10.666745394051981, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 10.139686019703545, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 10.17408710091768, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 12.03806636219315, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 11.747556009958268, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 9.365780668464328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 8.997887024385667, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 11.350119878075928, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 11.020473417519622, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 9.785478731491661, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 11.005018883655486, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 10.67397293149858, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 11.038146904641907, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 10.99432684446716, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 13.416472332948391, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 10.910505822365227, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 11.96469579697896, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 10.010937789009354, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 11.624104224678991, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 9.971514186058227, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 10.222202524438961, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 11.122590538659658, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 9.824033312347046, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-iml-1.3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.58906011606384, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 9.783220609419688, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 11.279393168565015, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 10.790832364260435, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 11.18801995857544, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 10.213008808107757, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 9.546870711335087, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 12.173533868815621, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 12.065144581174128, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 11.418393119524861, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 9.466193920406184, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 10.03509259240801, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 11.279912199366697, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 9.974717050376665, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 11.248876952189992, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 10.826588169798418, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 10.689862211684478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 12.384171586952908, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 10.859919554925598, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 11.907759615216467, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 10.370101314392546, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 10.272906303392716, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 12.470736372772976, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 9.67176729966135, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 10.09965667314448, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 12.664087081044679, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 10.013441848578037, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 10.9755537577014, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 10.217755669476212, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 10.074359226652536, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 9.192742431918875, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 10.866296052824945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 10.69802869308864, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 12.451407369120158, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 11.747777278055395, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 13.877420434296363, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 9.65229721142032, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 10.725283449042845, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 11.480172030767065, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 11.306406377287258, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 9.95104446419474, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 9.983905725746348, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 10.78425074357196, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 10.439269590235401, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 10.277962802990695, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 10.511237123687579, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 11.806825059876347, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 10.437475236156303, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 11.02662607819701, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 11.81079482979894, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 12.583285368299386, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 8.721381752803362, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 11.27028309348529, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 9.879720184849223, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 10.49720746714593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 10.428184870538008, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 10.937245747912753, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 10.655871343614075, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 10.37645244540151, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 9.489627100721204, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 10.575545945697105, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 11.072520304708496, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 12.956435038415393, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 9.525903102733576, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 10.544316618457657, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 9.93056704259198, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 9.775822380720964, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 9.078604195553606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 9.44543052424439, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 9.750324789876956, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 10.86327309513851, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 10.499472681524864, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 10.272029508694922, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 10.699842329661088, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 10.885531069115125, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 10.21564622223832, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 10.261061208501095, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 9.14834491183402, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 9.849989022622026, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 11.254722420464365, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 10.712388046454112, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 10.292334972442864, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 10.544542877373862, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 11.627011789387177, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 9.37501857761518, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 10.87994738841231, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 11.792837338944986, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 10.898310098733642, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 10.725912515773086, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 10.42650925715712, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 9.94291955039206, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 12.336790288609121, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 11.842363906332839, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/opt-iml-max-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 15.363138333966319, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 22.234661137661508, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 15.280944695319022, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 15.654925395332375, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 16.972088613214712, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 15.105970097717032, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 17.885388398216808, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 13.959428086496494, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 16.5309035439898, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 19.228406905272617, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 16.03274461185588, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 15.753377799778143, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 14.887769928959536, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 17.543957975009054, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 16.0796349012934, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 15.279691464886366, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 14.654779543968784, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 14.89099324286983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 17.519092103347468, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 17.779151120518687, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 18.304565451799554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 19.38152286925406, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 16.049893885885904, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 15.763074755635262, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 16.553238055915823, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 17.07300677058735, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 15.388858448569101, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 16.033868467475486, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 15.203373202487331, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 16.610578620375637, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 16.06197898723696, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 17.435366817826786, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 13.320150751279062, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 21.126195098523805, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 19.590172511640567, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 17.267587283579367, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 17.777998182557223, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 13.983901704942369, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 13.880024574239203, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 15.426044488375624, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 14.903353377029068, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 14.590116438158784, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 17.298099955946984, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 15.197784839653714, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 16.660207478665306, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 16.297342132169568, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 14.920532508615747, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 15.275881401398777, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 15.30415895417357, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 15.734043044311811, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 14.381825892554788, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 16.536441962283025, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 16.72571276346712, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 15.371015496576465, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 14.381719597218282, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 18.677400833866383, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 15.687072141519932, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 15.811528509675487, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 17.051239295467184, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 16.722921591917032, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 16.840717421573544, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 15.93922944005684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 18.15484493688417, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 16.533639014819226, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 17.233368512348402, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 14.505008855567212, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 14.69705807321352, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 15.81189041098453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 16.412351492209577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 15.78291931014616, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 16.18319271601053, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 20.901933191967867, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 16.10923898960577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 19.123746475819768, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 14.082840431590485, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 16.399443639279948, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 23.274479592494625, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 16.851995709334506, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 14.974444996769309, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 16.50296777356606, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 14.79454733952202, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 19.629852544260753, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 19.243302834011786, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 16.382842656103858, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 18.61162086528057, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 16.51792214409106, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 17.062898587390467, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 16.030512424813743, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 19.08132226562278, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-iml-max-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.819465390837786, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 13.14231758365582, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 12.46471698408932, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 11.793351878738257, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 11.886165674541289, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 12.904615021475557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 12.891103080641711, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 11.347032661354419, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 15.199676390044605, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 11.133850610435305, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 15.593621222823193, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 13.597175524582324, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 10.394413926866354, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 12.9288945359531, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 13.606674129404299, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 15.213293799321276, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 16.055458716453302, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 12.963532540651887, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 12.267885943215864, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 12.479745615624507, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 14.661395125207857, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 13.81288055062718, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 12.98786407152653, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 12.568698396623342, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 12.08284548749108, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 12.172343944349555, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 12.219772469967621, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 12.864983496391373, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 14.840066417056272, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 14.840869598284176, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 12.682645536024872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 13.191622591243906, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 13.164373079882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 12.365059299692186, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 12.936973179180923, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 12.37908527335114, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 13.092123050977154, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 12.385943283627375, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 10.943265843198885, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 12.435899916829166, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 12.145450794756105, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 14.837448418823243, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 13.242356460339675, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 13.87321579648525, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 12.764423074568832, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 13.17896323930113, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 14.341052523905327, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 12.623939103006409, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 14.381068126835277, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 13.682223701400545, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 13.353891523481002, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 13.580234613860572, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 13.33355925084425, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 13.613890885172838, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 12.522927794621959, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 15.183576752586404, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 12.51911862258985, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 13.26624343328692, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 11.804407251285888, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 11.731655233728944, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 13.169238857140616, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 13.224798160576704, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 13.207814203162814, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 14.179967035460985, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 13.908055763210855, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 13.678407580967598, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 12.075288698327007, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 13.009083451447516, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 15.27368175920342, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 16.623624912038167, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 13.003852092243392, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 14.232859504236554, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 13.417950230498471, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 12.493550189739164, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 13.09831426127364, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 12.884281763801205, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 13.652600099262276, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 15.222984954016171, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 13.695826876733003, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 13.119326228846427, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 13.256751747880372, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 11.589963667734565, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 13.281567129956423, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 15.079557882623444, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 14.675845850513864, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 14.352494220641352, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 13.759337594633026, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 13.60091709871349, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 13.250684677271332, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 12.108277768675023, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 11.812338050891189, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 13.136678722878708, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-iml-max-1.3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.113353894277756, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 12.631170668960417, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 10.302626795895131, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 12.370555704531823, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 10.029538622966097, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 11.410095669071662, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 10.672420671567622, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 11.428775461939422, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 14.695229072040737, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 12.12132464170925, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 10.993406823587298, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 11.030872654030858, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 10.542360938195564, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 12.456719411134078, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 11.729428997505721, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 11.957526494868146, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 11.079143140137727, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 10.988205305139765, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 12.216938040319713, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 10.333019588922731, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 11.113506421242057, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 11.722174288668883, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 10.629976466925648, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 11.098633206324717, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 12.075254150698344, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 12.111996587473753, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 11.740947897175033, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 11.101748127019292, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 9.774904113204716, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 11.574071996037613, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 11.323320788224667, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 10.586734298298332, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 11.374286504161157, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 12.557085902775396, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 13.091249086644119, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 12.012526653810642, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 12.672054641295471, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 10.63413873994207, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 10.554342029949423, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 11.559268615613453, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 10.694086178523998, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 12.279558887051987, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 13.928227970470461, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 11.06892007396576, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 13.459564391151064, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 11.318079203685398, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 10.733351597148758, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 9.937985234363472, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 11.508148979186247, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 11.12252424305143, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 12.376789294047041, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 11.099548801733446, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 12.5451850338785, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 12.141220912157582, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 11.485609171305182, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 10.862990788137976, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 15.120862614984864, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 13.042300577885173, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 12.765649573562381, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 11.128431406321786, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 11.858680500197327, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 12.3526954259507, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 11.479651996148167, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 11.680062845596089, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 11.247678188326155, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 9.902850048640175, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 11.966938155214246, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 12.548520447983856, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 10.078121326893749, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 11.522252291265874, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 11.581941930258164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 10.502439474792553, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 12.847576364583269, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 12.501490932988945, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 10.974737353975813, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 12.8342955019865, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 10.41903194616695, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 10.266146144643937, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 11.42775097087571, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 10.565936190915966, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 11.994042252355433, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 13.057250415666186, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 11.414541633989979, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 10.700740333846424, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 11.10295516216623, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 11.45565206367384, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 11.002321946778661, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 11.96415381415829, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 10.852066742688507, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 12.876877656510445, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 9.81087878307751, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 11.566400442962866, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 11.047851611941704, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-iml-max-1.3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.034018540653529, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 9.711684369840269, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 12.376606342295162, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 12.828146507129288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 11.500751446447826, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 11.918902344505254, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 10.710196910829556, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 8.941446987956269, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 11.56224817545375, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 13.344897090344023, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 13.030014409129306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 12.075265666563581, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 10.429955247187884, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 11.214252847893341, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 12.51414098190501, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 11.039947133748905, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 11.598071151521324, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 12.945927248085264, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 10.04036716386071, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 11.45765970118701, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 10.0205157969709, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 10.857017442175922, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 12.425909087165758, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 11.592210418026475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 9.273394432880979, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 10.351463637509534, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 11.381179380433869, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 11.57235848966023, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 12.682721130708359, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 12.490297878755424, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 12.618922793956287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 11.573878834483503, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 10.731982603177219, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 10.414735355252166, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 10.807395466553299, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 11.909519944617985, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 10.969649283196436, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 9.491437276075136, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 10.384362167764655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 11.41874975386946, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 10.303361267028864, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 10.637777627310422, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 12.02111029167131, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 11.429271392197077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 14.376950831029774, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 10.587016998377425, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 10.635622038486384, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 10.806527158972246, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 10.729383274703972, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 11.971113027675266, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 11.276774175414506, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 12.794452867995123, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 12.556208737538135, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 10.921392351154099, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 11.612619667358878, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 11.384672170979902, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 9.426377864858447, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 10.558630763568315, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 12.028948643254784, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 12.04798663840722, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 11.880162193667992, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 11.421959964261976, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 11.42632337586327, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 11.311941916451795, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 11.441780306039341, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 10.726232177639092, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 11.14758558195348, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 10.722276712932961, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 9.881833302235368, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 10.385602630109702, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 11.384845888616463, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 11.266468135575753, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 11.7539772794894, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 10.30818207249441, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 11.878055036726929, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 10.655741775958859, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 10.716401182779657, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 11.411056003198082, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 12.118614172640592, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 10.245135104656582, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 11.69580167411889, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 10.262132799755264, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 11.209794025918042, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 11.51855251606971, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 10.877296662176242, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 10.952030634883766, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 10.269938239154605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 10.178036892998335, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 12.795978176545376, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 11.759168408352064, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 9.269490717903176, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 9.05475024376393, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 11.414753908189969, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 11.10132993053989, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 9.743258065234967, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 10.977846292812629, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 10.623080112014623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 11.361130840733418, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 11.101523145942796, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 13.288529080035989, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 11.091287362155144, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 12.053253015329611, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 10.106333705053665, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 11.491931097613158, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 10.25541640674839, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 10.266483924517463, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 11.238963504259067, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 10.100015463440561, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-iml-max-1.3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 11.319153233906313, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 9.758152731272233, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 11.001768474369666, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 10.346190904917863, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 10.887610113222806, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 9.87610043101798, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 9.257528980658462, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 11.509787118413525, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 11.844882682258165, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 11.409717542684525, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 9.261326086241258, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 9.811543108769586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 11.44118017651785, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 9.879635386894593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 11.0620369695145, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 10.400908895283335, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 10.611749616079813, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 11.961906273768534, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 10.568281747749724, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 11.311434896116591, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 10.10177588774938, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 10.085370812108803, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 12.138248426748026, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 9.244262386725142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 10.066342425859586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 12.261379784510595, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 9.720130156233047, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 10.957541584544073, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 10.0149149769134, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 9.763223546114423, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 9.030806095777587, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 10.698008288237697, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 10.450079566884268, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 12.14688135535308, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 11.25984338818894, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 13.81415509615222, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 9.523418786142757, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 10.307690551788703, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 11.25113000845198, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 11.171201118264278, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 9.694470410164861, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 9.8728044769557, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 10.599516347657373, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 10.303796078960676, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 9.924600036540491, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 10.201118466517793, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 11.44672438852138, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 10.26399000027801, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 11.075189559794035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 11.364211055421922, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 12.199305367908117, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 8.528732211363254, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 10.801020055178201, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 9.486168363473803, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 10.263324403612161, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 10.245066711229349, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 10.738132930647112, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 10.30771266971685, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 9.888712896802872, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 9.195817930255139, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 10.236230702830467, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 10.899190978238451, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 12.285547442179142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 9.293573583075167, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 10.277389411980284, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 9.80666463781042, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 9.7049186789873, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 8.744705645723135, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 8.979441673999814, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 9.449748529998914, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 10.981032036471083, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 10.293076072054713, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 10.196549506151586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 10.576569686339164, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 10.793266445980302, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 10.020866997464532, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 9.955080928746344, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 8.867734037816934, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 9.514374901610449, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 11.002760022880018, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 10.94750119600847, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 10.151899273890129, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 10.370692240760583, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 11.393855694285127, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 9.19184387039616, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 10.778359241566369, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 11.4922270095303, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 10.757469365389777, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 10.640669338234497, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 10.360552264089806, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 9.732002794499182, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 12.691756427298978, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 11.34204780872648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/t5-3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 8.98931649075134, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 36.77206574437573, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 4.311593363199884, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 2.239105792181533, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 10.26710811222152, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 2.2462003225914073, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 3.733421981565238, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 3.986810082759328, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 3.1324476905737684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 7.62721509099404, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 5.208367197849325, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 9.101093102250815, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 2.460480632578279, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 7.660143899014248, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 5.396941376010192, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 2.4438425477075434, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 1.8923827594576486, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 4.376828778785756, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 8.474406562255535, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 6.48682546616661, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 23.642848143650028, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 15.044831892317069, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 10.601009981766865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 7.1696313355177015, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 3.7887504069128526, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 5.348578837633874, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 3.485346488099358, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 3.048662772389907, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 4.505151348158321, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 3.123747605984477, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 12.874516976119011, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 5.416826389907358, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 6.208290239510349, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 9.846859075639882, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 5.063433455524471, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 24.40298562020977, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 10.654745935984337, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 3.3740488019538133, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 12.000357916926989, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 1.997123765679071, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 6.194152219871504, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 5.618752273746783, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 3.8062380452324462, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 3.450363591248048, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 3.9561329833655035, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 5.749325624914891, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 4.947874718824483, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 2.2972968914232204, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 2.2441432007241238, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 4.511360229404804, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 3.759549352127115, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 6.55006515889412, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 5.241030927659185, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 7.612817324289597, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 2.972557173606565, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 6.170594161143096, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 2.947377549387926, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 3.714538442502171, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 3.099545930338802, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 3.7145898085260156, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 5.268540066013047, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 5.415726167469124, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 16.671432449391926, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 7.2688717962491864, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 5.1312872080073095, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 2.444270838471595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 7.114163322947732, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 3.146772126951434, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 4.7234060942578235, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 2.5050088914506867, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 6.10032676396905, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 19.957697570154654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 16.212716882631934, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 17.441075196911687, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 2.6044302525102023, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 8.827888089426391, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 8.713589792090687, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 12.851056518474914, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 2.9081833429363164, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 11.470691943111678, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 4.2198674580960605, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 11.042679621243218, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 13.039427691606122, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 5.071683648149529, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 10.64130866462275, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 4.715761239611577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 8.13378343260871, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 4.526891023603182, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 16.485377625714808, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/t5-3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.511964753027673, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 15.117178657166447, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 6.32721666782246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 2.6165322393182042, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 3.0569015521044443, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 7.476307464192983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 5.265329779225821, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 3.2469969711414493, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 16.79643654961852, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 4.912605753504117, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 10.0793973004971, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 4.078045028610959, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 2.166476864676553, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 6.444820849955741, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 5.8504800565983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 14.752051675008097, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 38.195532310227655, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 4.447657881309055, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 1.9859069020480862, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 8.978788733694111, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 12.833343897638123, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 5.674416594307422, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 12.780355427563862, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 8.253211347466818, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 6.319796811072086, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 4.664771929020252, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 6.211267578574675, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 7.160269232902896, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 13.162044421571212, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 6.974738500551808, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 3.1470467300441283, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 3.7673947314513194, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 5.488868826778415, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 3.3101206825344827, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 8.041222603189633, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 3.2298063137038593, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 4.49671619906745, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 8.812488580290045, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 3.6789230257088494, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 2.6857066769084414, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 3.7764393876443463, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 8.714269155087843, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 3.83630110289961, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 4.151673001581882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 4.824157243581734, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 4.867487760869958, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 11.155114989170725, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 4.383960762848357, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 8.817820584478024, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 10.154671011803346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 3.005873401925055, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 8.572115136360303, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 2.21674494591346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 5.078752015194837, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 6.338326899512287, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 12.928469159515238, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 16.718596196500044, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 9.513571920571037, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 6.863355457899944, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 2.795714239904062, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 5.7143066568968175, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 17.008359328847245, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 3.706404574136571, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 6.263041279350369, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 7.750838396914528, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 6.277584982894061, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 2.465334744205784, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 18.058731591891277, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 7.422009512946378, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 31.764482118767326, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 4.680810769938058, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 4.419499814286298, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 5.2998017567617435, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 4.931768477974433, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 4.759429720018981, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 25.386079038704715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 5.1256162416977205, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 13.569958551469332, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 3.3389389317242486, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 3.0873305534121154, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 5.889624051052218, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 5.651896608992029, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 32.01430098474081, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 26.014135175507977, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 8.93895099030129, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 11.595696091679184, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 8.006917173238325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 6.702087004230364, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 4.641871503503225, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 6.0861110165160754, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 16.589309754823624, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 3.145022657795502, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/t5-3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 7.476539191562422, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 10.271000962267363, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 4.005563802404595, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 8.626664017866636, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 2.636638403083894, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 8.578271081504514, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 2.3487873668982475, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 4.298204917447524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 30.674878590801693, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 10.742562938978363, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 4.34922956233739, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 4.967909909746058, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 4.862879859001083, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 7.0223982160813945, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 6.10553585056687, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 5.5360806318902895, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 2.8445059979902876, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 3.7524104650037797, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 16.522613181901963, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 3.3050366553680335, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 5.873187047207498, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 4.203991040319756, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 3.727913998040346, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 4.396670183349773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 4.778270062622123, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 4.627807773544733, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 7.096092646163457, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 3.826190239756887, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 4.0979381473868415, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 5.3249069078011235, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 7.009885835375738, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 8.902012631347898, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 5.511212238642127, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 9.262472146621072, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 16.74035011174462, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 6.656329006767115, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 11.716840259709558, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 6.336973786847884, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 2.8628773694299037, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 5.326702363658304, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 4.032962947293621, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 9.58076801343904, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 28.034075530373705, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 3.904732554209573, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 5.40854212634131, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 13.35694196741318, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 3.297250727397967, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 2.5200399198377106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 7.718183987327487, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 4.747745519995607, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 9.471928224450176, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 2.963100301259194, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 5.816040824557331, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 5.165980141244573, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 4.079415689961999, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 9.243817188657298, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 28.934966946650842, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 8.157696440298745, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 5.821278486883862, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 4.866206738003624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 3.0315552894667626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 6.0665874317043675, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 10.152334955490787, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 3.724370244463749, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 4.210808759579727, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 2.148445676216114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 24.870732522079994, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 5.270400076722729, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 2.4639498790135943, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 6.069199445863225, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 8.178305797651335, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 2.6805268281476504, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 34.89555931984626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 9.795870939656732, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 3.871323079761619, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 6.390192175229577, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 2.3539772417488334, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 2.062132122539493, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 9.311023549423973, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 3.7182625478541342, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 2.9711716086328375, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 8.180107666802929, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 7.758498210836159, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 5.8065202449181506, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 3.5012483904970084, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 4.705884282627684, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 3.8311980343853933, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 5.583946808359757, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 2.7937299578727983, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 14.336051145578544, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 3.14094846334037, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 3.2562157715107656, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 3.692586731767112, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/t5-3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 6.170841325054129, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 3.04948277830027, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 11.82226115774296, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 38.997347588684136, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 8.008440698421888, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 7.048992325620613, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 14.007893881114933, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 4.705530875271738, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 6.016456372756462, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 16.688640193695196, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 11.479523359639975, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 17.97694852369003, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 6.04370617772745, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 7.830206495969152, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 14.215716310355543, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 4.983723637545601, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 11.23381721407537, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 14.292589172583412, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 3.856710176474986, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 7.57218220868382, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 5.2675679205082835, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 4.108879281880704, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 10.86381701004324, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 7.266117660465878, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 4.551195379745646, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 4.645148516580787, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 5.441890974031519, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 32.41025403931068, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 8.611494391091048, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 22.424607842725813, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 12.589509091549528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 11.854013497366289, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 4.501779899308148, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 4.868444686771995, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 4.477287336666599, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 18.511663685047136, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 4.290388923747052, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 2.5723490533623425, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 3.2727545175588575, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 5.112364468284605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 7.816739312755547, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 5.678897092503187, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 5.136139647260298, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 7.062453409333272, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 68.9421196751157, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 6.0359157617690045, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 5.502357908928184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 8.38437782505061, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 4.4375838025770475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 10.29060758316384, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 11.88863140823487, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 35.5583531753595, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 8.76584494078167, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 8.901885287946568, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 9.383795759824835, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 5.339019560409718, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 3.026905967828698, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 5.9557062831383245, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 5.884195826828201, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 8.848082909871923, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 5.917860391352434, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 10.907767031710726, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 6.536978288299597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 6.0305683725677355, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 7.414952385767295, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 6.816385088258876, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 6.808027991502219, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 4.801499960834815, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 5.100893045156304, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 5.067444813596318, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 5.740321398698788, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 5.7509172813528755, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 5.902295786393438, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 3.897122393160191, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 6.789410685230239, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 2.66429414861945, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 7.238896824486189, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 6.551934729359184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 17.35907193306809, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 4.647046033909495, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 8.404612005143571, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 6.978219002080631, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 8.191309992945795, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 4.118652441061996, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 8.399567911563391, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 8.348729846887066, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 8.407433851192812, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 5.020573778573861, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 11.676902588780386, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 13.841257933444112, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 3.467061729002188, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 2.2716010167946243, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 4.604923576652855, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 6.336474469840024, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 5.026338237018564, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 10.03283188496395, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 10.95977548390242, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 5.912903057419483, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 9.252747285319245, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 8.880919728449063, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 10.195530948400007, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 17.012001206456024, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 7.7662618783177, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 5.9571342150506945, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 6.182792758012147, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 3.1811003487071816, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 13.646098091068202, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 5.364102021103299, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/t5-3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.002638113192338, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 7.183356193607733, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 6.792614891234043, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 7.017258414151768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 10.887641262969762, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 6.5088349785211745, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 4.012814994136173, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 19.688877879605645, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 14.838937790907837, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 29.485173075119853, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 4.756040334876468, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 5.755462986936606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 13.567021189572264, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 11.368958984199892, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 12.15298774666244, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 11.0571008674409, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 11.784753858392945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 34.00401238498429, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 15.703447313738717, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 8.217429429262967, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 6.205244053560383, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 5.329661614972719, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 24.2908031821392, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 5.294885587413106, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 13.041796844276227, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 9.229454537080443, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 4.052626005750982, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 9.764408434556698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 7.042676060802348, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 5.616449947502907, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 3.84542225500828, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 3.722501559597497, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 11.241254776728073, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 12.163858223183999, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 11.376895594618487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 15.21048303179262, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 9.208966697667986, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 7.3887222665475205, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 15.05036042468368, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 12.491777992225185, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 5.624869603962532, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 6.221150691931869, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 9.122972116342085, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 5.419838940130071, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 8.114131630326087, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 4.913749618609928, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 16.852397497011374, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 6.296264506011256, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 8.916054915856535, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 12.180896572343691, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 23.78894942066442, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 2.684948642219537, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 8.141307302763995, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 3.6057024232358783, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 6.15246349300063, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 8.193704672472693, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 6.325614061933799, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 4.480615338452186, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 5.809010590382762, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 4.305753346769728, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 39.05809949306331, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 5.090690054829407, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 16.98028062719475, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 3.783097658602175, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 5.424671947140047, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 7.621029348022201, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 6.423131168514514, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 3.602695275174816, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 14.094553288627457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 5.457032457810312, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 6.940008137332847, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 7.310813916449777, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 5.147838842692144, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 3.8049383051544803, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 9.762052766174138, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 6.2230161432293905, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 11.200766868948952, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 3.7299192344813132, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 4.895033272251227, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 20.36966265049016, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 6.798806575664009, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 8.060505645698933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 4.562305586762526, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 10.223535739534308, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 3.459578233104964, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 10.271179726037253, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 20.348484731458992, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 17.46420221673146, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 10.391472694273936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 6.117327986561738, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 4.92434109730698, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 24.856037276010454, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 11.49001059529749, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_qa/flan-t5-xl/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.3930278653240127, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?", "output": "yes"}
2
+ {"perplexity": 7.841359625779403, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?", "output": "yes"}
3
+ {"perplexity": 5.317412280538532, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?", "output": "yes"}
4
+ {"perplexity": 1.5480215317930472, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?", "output": "yes"}
5
+ {"perplexity": 4.334789351496484, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?", "output": "yes"}
6
+ {"perplexity": 1.8375142299935816, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?", "output": "yes"}
7
+ {"perplexity": 1.989180613955433, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?", "output": "yes"}
8
+ {"perplexity": 9.66081803333536, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?", "output": "yes"}
9
+ {"perplexity": 4.210363537927879, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?", "output": "yes"}
10
+ {"perplexity": 1.9637542862307942, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?", "output": "yes"}
11
+ {"perplexity": 2.4351734506503884, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?", "output": "yes"}
12
+ {"perplexity": 1.839287079665987, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?", "output": "yes"}
13
+ {"perplexity": 2.030213155930074, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?", "output": "yes"}
14
+ {"perplexity": 2.1977807653024635, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?", "output": "yes"}
15
+ {"perplexity": 3.294810709956669, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?", "output": "yes"}
16
+ {"perplexity": 2.1891877681654535, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?", "output": "yes"}
17
+ {"perplexity": 2.2599810615220224, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?", "output": "yes"}
18
+ {"perplexity": 15.324887192807564, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?", "output": "yes"}
19
+ {"perplexity": 2.141577309976743, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?", "output": "yes"}
20
+ {"perplexity": 7.741803525373022, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?", "output": "yes"}
21
+ {"perplexity": 1.777938475167471, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?", "output": "yes"}
22
+ {"perplexity": 2.6434506241117752, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?", "output": "yes"}
23
+ {"perplexity": 4.2514907158911175, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?", "output": "yes"}
24
+ {"perplexity": 1.3972953283777845, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?", "output": "yes"}
25
+ {"perplexity": 2.098567158797333, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?", "output": "yes"}
26
+ {"perplexity": 1.3070981274781788, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?", "output": "yes"}
27
+ {"perplexity": 2.260546490674202, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?", "output": "yes"}
28
+ {"perplexity": 1.8148433968565818, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?", "output": "yes"}
29
+ {"perplexity": 1.5898309124958867, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?", "output": "yes"}
30
+ {"perplexity": 1.8287192894379185, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?", "output": "yes"}
31
+ {"perplexity": 1.6270075952662992, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?", "output": "yes"}
32
+ {"perplexity": 2.627041584583157, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?", "output": "yes"}
33
+ {"perplexity": 1.6666547628413801, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?", "output": "yes"}
34
+ {"perplexity": 4.034846549985906, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?", "output": "yes"}
35
+ {"perplexity": 11.980112644747198, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?", "output": "yes"}
36
+ {"perplexity": 7.078369947303353, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?", "output": "yes"}
37
+ {"perplexity": 1.6187619323199556, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?", "output": "yes"}
38
+ {"perplexity": 1.8131789439462787, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?", "output": "yes"}
39
+ {"perplexity": 3.455127029370126, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?", "output": "yes"}
40
+ {"perplexity": 4.203940423991166, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?", "output": "yes"}
41
+ {"perplexity": 2.3817968724104928, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?", "output": "yes"}
42
+ {"perplexity": 2.4466705083850155, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?", "output": "yes"}
43
+ {"perplexity": 1.7894290511020436, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?", "output": "yes"}
44
+ {"perplexity": 2.2802699882444224, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?", "output": "yes"}
45
+ {"perplexity": 2.405144173052492, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?", "output": "yes"}
46
+ {"perplexity": 1.9684540292392367, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?", "output": "yes"}
47
+ {"perplexity": 1.5870425926358382, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?", "output": "yes"}
48
+ {"perplexity": 1.5702454684685125, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?", "output": "yes"}
49
+ {"perplexity": 3.7867952486815697, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?", "output": "yes"}
50
+ {"perplexity": 6.636590751407244, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?", "output": "yes"}
51
+ {"perplexity": 3.6174917779880134, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?", "output": "yes"}
52
+ {"perplexity": 1.0495931481900598, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?", "output": "yes"}
53
+ {"perplexity": 3.0740758431776576, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?", "output": "yes"}
54
+ {"perplexity": 1.0926621647317478, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?", "output": "yes"}
55
+ {"perplexity": 2.366484431947545, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?", "output": "yes"}
56
+ {"perplexity": 3.7517529590024825, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?", "output": "yes"}
57
+ {"perplexity": 2.1294647142574346, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?", "output": "yes"}
58
+ {"perplexity": 6.212689387608481, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?", "output": "yes"}
59
+ {"perplexity": 1.4508167427131056, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?", "output": "yes"}
60
+ {"perplexity": 1.7387309043869998, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?", "output": "yes"}
61
+ {"perplexity": 1.9673706767906887, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?", "output": "yes"}
62
+ {"perplexity": 1.8544517801942033, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?", "output": "yes"}
63
+ {"perplexity": 4.680275682239488, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?", "output": "yes"}
64
+ {"perplexity": 1.7026189313801952, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?", "output": "yes"}
65
+ {"perplexity": 2.00119280989018, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?", "output": "yes"}
66
+ {"perplexity": 8.116068355717108, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?", "output": "yes"}
67
+ {"perplexity": 2.6625208948853962, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?", "output": "yes"}
68
+ {"perplexity": 1.0642993479043479, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?", "output": "yes"}
69
+ {"perplexity": 3.103175012889285, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?", "output": "yes"}
70
+ {"perplexity": 1.738686963092576, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?", "output": "yes"}
71
+ {"perplexity": 1.4297924764430685, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?", "output": "yes"}
72
+ {"perplexity": 1.9288941084810205, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?", "output": "yes"}
73
+ {"perplexity": 3.299398729468704, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?", "output": "yes"}
74
+ {"perplexity": 3.2974421545949846, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?", "output": "yes"}
75
+ {"perplexity": 1.5262180191055619, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?", "output": "yes"}
76
+ {"perplexity": 1.774370544757232, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?", "output": "yes"}
77
+ {"perplexity": 1.553294407614717, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?", "output": "yes"}
78
+ {"perplexity": 1.0798826778135284, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?", "output": "yes"}
79
+ {"perplexity": 1.5311108717878594, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?", "output": "yes"}
80
+ {"perplexity": 1.7974405436409473, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?", "output": "yes"}
81
+ {"perplexity": 1.471270231631786, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?", "output": "yes"}
82
+ {"perplexity": 15.119910899967866, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?", "output": "yes"}
83
+ {"perplexity": 4.453215748599322, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?", "output": "yes"}
84
+ {"perplexity": 1.9913770456395556, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?", "output": "yes"}
85
+ {"perplexity": 2.572104513283923, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?", "output": "yes"}
86
+ {"perplexity": 3.098115946442827, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?", "output": "yes"}
87
+ {"perplexity": 2.350553833628202, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?", "output": "yes"}
88
+ {"perplexity": 1.7506464176112055, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?", "output": "yes"}
89
+ {"perplexity": 3.2526349219919912, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?", "output": "yes"}
90
+ {"perplexity": 1.925130413854873, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?", "output": "yes"}
91
+ {"perplexity": 1.926681036623941, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?", "output": "yes"}
92
+ {"perplexity": 1.2410622918989729, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?", "output": "yes"}
93
+ {"perplexity": 4.405756862561434, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?", "output": "yes"}
experiments/results/lm_qa/lm.csv CHANGED
@@ -1,10 +1,16 @@
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
 
2
  Flan-T5 extsubscript{LARGE},0.7161401564757297,0.4571362263336,0.3097571107969417,0.5286213530232154,0.6074813663159394,0.5238272425890853
3
  Flan-T5 extsubscript{BASE},0.5034269487785833,0.36490001336083383,0.5049076045340413,0.2302182361504099,0.3121104596406103,0.3831126524928957
4
  Flan-T5 extsubscript{SMALL},0.41059965609373317,0.10640086698607491,0.2820643122067104,0.04446383513998588,0.17695351547539834,0.20409643718038054
 
5
  T5 extsubscript{LARGE},-0.030600997174729923,0.09892100336814785,-0.1485721634948909,-0.19286116899275968,0.037125937112284256,-0.04719747783638968
6
  T5 extsubscript{BASE},-0.013529311163722992,-0.11311653401145834,-0.007543745620287084,-0.1494091772458263,0.15490064904658374,-0.02573962379894219
7
  T5 extsubscript{SMALL},0.14713232588586322,-0.14745134657341868,0.21085105449290023,0.0024771071745011454,0.053006093385151415,0.05320304687299946
 
 
8
  OPT extsubscript{350M},0.4394508054523349,0.3818975981768043,0.4192647838399,0.2634802012739137,0.2726155768631501,0.35534179312122055
9
  OPT extsubscript{125M},0.44059460841507236,0.35041115473250656,0.5006310708424613,0.16778463509135502,0.18441905717732507,0.32876810525174405
 
 
10
  GPT-3 extsubscript{davinci},0.6817407091635507,0.38019166436920687,0.5366302137182614,0.6383443141688934,0.4213061506802032,0.5316426104200231
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-T5 extsubscript{XL},0.7861767483358856,0.5003943849660698,0.4883173453354119,0.6349030920632762,0.6740659274412318,0.6167714996283751
3
  Flan-T5 extsubscript{LARGE},0.7161401564757297,0.4571362263336,0.3097571107969417,0.5286213530232154,0.6074813663159394,0.5238272425890853
4
  Flan-T5 extsubscript{BASE},0.5034269487785833,0.36490001336083383,0.5049076045340413,0.2302182361504099,0.3121104596406103,0.3831126524928957
5
  Flan-T5 extsubscript{SMALL},0.41059965609373317,0.10640086698607491,0.2820643122067104,0.04446383513998588,0.17695351547539834,0.20409643718038054
6
+ T5 extsubscript{XL},-0.00413988385766918,0.16291281904680144,-0.08980720752317983,0.16149879665432612,-0.19343151292559696,0.007406602278936319
7
  T5 extsubscript{LARGE},-0.030600997174729923,0.09892100336814785,-0.1485721634948909,-0.19286116899275968,0.037125937112284256,-0.04719747783638968
8
  T5 extsubscript{BASE},-0.013529311163722992,-0.11311653401145834,-0.007543745620287084,-0.1494091772458263,0.15490064904658374,-0.02573962379894219
9
  T5 extsubscript{SMALL},0.14713232588586322,-0.14745134657341868,0.21085105449290023,0.0024771071745011454,0.053006093385151415,0.05320304687299946
10
+ OPT extsubscript{2.7B},0.5717222286656166,0.3371033272017468,0.5281967696551456,0.4209793528179663,0.3906219522536655,0.44972472611882824
11
+ OPT extsubscript{1.3B},0.4868332699758846,0.33257990090648853,0.48834725116542294,0.338356612359798,0.38402328025886945,0.40602806293329274
12
  OPT extsubscript{350M},0.4394508054523349,0.3818975981768043,0.4192647838399,0.2634802012739137,0.2726155768631501,0.35534179312122055
13
  OPT extsubscript{125M},0.44059460841507236,0.35041115473250656,0.5006310708424613,0.16778463509135502,0.18441905717732507,0.32876810525174405
14
+ OPT-IML extsubscript{1.3B},0.4877807485494955,0.2937602578367721,0.45971989538734637,0.2690262485509278,0.3385350396786613,0.3697644380006406
15
+ OPT-IML extsubscript{MAX-1.3B},0.4887452988091174,0.2824902878861287,0.42677862363017605,0.22738132064323313,0.3703999744304286,0.3591591010798168
16
  GPT-3 extsubscript{davinci},0.6817407091635507,0.38019166436920687,0.5366302137182614,0.6383443141688934,0.4213061506802032,0.5316426104200231
experiments/results/lm_qa/opt-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 28.741249314056493, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
2
+ {"perplexity": 39.48054239242481, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
3
+ {"perplexity": 29.213757615320972, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
4
+ {"perplexity": 29.014679880308893, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
5
+ {"perplexity": 32.91625403658906, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
6
+ {"perplexity": 29.512440260642947, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
7
+ {"perplexity": 31.66669577058689, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
8
+ {"perplexity": 25.549219923673682, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
9
+ {"perplexity": 30.820821051108716, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
10
+ {"perplexity": 35.28961116086522, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
11
+ {"perplexity": 32.08000279428409, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
12
+ {"perplexity": 28.581873200466013, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
13
+ {"perplexity": 28.30918018078627, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
14
+ {"perplexity": 31.32802556855101, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
15
+ {"perplexity": 29.409299674564302, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
16
+ {"perplexity": 28.493300220165402, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
17
+ {"perplexity": 26.720693406641182, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
18
+ {"perplexity": 29.187490099569903, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
19
+ {"perplexity": 32.22897265623557, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
20
+ {"perplexity": 31.789779244045242, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
21
+ {"perplexity": 33.451034796303816, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
22
+ {"perplexity": 34.472777489786544, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
23
+ {"perplexity": 29.261312208215582, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
24
+ {"perplexity": 29.369493037950694, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
25
+ {"perplexity": 29.231077992798173, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
26
+ {"perplexity": 29.533134275911006, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
27
+ {"perplexity": 29.202030736884925, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
28
+ {"perplexity": 30.340405963709003, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
29
+ {"perplexity": 28.343271837383806, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
30
+ {"perplexity": 30.45540797894256, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
31
+ {"perplexity": 28.97957336656837, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
32
+ {"perplexity": 31.552881770866236, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
33
+ {"perplexity": 24.316617481567466, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
34
+ {"perplexity": 37.73792438556477, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
35
+ {"perplexity": 35.03130145615558, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
36
+ {"perplexity": 28.392570535210137, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
37
+ {"perplexity": 33.61778288842063, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
38
+ {"perplexity": 26.755799947153367, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
39
+ {"perplexity": 24.821446776912293, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
40
+ {"perplexity": 29.734486087126083, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
41
+ {"perplexity": 28.527572796393585, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
42
+ {"perplexity": 27.141703115685292, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
43
+ {"perplexity": 33.15651737174891, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
44
+ {"perplexity": 28.07598779894456, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
45
+ {"perplexity": 31.07335141036418, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
46
+ {"perplexity": 30.126251614708742, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
47
+ {"perplexity": 28.13975866699597, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
48
+ {"perplexity": 28.41492484388294, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
49
+ {"perplexity": 29.48887098866366, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
50
+ {"perplexity": 29.878789505502702, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
51
+ {"perplexity": 27.70674200985246, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
52
+ {"perplexity": 30.212206768403977, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
53
+ {"perplexity": 31.30964183519261, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
54
+ {"perplexity": 27.37847806492086, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
55
+ {"perplexity": 27.797329813288076, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
56
+ {"perplexity": 33.32339423122521, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
57
+ {"perplexity": 29.61963569688816, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
58
+ {"perplexity": 30.25982827854502, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
59
+ {"perplexity": 30.834153671062193, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
60
+ {"perplexity": 31.670251986631595, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
61
+ {"perplexity": 31.82033081037215, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
62
+ {"perplexity": 29.916583025350302, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
63
+ {"perplexity": 32.6392902992037, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
64
+ {"perplexity": 31.385089753352574, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
65
+ {"perplexity": 31.730443497205567, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
66
+ {"perplexity": 27.72666566308995, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
67
+ {"perplexity": 27.945887525902027, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
68
+ {"perplexity": 29.720736114661626, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
69
+ {"perplexity": 30.916599772681707, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
70
+ {"perplexity": 30.134800190487603, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
71
+ {"perplexity": 29.846792928504396, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
72
+ {"perplexity": 36.26803086345703, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
73
+ {"perplexity": 30.327416990048523, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
74
+ {"perplexity": 35.51909734235764, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
75
+ {"perplexity": 26.607712681468147, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
76
+ {"perplexity": 30.2969913535546, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
77
+ {"perplexity": 40.00276718261922, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
78
+ {"perplexity": 31.663864673919736, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
79
+ {"perplexity": 28.364302413065154, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
80
+ {"perplexity": 30.370172832130752, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
81
+ {"perplexity": 27.896812366158606, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
82
+ {"perplexity": 34.27708295571732, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
83
+ {"perplexity": 36.46550130491908, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
84
+ {"perplexity": 31.150368784027044, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
85
+ {"perplexity": 31.689618096221338, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
86
+ {"perplexity": 31.172307925386463, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
87
+ {"perplexity": 31.168919091447428, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
88
+ {"perplexity": 30.29092433397192, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
89
+ {"perplexity": 38.420604937170616, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 24.54071549850149, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
2
+ {"perplexity": 27.51225936746021, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
3
+ {"perplexity": 27.05810919692414, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
4
+ {"perplexity": 24.94751517952691, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
5
+ {"perplexity": 25.3335431900948, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
6
+ {"perplexity": 27.674940126449577, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
7
+ {"perplexity": 27.19132989323243, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
8
+ {"perplexity": 23.396712476105304, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
9
+ {"perplexity": 29.76287791685872, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
10
+ {"perplexity": 23.082302983975005, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
11
+ {"perplexity": 31.49936491936604, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
12
+ {"perplexity": 28.466092336733894, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
13
+ {"perplexity": 22.025056319981687, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
14
+ {"perplexity": 27.35840671934719, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
15
+ {"perplexity": 28.700608796463822, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
16
+ {"perplexity": 31.70153519230669, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
17
+ {"perplexity": 33.2996950322667, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
18
+ {"perplexity": 28.34592092571252, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
19
+ {"perplexity": 26.050170392537893, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
20
+ {"perplexity": 26.361332795794013, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
21
+ {"perplexity": 29.497224636984665, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
22
+ {"perplexity": 28.541662188012722, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
23
+ {"perplexity": 26.715731084577854, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
24
+ {"perplexity": 26.395224598663766, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
25
+ {"perplexity": 25.002433491475887, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
26
+ {"perplexity": 23.943921517621657, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
27
+ {"perplexity": 26.639018572539147, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
28
+ {"perplexity": 26.626427046424812, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
29
+ {"perplexity": 30.571166599449274, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
30
+ {"perplexity": 31.150264808627274, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
31
+ {"perplexity": 27.448209015402735, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
32
+ {"perplexity": 27.62615634638177, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
33
+ {"perplexity": 27.831236371286604, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
34
+ {"perplexity": 26.851516606469808, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
35
+ {"perplexity": 27.024732165337227, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
36
+ {"perplexity": 26.25419021364663, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
37
+ {"perplexity": 26.98846842527226, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
38
+ {"perplexity": 25.667085609235524, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
39
+ {"perplexity": 22.536579007984546, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
40
+ {"perplexity": 26.753918184786784, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
41
+ {"perplexity": 25.784917160929414, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
42
+ {"perplexity": 30.22269637741857, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
43
+ {"perplexity": 28.604628886974755, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
44
+ {"perplexity": 28.28912122189523, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
45
+ {"perplexity": 26.53284749231549, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
46
+ {"perplexity": 27.91102277309157, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
47
+ {"perplexity": 29.388965697694125, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
48
+ {"perplexity": 27.582396810465106, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
49
+ {"perplexity": 29.738789575650554, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
50
+ {"perplexity": 28.494930666528976, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
51
+ {"perplexity": 29.395342646096413, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
52
+ {"perplexity": 29.610244896825794, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
53
+ {"perplexity": 27.91862991036897, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
54
+ {"perplexity": 29.370200271978558, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
55
+ {"perplexity": 27.13173947205739, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
56
+ {"perplexity": 31.573877346227786, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
57
+ {"perplexity": 27.269795439044564, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
58
+ {"perplexity": 27.654249249133542, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
59
+ {"perplexity": 24.43606078359838, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
60
+ {"perplexity": 24.367602187664, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
61
+ {"perplexity": 26.60084326215963, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
62
+ {"perplexity": 30.221853327854795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
63
+ {"perplexity": 28.36084018512767, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
64
+ {"perplexity": 28.22849789299999, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
65
+ {"perplexity": 29.188283418101488, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
66
+ {"perplexity": 28.920159370293693, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
67
+ {"perplexity": 25.8940213939596, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
68
+ {"perplexity": 27.1083651570225, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
69
+ {"perplexity": 32.328017433457205, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
70
+ {"perplexity": 33.464611593382955, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
71
+ {"perplexity": 26.17053428807048, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
72
+ {"perplexity": 29.379248768172406, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
73
+ {"perplexity": 29.275052044323854, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
74
+ {"perplexity": 25.727396813756666, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
75
+ {"perplexity": 27.850107446727687, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
76
+ {"perplexity": 26.361207095463538, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
77
+ {"perplexity": 29.8569563493181, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
78
+ {"perplexity": 30.89002367363985, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
79
+ {"perplexity": 29.497991209761334, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
80
+ {"perplexity": 28.13702821967445, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
81
+ {"perplexity": 29.0214392005782, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
82
+ {"perplexity": 23.55599695800849, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
83
+ {"perplexity": 27.300643583847926, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
84
+ {"perplexity": 30.06354771126926, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
85
+ {"perplexity": 30.923971743242614, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
86
+ {"perplexity": 31.459841897245443, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
87
+ {"perplexity": 28.176467627739687, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
88
+ {"perplexity": 29.409446921125173, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
89
+ {"perplexity": 27.27574507566759, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
90
+ {"perplexity": 24.626112260406185, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
91
+ {"perplexity": 24.50022517187007, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
92
+ {"perplexity": 27.513158024565424, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-1.3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 28.26117171043793, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
2
+ {"perplexity": 27.154939713746202, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
3
+ {"perplexity": 22.407308082783775, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
4
+ {"perplexity": 27.417462139032235, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
5
+ {"perplexity": 21.74488084687534, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
6
+ {"perplexity": 25.6689215279165, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
7
+ {"perplexity": 24.512518368816114, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
8
+ {"perplexity": 25.31765696639213, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
9
+ {"perplexity": 29.966639131913965, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
10
+ {"perplexity": 26.05792889258059, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
11
+ {"perplexity": 24.097179787732824, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
12
+ {"perplexity": 23.796181972484586, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
13
+ {"perplexity": 23.866693773309233, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
14
+ {"perplexity": 27.208437210786162, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
15
+ {"perplexity": 26.460646923053034, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
16
+ {"perplexity": 26.182005078673193, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
17
+ {"perplexity": 24.32848212845865, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
18
+ {"perplexity": 24.395603536177823, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
19
+ {"perplexity": 26.346717865319757, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
20
+ {"perplexity": 22.994396789229064, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
21
+ {"perplexity": 25.63981932612046, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
22
+ {"perplexity": 26.199645449655886, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
23
+ {"perplexity": 24.48346634976492, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
24
+ {"perplexity": 24.72490702585399, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
25
+ {"perplexity": 26.513718471733565, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
26
+ {"perplexity": 25.71749862084947, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
27
+ {"perplexity": 25.920847293394086, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
28
+ {"perplexity": 24.967317816089995, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
29
+ {"perplexity": 20.44069118876804, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
30
+ {"perplexity": 26.488476649311973, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
31
+ {"perplexity": 25.325976216248357, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
32
+ {"perplexity": 22.028180995274493, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
33
+ {"perplexity": 24.59493180791735, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
34
+ {"perplexity": 27.548990456612188, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
35
+ {"perplexity": 29.421755132224945, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
36
+ {"perplexity": 26.304119480094045, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
37
+ {"perplexity": 28.429778749017096, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
38
+ {"perplexity": 24.43883412214873, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
39
+ {"perplexity": 23.29124936658632, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
40
+ {"perplexity": 25.081488402498334, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
41
+ {"perplexity": 24.1860263196335, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
42
+ {"perplexity": 27.463055190618544, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
43
+ {"perplexity": 32.07444283941924, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
44
+ {"perplexity": 24.608938761126385, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
45
+ {"perplexity": 27.530205269265046, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
46
+ {"perplexity": 24.34101994064927, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
47
+ {"perplexity": 24.205963203837754, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
48
+ {"perplexity": 21.408987817925258, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
49
+ {"perplexity": 25.29392771977753, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
50
+ {"perplexity": 24.32515294839796, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
51
+ {"perplexity": 25.74748086895464, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
52
+ {"perplexity": 24.95452284997859, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
53
+ {"perplexity": 27.285807140830492, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
54
+ {"perplexity": 25.445481213453775, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
55
+ {"perplexity": 26.099556095550742, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
56
+ {"perplexity": 24.519865679154968, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
57
+ {"perplexity": 32.11017488623954, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
58
+ {"perplexity": 28.80587878128753, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
59
+ {"perplexity": 26.33359270238351, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
60
+ {"perplexity": 24.337282869260548, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
61
+ {"perplexity": 26.81810029081514, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
62
+ {"perplexity": 27.04833101173974, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
63
+ {"perplexity": 24.76219663612589, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
64
+ {"perplexity": 26.64130511596996, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
65
+ {"perplexity": 25.28838625850528, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
66
+ {"perplexity": 21.53581081451523, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
67
+ {"perplexity": 25.64556008442808, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
68
+ {"perplexity": 26.454616483724138, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
69
+ {"perplexity": 21.8940680422668, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
70
+ {"perplexity": 24.79688192631146, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
71
+ {"perplexity": 26.13747937079506, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
72
+ {"perplexity": 23.712577686036756, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
73
+ {"perplexity": 28.52130249948485, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
74
+ {"perplexity": 27.024068524066738, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
75
+ {"perplexity": 24.564358918273008, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
76
+ {"perplexity": 27.691770702901124, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
77
+ {"perplexity": 23.950887115027072, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
78
+ {"perplexity": 23.250209532296044, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
79
+ {"perplexity": 27.481414534970913, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
80
+ {"perplexity": 23.333346290360303, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
81
+ {"perplexity": 27.675949672507553, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
82
+ {"perplexity": 29.189779647697197, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
83
+ {"perplexity": 25.777239947528507, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
84
+ {"perplexity": 24.330744374867425, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
85
+ {"perplexity": 24.88024549106848, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
86
+ {"perplexity": 25.55169315531043, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
87
+ {"perplexity": 24.879705692861485, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
88
+ {"perplexity": 26.577514440048706, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
89
+ {"perplexity": 24.395964153481277, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
90
+ {"perplexity": 27.613730248482533, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
91
+ {"perplexity": 22.300226898974724, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
92
+ {"perplexity": 25.29713014045184, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
93
+ {"perplexity": 24.731580927414686, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-1.3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.96957804877474, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
2
+ {"perplexity": 15.371469930517433, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
3
+ {"perplexity": 18.797863851297098, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
4
+ {"perplexity": 21.52608819601404, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
5
+ {"perplexity": 18.408029597671597, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
6
+ {"perplexity": 18.706091514905257, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
7
+ {"perplexity": 17.492155268779175, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
8
+ {"perplexity": 14.979901234626098, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
9
+ {"perplexity": 18.987115802205693, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
10
+ {"perplexity": 21.319792734610992, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
11
+ {"perplexity": 21.830862307046505, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
12
+ {"perplexity": 19.346265048812633, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
13
+ {"perplexity": 16.34072019234369, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
14
+ {"perplexity": 17.874607464503267, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
15
+ {"perplexity": 19.35409406031398, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
16
+ {"perplexity": 17.66313589092379, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
17
+ {"perplexity": 19.73359383933794, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
18
+ {"perplexity": 21.139950249882354, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
19
+ {"perplexity": 16.220542366364885, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
20
+ {"perplexity": 17.981560892740994, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
21
+ {"perplexity": 17.224450712891354, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
22
+ {"perplexity": 17.93348072539634, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
23
+ {"perplexity": 19.426073405881752, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
24
+ {"perplexity": 19.116220294560293, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
25
+ {"perplexity": 15.440880732112946, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
26
+ {"perplexity": 17.582746118139145, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
27
+ {"perplexity": 17.08392740179683, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
28
+ {"perplexity": 18.551627089599947, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
29
+ {"perplexity": 21.4260889465586, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
30
+ {"perplexity": 19.257213969369726, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
31
+ {"perplexity": 19.485786767479524, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
32
+ {"perplexity": 18.143853996257015, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
33
+ {"perplexity": 17.904737043792718, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
34
+ {"perplexity": 17.194760762846492, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
35
+ {"perplexity": 17.33831622806615, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
36
+ {"perplexity": 18.289040035173354, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
37
+ {"perplexity": 17.07433381233545, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
38
+ {"perplexity": 15.415647018345227, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
39
+ {"perplexity": 17.221251945909504, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
40
+ {"perplexity": 17.36345953625107, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
41
+ {"perplexity": 15.731732420469159, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
42
+ {"perplexity": 17.446315412193755, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
43
+ {"perplexity": 19.71435095931392, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
44
+ {"perplexity": 18.08727831452308, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
45
+ {"perplexity": 22.278114712515137, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
46
+ {"perplexity": 17.464718534358035, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
47
+ {"perplexity": 17.614752196279944, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
48
+ {"perplexity": 17.602518566710472, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
49
+ {"perplexity": 18.210420586748942, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
50
+ {"perplexity": 18.924485804817408, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
51
+ {"perplexity": 17.669133685956552, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
52
+ {"perplexity": 19.691995071347684, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
53
+ {"perplexity": 19.04721906645946, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
54
+ {"perplexity": 17.27670453644345, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
55
+ {"perplexity": 19.485150306891697, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
56
+ {"perplexity": 18.494176738402366, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
57
+ {"perplexity": 15.217719543856832, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
58
+ {"perplexity": 17.302327765642957, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
59
+ {"perplexity": 19.23688993344582, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
60
+ {"perplexity": 18.272068334294648, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
61
+ {"perplexity": 18.60556929546924, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
62
+ {"perplexity": 18.114047569151218, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
63
+ {"perplexity": 17.300199295229167, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
64
+ {"perplexity": 17.570949447070294, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
65
+ {"perplexity": 17.76660846218991, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
66
+ {"perplexity": 17.536752481169554, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
67
+ {"perplexity": 18.091966439039922, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
68
+ {"perplexity": 17.56291632007627, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
69
+ {"perplexity": 17.47898576207506, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
70
+ {"perplexity": 17.11398496831764, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
71
+ {"perplexity": 18.588122161791127, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
72
+ {"perplexity": 17.83099600581674, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
73
+ {"perplexity": 18.541585056079622, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
74
+ {"perplexity": 17.648272331311894, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
75
+ {"perplexity": 19.10996820480315, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
76
+ {"perplexity": 16.579669780011464, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
77
+ {"perplexity": 17.043118695961436, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
78
+ {"perplexity": 18.58154217248184, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
79
+ {"perplexity": 19.40480777393113, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
80
+ {"perplexity": 16.668304591590694, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
81
+ {"perplexity": 19.076682501233936, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
82
+ {"perplexity": 16.923362416638703, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
83
+ {"perplexity": 18.339944837344415, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
84
+ {"perplexity": 18.49328166092901, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
85
+ {"perplexity": 18.01278547646513, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
86
+ {"perplexity": 17.547752189853224, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
87
+ {"perplexity": 16.460732678234056, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
88
+ {"perplexity": 16.903260667191923, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
89
+ {"perplexity": 19.33960112125006, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
90
+ {"perplexity": 18.808461718224834, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
91
+ {"perplexity": 15.455675970940352, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
92
+ {"perplexity": 14.359356772824702, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
93
+ {"perplexity": 17.767375174740707, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
94
+ {"perplexity": 17.818624937529787, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
95
+ {"perplexity": 16.08454660013343, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
96
+ {"perplexity": 17.504216209752798, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
97
+ {"perplexity": 17.350366238823913, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
98
+ {"perplexity": 18.635842390880754, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
99
+ {"perplexity": 17.364250250582717, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
100
+ {"perplexity": 21.55993096490577, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
101
+ {"perplexity": 18.065359029344826, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
102
+ {"perplexity": 19.264543042733205, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
103
+ {"perplexity": 17.172490041741977, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
104
+ {"perplexity": 18.619014969103826, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
105
+ {"perplexity": 16.76485010763371, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
106
+ {"perplexity": 16.537983588781856, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
107
+ {"perplexity": 18.417525055433998, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
108
+ {"perplexity": 16.87271632757852, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-1.3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.11247532687284, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
2
+ {"perplexity": 15.015397372993831, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
3
+ {"perplexity": 16.709661918857066, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
4
+ {"perplexity": 16.747979052794953, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
5
+ {"perplexity": 16.297621896989913, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
6
+ {"perplexity": 14.87010734971261, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
7
+ {"perplexity": 14.458476634951067, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
8
+ {"perplexity": 17.99706986881614, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
9
+ {"perplexity": 18.857763690470943, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
10
+ {"perplexity": 17.291506635545087, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
11
+ {"perplexity": 14.488028353495661, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
12
+ {"perplexity": 15.590650976339893, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
13
+ {"perplexity": 16.279218172716856, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
14
+ {"perplexity": 15.495716502545685, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
15
+ {"perplexity": 16.52492177177186, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
16
+ {"perplexity": 16.2021638759562, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
17
+ {"perplexity": 16.28614382771622, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
18
+ {"perplexity": 18.53125685510695, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
19
+ {"perplexity": 17.226988796632824, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
20
+ {"perplexity": 17.07481824897798, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
21
+ {"perplexity": 15.256125119037863, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
22
+ {"perplexity": 15.204939182318384, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
23
+ {"perplexity": 18.22949933183496, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
24
+ {"perplexity": 14.66050728264693, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
25
+ {"perplexity": 15.355162701042374, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
26
+ {"perplexity": 18.127872763920166, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
27
+ {"perplexity": 15.401202209112492, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
28
+ {"perplexity": 16.178952918674785, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
29
+ {"perplexity": 15.284686782608235, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
30
+ {"perplexity": 15.11231014512979, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
31
+ {"perplexity": 13.910725350194483, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
32
+ {"perplexity": 16.561129188612547, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
33
+ {"perplexity": 16.130723050027363, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
34
+ {"perplexity": 17.79498614580289, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
35
+ {"perplexity": 17.363612708466658, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
36
+ {"perplexity": 20.89056912591095, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
37
+ {"perplexity": 15.706465262540066, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
38
+ {"perplexity": 15.873742338890818, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
39
+ {"perplexity": 16.757273410152145, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
40
+ {"perplexity": 17.560006369913655, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
41
+ {"perplexity": 15.04832959209219, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
42
+ {"perplexity": 15.604380554474341, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
43
+ {"perplexity": 15.52957998762665, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
44
+ {"perplexity": 16.160008936505275, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
45
+ {"perplexity": 14.978790543419798, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
46
+ {"perplexity": 15.590026515902833, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
47
+ {"perplexity": 17.41846883683862, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
48
+ {"perplexity": 15.095644400413535, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
49
+ {"perplexity": 16.169192878090314, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
50
+ {"perplexity": 16.981624753965328, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
51
+ {"perplexity": 17.81668357419826, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
52
+ {"perplexity": 13.076999219866622, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
53
+ {"perplexity": 16.55884317596675, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
54
+ {"perplexity": 14.970875236435848, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
55
+ {"perplexity": 16.502857604738217, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
56
+ {"perplexity": 16.067846813290956, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
57
+ {"perplexity": 16.15283267759112, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
58
+ {"perplexity": 15.635424433107943, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
59
+ {"perplexity": 15.5526899102301, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
60
+ {"perplexity": 14.469135762886827, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
61
+ {"perplexity": 16.0981737735495, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
62
+ {"perplexity": 16.08908770907178, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
63
+ {"perplexity": 17.79693787426998, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
64
+ {"perplexity": 15.411641378295862, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
65
+ {"perplexity": 15.509972614465207, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
66
+ {"perplexity": 14.923787822607624, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
67
+ {"perplexity": 14.659853669139531, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
68
+ {"perplexity": 14.126927574231976, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
69
+ {"perplexity": 13.37820614743068, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
70
+ {"perplexity": 14.612723669987696, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
71
+ {"perplexity": 16.109907292553327, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
72
+ {"perplexity": 16.503195982763323, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
73
+ {"perplexity": 15.854996962580167, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
74
+ {"perplexity": 16.091163085064498, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
75
+ {"perplexity": 16.04528732924174, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
76
+ {"perplexity": 15.720487979798936, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
77
+ {"perplexity": 14.98333382663277, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
78
+ {"perplexity": 13.339133146905745, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
79
+ {"perplexity": 16.048011312598472, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
80
+ {"perplexity": 16.880787932337583, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
81
+ {"perplexity": 15.491741766223004, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
82
+ {"perplexity": 15.85434679426554, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
83
+ {"perplexity": 15.900802524994287, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
84
+ {"perplexity": 17.04665015303081, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
85
+ {"perplexity": 14.320046844849928, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
86
+ {"perplexity": 17.051007573103774, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
87
+ {"perplexity": 16.208052000476055, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
88
+ {"perplexity": 16.89286230424103, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
89
+ {"perplexity": 15.994221899118262, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
90
+ {"perplexity": 16.168676311519196, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
91
+ {"perplexity": 15.10974138489102, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
92
+ {"perplexity": 18.660611519941305, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
93
+ {"perplexity": 16.29795218108431, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-2.7b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 23.158472290591234, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
2
+ {"perplexity": 32.555836061683834, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
3
+ {"perplexity": 22.889557438026078, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
4
+ {"perplexity": 23.758132216348628, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
5
+ {"perplexity": 25.548476782618845, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
6
+ {"perplexity": 23.695662739293276, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
7
+ {"perplexity": 26.64219438030664, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
8
+ {"perplexity": 20.53225806146365, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
9
+ {"perplexity": 24.847558414589905, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
10
+ {"perplexity": 28.40406038923168, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
11
+ {"perplexity": 24.60356496690025, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
12
+ {"perplexity": 23.59530371417351, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
13
+ {"perplexity": 22.822351464603365, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
14
+ {"perplexity": 25.358047182050136, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
15
+ {"perplexity": 24.168404863298605, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
16
+ {"perplexity": 23.311810336030636, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
17
+ {"perplexity": 21.904933458823876, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
18
+ {"perplexity": 24.64329774431809, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
19
+ {"perplexity": 27.708400115782474, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
20
+ {"perplexity": 26.410023852110513, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
21
+ {"perplexity": 27.032561785184832, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
22
+ {"perplexity": 28.38589677378168, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
23
+ {"perplexity": 26.76545961727989, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
24
+ {"perplexity": 24.007440425914904, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
25
+ {"perplexity": 25.273962447406806, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
26
+ {"perplexity": 24.695126371115702, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
27
+ {"perplexity": 23.465044743872447, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
28
+ {"perplexity": 25.01127528374237, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
29
+ {"perplexity": 23.302085919624005, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
30
+ {"perplexity": 25.354976086608676, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
31
+ {"perplexity": 24.449755745365312, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
32
+ {"perplexity": 25.364353766398413, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
33
+ {"perplexity": 20.005585220446406, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
34
+ {"perplexity": 29.48910300250215, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
35
+ {"perplexity": 29.19838271606794, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
36
+ {"perplexity": 24.403549984875934, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
37
+ {"perplexity": 27.880734596781245, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
38
+ {"perplexity": 22.190260634012123, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
39
+ {"perplexity": 20.27815853459567, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
40
+ {"perplexity": 24.239626631393246, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
41
+ {"perplexity": 24.526595338745373, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
42
+ {"perplexity": 21.775303333951527, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
43
+ {"perplexity": 25.83250658722714, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
44
+ {"perplexity": 23.021742258960476, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
45
+ {"perplexity": 25.188829282162324, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
46
+ {"perplexity": 24.217779633884472, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
47
+ {"perplexity": 22.571590684998426, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
48
+ {"perplexity": 24.120326880127127, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
49
+ {"perplexity": 23.59492117927706, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
50
+ {"perplexity": 23.749059612123467, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
51
+ {"perplexity": 22.30076390106978, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
52
+ {"perplexity": 25.358246695211072, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
53
+ {"perplexity": 25.35949217648824, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
54
+ {"perplexity": 22.052531877169596, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
55
+ {"perplexity": 22.678363576558606, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
56
+ {"perplexity": 27.32427489631334, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
57
+ {"perplexity": 24.03748063975622, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
58
+ {"perplexity": 24.116945685509123, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
59
+ {"perplexity": 26.05018902507839, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
60
+ {"perplexity": 25.813802473258995, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
61
+ {"perplexity": 25.53231576771563, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
62
+ {"perplexity": 23.497851441584505, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
63
+ {"perplexity": 27.69701997530214, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
64
+ {"perplexity": 25.887089351477734, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
65
+ {"perplexity": 26.422185463952115, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
66
+ {"perplexity": 22.62696942821579, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
67
+ {"perplexity": 22.669406041139233, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
68
+ {"perplexity": 24.40522570120361, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
69
+ {"perplexity": 24.71973186535204, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
70
+ {"perplexity": 23.983086485961284, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
71
+ {"perplexity": 24.147577738909387, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
72
+ {"perplexity": 29.569292076370722, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
73
+ {"perplexity": 24.320090452053478, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
74
+ {"perplexity": 28.667543121704824, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
75
+ {"perplexity": 21.404705738136364, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
76
+ {"perplexity": 23.73474418146373, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
77
+ {"perplexity": 34.80465985649195, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
78
+ {"perplexity": 24.493076452945168, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
79
+ {"perplexity": 23.19056285354306, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
80
+ {"perplexity": 25.744804544537043, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
81
+ {"perplexity": 23.360381933537365, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
82
+ {"perplexity": 27.879803992394706, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
83
+ {"perplexity": 27.656530620467624, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
84
+ {"perplexity": 25.081865138575765, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
85
+ {"perplexity": 27.622902763049645, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
86
+ {"perplexity": 25.27308269851515, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
87
+ {"perplexity": 24.301345778684542, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
88
+ {"perplexity": 23.697255947971612, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
89
+ {"perplexity": 29.14091698664849, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-2.7b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 21.27137090435994, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
2
+ {"perplexity": 23.525969510492217, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
3
+ {"perplexity": 23.457940801098292, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
4
+ {"perplexity": 21.266122559758315, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
5
+ {"perplexity": 21.942777323651104, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
6
+ {"perplexity": 23.782949489712788, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
7
+ {"perplexity": 24.28225082160189, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
8
+ {"perplexity": 20.0654867999258, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
9
+ {"perplexity": 26.515545408605018, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
10
+ {"perplexity": 19.636050003307748, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
11
+ {"perplexity": 27.559015339872655, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
12
+ {"perplexity": 24.717085761124366, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
13
+ {"perplexity": 17.976065621435875, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
14
+ {"perplexity": 23.526238745387477, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
15
+ {"perplexity": 24.910724516796595, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
16
+ {"perplexity": 27.975646182273763, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
17
+ {"perplexity": 29.013275633624936, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
18
+ {"perplexity": 25.043049237451257, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
19
+ {"perplexity": 22.48257927960945, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
20
+ {"perplexity": 22.676633420729168, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
21
+ {"perplexity": 24.930658435617147, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
22
+ {"perplexity": 24.18549581683299, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
23
+ {"perplexity": 23.45563667699267, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
24
+ {"perplexity": 22.820240348478873, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
25
+ {"perplexity": 21.70203271291227, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
26
+ {"perplexity": 20.936816231640822, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
27
+ {"perplexity": 24.061075202932457, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
28
+ {"perplexity": 24.96791309042996, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
29
+ {"perplexity": 26.725771344754236, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
30
+ {"perplexity": 26.36941658552088, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
31
+ {"perplexity": 24.08491687424918, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
32
+ {"perplexity": 23.911005104902703, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
33
+ {"perplexity": 24.315052197934126, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
34
+ {"perplexity": 22.973310605961235, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
35
+ {"perplexity": 23.812737187794802, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
36
+ {"perplexity": 22.10946236446616, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
37
+ {"perplexity": 24.049277894685577, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
38
+ {"perplexity": 22.41657892281418, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
39
+ {"perplexity": 18.971834677036462, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
40
+ {"perplexity": 22.70942609131689, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
41
+ {"perplexity": 21.91261716705175, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
42
+ {"perplexity": 25.70582070937237, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
43
+ {"perplexity": 25.147269616749956, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
44
+ {"perplexity": 24.11810144871467, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
45
+ {"perplexity": 23.123222855510544, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
46
+ {"perplexity": 24.520765978379156, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
47
+ {"perplexity": 25.099913236523577, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
48
+ {"perplexity": 23.495840293212513, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
49
+ {"perplexity": 24.75501279305532, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
50
+ {"perplexity": 24.5014577190445, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
51
+ {"perplexity": 24.679781705920625, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
52
+ {"perplexity": 25.811722339418285, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
53
+ {"perplexity": 23.430903977222783, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
54
+ {"perplexity": 25.223564913191517, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
55
+ {"perplexity": 23.319559432049708, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
56
+ {"perplexity": 27.954497213768306, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
57
+ {"perplexity": 23.859399970606404, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
58
+ {"perplexity": 24.986617883222195, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
59
+ {"perplexity": 20.815540441710596, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
60
+ {"perplexity": 21.2622239035881, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
61
+ {"perplexity": 22.96457603065358, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
62
+ {"perplexity": 26.248106697481706, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
63
+ {"perplexity": 24.369165044145177, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
64
+ {"perplexity": 24.441415474209887, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
65
+ {"perplexity": 25.45229500214776, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
66
+ {"perplexity": 24.93991485595808, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
67
+ {"perplexity": 22.09478138061928, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
68
+ {"perplexity": 24.06218239362661, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
69
+ {"perplexity": 27.19165404107635, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
70
+ {"perplexity": 28.191089338660948, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
71
+ {"perplexity": 23.210459416462186, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
72
+ {"perplexity": 25.151652764963337, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
73
+ {"perplexity": 24.504863610139772, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
74
+ {"perplexity": 22.584956872131, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
75
+ {"perplexity": 24.244088566916687, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
76
+ {"perplexity": 22.868741867897306, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
77
+ {"perplexity": 26.157771299132577, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
78
+ {"perplexity": 27.867582722486006, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
79
+ {"perplexity": 25.29157591761865, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
80
+ {"perplexity": 24.122518009321656, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
81
+ {"perplexity": 25.083384100160657, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
82
+ {"perplexity": 21.259927630520362, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
83
+ {"perplexity": 23.32500312742067, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
84
+ {"perplexity": 27.12090007859938, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
85
+ {"perplexity": 25.99407242475765, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
86
+ {"perplexity": 27.820760914252965, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
87
+ {"perplexity": 24.312924733219795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
88
+ {"perplexity": 25.40215960383864, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
89
+ {"perplexity": 23.609473123986035, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
90
+ {"perplexity": 21.231571629435667, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
91
+ {"perplexity": 20.770001940015785, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
92
+ {"perplexity": 24.084302456878845, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-2.7b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 28.16574135388631, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
2
+ {"perplexity": 26.431768801683123, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
3
+ {"perplexity": 22.839639490977408, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
4
+ {"perplexity": 26.779974816335496, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
5
+ {"perplexity": 21.794011642040108, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
6
+ {"perplexity": 25.36780098054422, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
7
+ {"perplexity": 23.730596640568503, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
8
+ {"perplexity": 25.22324618558043, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
9
+ {"perplexity": 30.635754605636013, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
10
+ {"perplexity": 25.86547182401524, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
11
+ {"perplexity": 24.229896450203118, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
12
+ {"perplexity": 24.27234149446549, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
13
+ {"perplexity": 23.570333829210327, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
14
+ {"perplexity": 26.953358627065636, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
15
+ {"perplexity": 25.664619565147, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
16
+ {"perplexity": 27.27909434914282, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
17
+ {"perplexity": 23.804568811985423, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
18
+ {"perplexity": 25.092033169547783, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
19
+ {"perplexity": 25.462516071089777, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
20
+ {"perplexity": 23.399925746241863, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
21
+ {"perplexity": 25.151101081852897, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
22
+ {"perplexity": 26.201044699041546, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
23
+ {"perplexity": 24.146506917654577, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
24
+ {"perplexity": 25.215165080328955, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
25
+ {"perplexity": 26.419501996225563, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
26
+ {"perplexity": 26.65277890450006, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
27
+ {"perplexity": 26.88154549432632, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
28
+ {"perplexity": 25.13283042044231, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
29
+ {"perplexity": 20.920065711747302, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
30
+ {"perplexity": 26.46830680528589, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
31
+ {"perplexity": 25.588789868450213, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
32
+ {"perplexity": 22.54554318640714, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
33
+ {"perplexity": 24.04102264755749, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
34
+ {"perplexity": 28.06709979038631, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
35
+ {"perplexity": 29.86600527419844, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
36
+ {"perplexity": 26.482395670224665, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
37
+ {"perplexity": 27.737608285774712, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
38
+ {"perplexity": 24.671998244786973, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
39
+ {"perplexity": 24.16126079541746, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
40
+ {"perplexity": 25.452410300109083, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
41
+ {"perplexity": 24.444428367556934, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
42
+ {"perplexity": 27.92503402467137, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
43
+ {"perplexity": 31.26562302098557, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
44
+ {"perplexity": 24.512424861157672, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
45
+ {"perplexity": 27.05356796426289, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
46
+ {"perplexity": 25.240054034463224, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
47
+ {"perplexity": 23.743658471331543, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
48
+ {"perplexity": 21.952955078767655, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
49
+ {"perplexity": 26.01283273495301, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
50
+ {"perplexity": 25.182452264578853, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
51
+ {"perplexity": 27.134475874696808, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
52
+ {"perplexity": 24.576930396707734, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
53
+ {"perplexity": 26.89067995626924, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
54
+ {"perplexity": 26.868230766449507, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
55
+ {"perplexity": 26.286791066191586, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
56
+ {"perplexity": 25.206834152205914, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
57
+ {"perplexity": 35.144337183805106, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
58
+ {"perplexity": 27.965856462090915, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
59
+ {"perplexity": 26.40233677317345, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
60
+ {"perplexity": 24.626200330404075, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
61
+ {"perplexity": 26.96165610424762, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
62
+ {"perplexity": 26.855582120989833, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
63
+ {"perplexity": 25.408646779463112, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
64
+ {"perplexity": 26.811668765178027, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
65
+ {"perplexity": 25.594867029527574, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
66
+ {"perplexity": 21.487303071786958, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
67
+ {"perplexity": 27.300357190201442, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
68
+ {"perplexity": 26.306126401704162, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
69
+ {"perplexity": 22.850892447019138, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
70
+ {"perplexity": 24.06500509987533, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
71
+ {"perplexity": 27.74694102588373, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
72
+ {"perplexity": 23.367974462501326, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
73
+ {"perplexity": 27.538575274712063, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
74
+ {"perplexity": 26.979590203732265, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
75
+ {"perplexity": 24.865070356015806, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
76
+ {"perplexity": 27.417658244704537, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
77
+ {"perplexity": 23.464848937097496, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
78
+ {"perplexity": 22.82961127669418, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
79
+ {"perplexity": 26.552281518068973, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
80
+ {"perplexity": 23.01670956937021, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
81
+ {"perplexity": 26.662986213952845, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
82
+ {"perplexity": 29.465847425313743, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
83
+ {"perplexity": 25.915434168547197, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
84
+ {"perplexity": 24.53556134184792, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
85
+ {"perplexity": 25.395213923807688, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
86
+ {"perplexity": 25.911288578374307, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
87
+ {"perplexity": 25.17394608384171, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
88
+ {"perplexity": 26.68557566866118, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
89
+ {"perplexity": 24.74772482817241, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
90
+ {"perplexity": 27.28284732464199, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
91
+ {"perplexity": 22.307905663172967, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
92
+ {"perplexity": 24.235645105238795, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
93
+ {"perplexity": 25.671467552458346, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-2.7b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.666774658912658, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
2
+ {"perplexity": 14.451074010650402, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
3
+ {"perplexity": 18.415689675387068, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
4
+ {"perplexity": 18.62495101738529, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
5
+ {"perplexity": 17.95797139656144, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
6
+ {"perplexity": 17.99692398098935, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
7
+ {"perplexity": 17.353539339236303, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
8
+ {"perplexity": 15.052829367627572, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
9
+ {"perplexity": 18.0699122259556, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
10
+ {"perplexity": 20.10981625890148, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
11
+ {"perplexity": 19.597544201466086, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
12
+ {"perplexity": 18.086838460865486, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
13
+ {"perplexity": 15.445969255297772, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
14
+ {"perplexity": 16.943984954846748, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
15
+ {"perplexity": 18.14348197852848, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
16
+ {"perplexity": 16.589428411237773, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
17
+ {"perplexity": 17.30307031692845, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
18
+ {"perplexity": 19.72102646917367, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
19
+ {"perplexity": 15.779634604332289, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
20
+ {"perplexity": 17.419806117652058, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
21
+ {"perplexity": 15.559547606553126, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
22
+ {"perplexity": 17.082204556504013, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
23
+ {"perplexity": 18.333640655558845, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
24
+ {"perplexity": 17.586003645310285, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
25
+ {"perplexity": 14.815450733679832, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
26
+ {"perplexity": 15.934153170095586, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
27
+ {"perplexity": 16.47254979687826, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
28
+ {"perplexity": 17.514940779489855, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
29
+ {"perplexity": 20.14270979793668, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
30
+ {"perplexity": 18.55705054465419, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
31
+ {"perplexity": 18.341798906497978, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
32
+ {"perplexity": 17.711652484508328, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
33
+ {"perplexity": 17.42738736678251, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
34
+ {"perplexity": 16.468654314537662, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
35
+ {"perplexity": 16.8296794057361, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
36
+ {"perplexity": 17.417924817190986, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
37
+ {"perplexity": 16.142876710899984, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
38
+ {"perplexity": 15.19429949560112, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
39
+ {"perplexity": 16.21488939023964, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
40
+ {"perplexity": 17.228077248077785, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
41
+ {"perplexity": 15.995186698089991, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
42
+ {"perplexity": 16.27298992920303, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
43
+ {"perplexity": 18.173752798998247, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
44
+ {"perplexity": 17.23056246099843, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
45
+ {"perplexity": 22.24324006318175, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
46
+ {"perplexity": 16.586387119753912, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
47
+ {"perplexity": 16.82311221137228, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
48
+ {"perplexity": 16.908899649469372, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
49
+ {"perplexity": 16.95173498795324, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
50
+ {"perplexity": 18.4085343184608, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
51
+ {"perplexity": 17.2697199765289, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
52
+ {"perplexity": 19.12981151446513, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
53
+ {"perplexity": 18.105489877352635, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
54
+ {"perplexity": 16.479050863370478, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
55
+ {"perplexity": 18.41854381420489, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
56
+ {"perplexity": 17.27677456107026, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
57
+ {"perplexity": 14.208783512269868, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
58
+ {"perplexity": 16.76551762856343, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
59
+ {"perplexity": 17.956781175107384, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
60
+ {"perplexity": 18.17297288287608, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
61
+ {"perplexity": 17.867798663293183, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
62
+ {"perplexity": 16.639033747724092, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
63
+ {"perplexity": 15.863065803618268, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
64
+ {"perplexity": 16.54384386918694, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
65
+ {"perplexity": 16.974973985325853, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
66
+ {"perplexity": 17.054695178040703, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
67
+ {"perplexity": 17.477868957348743, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
68
+ {"perplexity": 16.57903732786486, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
69
+ {"perplexity": 17.193112822548088, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
70
+ {"perplexity": 16.487500189314815, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
71
+ {"perplexity": 16.826016384393935, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
72
+ {"perplexity": 16.778529599584797, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
73
+ {"perplexity": 17.976288485874594, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
74
+ {"perplexity": 16.23822546161726, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
75
+ {"perplexity": 17.870678665627548, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
76
+ {"perplexity": 15.839611759626367, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
77
+ {"perplexity": 16.005562917351106, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
78
+ {"perplexity": 17.759307289230925, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
79
+ {"perplexity": 17.8747907158987, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
80
+ {"perplexity": 16.313035806921913, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
81
+ {"perplexity": 18.4356955204206, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
82
+ {"perplexity": 15.66130914342497, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
83
+ {"perplexity": 16.919775820414383, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
84
+ {"perplexity": 17.222036184251756, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
85
+ {"perplexity": 17.719800114110047, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
86
+ {"perplexity": 17.642109162361503, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
87
+ {"perplexity": 15.78243013537156, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
88
+ {"perplexity": 16.232132872308306, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
89
+ {"perplexity": 18.726033339597585, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
90
+ {"perplexity": 17.865072461583015, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
91
+ {"perplexity": 14.43353377346608, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
92
+ {"perplexity": 13.359282811706107, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
93
+ {"perplexity": 16.726618000555508, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
94
+ {"perplexity": 16.430564911104078, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
95
+ {"perplexity": 15.266105615911957, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
96
+ {"perplexity": 17.21504499471923, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
97
+ {"perplexity": 15.336788381974815, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
98
+ {"perplexity": 18.162079221698328, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
99
+ {"perplexity": 16.675741666909403, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
100
+ {"perplexity": 18.728274720125025, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
101
+ {"perplexity": 16.292023628631146, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
102
+ {"perplexity": 18.428576327385116, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
103
+ {"perplexity": 16.48145553287926, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
104
+ {"perplexity": 17.322937135783576, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
105
+ {"perplexity": 16.282451590087565, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
106
+ {"perplexity": 15.965091816391983, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
107
+ {"perplexity": 18.000459948370636, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
108
+ {"perplexity": 15.897883686932667, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-2.7b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.09172106844453, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
2
+ {"perplexity": 15.094150855236448, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
3
+ {"perplexity": 16.739492023482835, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
4
+ {"perplexity": 16.86192668952074, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
5
+ {"perplexity": 16.57206614198291, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
6
+ {"perplexity": 15.271227565511147, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
7
+ {"perplexity": 14.593863322746763, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
8
+ {"perplexity": 17.579514342052043, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
9
+ {"perplexity": 19.131471755008178, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
10
+ {"perplexity": 16.368580344566745, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
11
+ {"perplexity": 14.486574201905125, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
12
+ {"perplexity": 15.291765366923247, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
13
+ {"perplexity": 16.235763377697946, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
14
+ {"perplexity": 15.314930339459206, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
15
+ {"perplexity": 16.096972491909398, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
16
+ {"perplexity": 15.845201903275294, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
17
+ {"perplexity": 16.684216263507608, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
18
+ {"perplexity": 18.214580412885287, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
19
+ {"perplexity": 16.732720656392743, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
20
+ {"perplexity": 17.61920442408923, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
21
+ {"perplexity": 15.856187746936618, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
22
+ {"perplexity": 15.372580418366152, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
23
+ {"perplexity": 18.433308966011555, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
24
+ {"perplexity": 14.400079184934636, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
25
+ {"perplexity": 15.981886755734003, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
26
+ {"perplexity": 16.87264794064322, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
27
+ {"perplexity": 15.622125660587738, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
28
+ {"perplexity": 15.97865207158, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
29
+ {"perplexity": 15.592346066471357, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
30
+ {"perplexity": 15.247841499842677, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
31
+ {"perplexity": 14.145869107031709, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
32
+ {"perplexity": 16.76984716689347, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
33
+ {"perplexity": 15.968099135458196, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
34
+ {"perplexity": 16.960058702901804, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
35
+ {"perplexity": 17.411750762205454, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
36
+ {"perplexity": 20.999411016308926, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
37
+ {"perplexity": 15.55646887244214, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
38
+ {"perplexity": 16.24054078046156, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
39
+ {"perplexity": 16.50984297616773, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
40
+ {"perplexity": 17.647047940066667, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
41
+ {"perplexity": 15.026381094065668, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
42
+ {"perplexity": 15.222640160888897, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
43
+ {"perplexity": 15.928956988046082, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
44
+ {"perplexity": 16.188475691881735, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
45
+ {"perplexity": 14.880750631767695, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
46
+ {"perplexity": 15.646238720714676, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
47
+ {"perplexity": 16.95144803617356, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
48
+ {"perplexity": 15.523871719700272, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
49
+ {"perplexity": 16.31271299565805, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
50
+ {"perplexity": 16.88246228785403, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
51
+ {"perplexity": 18.212856444805993, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
52
+ {"perplexity": 12.922040898369975, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
53
+ {"perplexity": 16.648827320000297, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
54
+ {"perplexity": 15.009756432108276, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
55
+ {"perplexity": 16.205683357223336, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
56
+ {"perplexity": 15.686649517105105, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
57
+ {"perplexity": 16.36283676404786, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
58
+ {"perplexity": 16.01327314145368, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
59
+ {"perplexity": 15.380326744271516, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
60
+ {"perplexity": 14.246480250656552, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
61
+ {"perplexity": 15.86592907355016, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
62
+ {"perplexity": 16.896435138580184, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
63
+ {"perplexity": 18.204230371189244, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
64
+ {"perplexity": 15.420400012941673, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
65
+ {"perplexity": 15.400864395004662, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
66
+ {"perplexity": 14.64352279865373, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
67
+ {"perplexity": 15.20068023940594, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
68
+ {"perplexity": 13.66719369862517, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
69
+ {"perplexity": 13.645740212596204, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
70
+ {"perplexity": 14.715539540176378, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
71
+ {"perplexity": 15.931490294918087, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
72
+ {"perplexity": 16.065268842453612, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
73
+ {"perplexity": 16.40754701987222, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
74
+ {"perplexity": 16.24459144633284, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
75
+ {"perplexity": 15.899373364601729, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
76
+ {"perplexity": 15.575982766675962, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
77
+ {"perplexity": 15.041614726547222, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
78
+ {"perplexity": 13.253973822425873, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
79
+ {"perplexity": 15.435113066998492, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
80
+ {"perplexity": 17.35305526946347, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
81
+ {"perplexity": 15.325000459098849, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
82
+ {"perplexity": 15.985564194235199, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
83
+ {"perplexity": 16.11074463077651, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
84
+ {"perplexity": 17.230007878283946, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
85
+ {"perplexity": 14.167744070135305, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
86
+ {"perplexity": 16.562850815760807, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
87
+ {"perplexity": 17.113699350262507, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
88
+ {"perplexity": 16.41667985139094, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
89
+ {"perplexity": 15.639577726741555, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
90
+ {"perplexity": 15.837738747341952, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
91
+ {"perplexity": 15.1437037029198, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
92
+ {"perplexity": 18.01513047125803, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
93
+ {"perplexity": 16.39165299578295, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 27.059793001015247, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
2
+ {"perplexity": 35.857068971648246, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
3
+ {"perplexity": 26.074832901816833, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
4
+ {"perplexity": 27.61944542748668, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
5
+ {"perplexity": 30.97346100212338, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
6
+ {"perplexity": 28.796574338488618, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
7
+ {"perplexity": 29.957609713687773, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
8
+ {"perplexity": 24.143801290590574, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
9
+ {"perplexity": 29.168992408201884, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
10
+ {"perplexity": 32.55203294491203, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
11
+ {"perplexity": 28.75784387906127, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
12
+ {"perplexity": 27.005010292047057, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
13
+ {"perplexity": 26.450630588080177, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
14
+ {"perplexity": 30.18548769540239, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
15
+ {"perplexity": 27.791551321293365, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
16
+ {"perplexity": 25.832137052899355, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
17
+ {"perplexity": 23.7462116877199, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
18
+ {"perplexity": 26.732335228713765, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
19
+ {"perplexity": 29.433422879692895, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
20
+ {"perplexity": 30.197487113861573, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
21
+ {"perplexity": 30.645229531129257, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
22
+ {"perplexity": 33.3380319810294, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
23
+ {"perplexity": 26.51472358751516, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
24
+ {"perplexity": 27.283153049026478, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
25
+ {"perplexity": 28.195088783613734, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
26
+ {"perplexity": 28.403728560439763, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
27
+ {"perplexity": 26.95078827704507, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
28
+ {"perplexity": 29.143591987785676, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
29
+ {"perplexity": 26.328357022527463, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
30
+ {"perplexity": 29.81173861816445, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
31
+ {"perplexity": 26.66747459930179, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
32
+ {"perplexity": 29.189536070210906, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
33
+ {"perplexity": 22.49478255255033, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
34
+ {"perplexity": 34.50018213932395, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
35
+ {"perplexity": 34.4832664661947, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
36
+ {"perplexity": 26.382314291299057, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
37
+ {"perplexity": 30.664860785440148, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
38
+ {"perplexity": 25.687453296220056, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
39
+ {"perplexity": 23.38643966745059, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
40
+ {"perplexity": 28.108739750948835, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
41
+ {"perplexity": 25.277252738650912, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
42
+ {"perplexity": 24.994107298758543, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
43
+ {"perplexity": 29.902748846692432, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
44
+ {"perplexity": 26.00399026801598, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
45
+ {"perplexity": 29.42937407519644, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
46
+ {"perplexity": 28.227508571178134, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
47
+ {"perplexity": 25.89926949914087, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
48
+ {"perplexity": 25.645865805150095, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
49
+ {"perplexity": 27.485903076154376, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
50
+ {"perplexity": 27.193754612755832, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
51
+ {"perplexity": 25.01741212063842, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
52
+ {"perplexity": 29.379935222949033, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
53
+ {"perplexity": 30.14256784806428, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
54
+ {"perplexity": 25.504414306495516, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
55
+ {"perplexity": 25.47902168140868, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
56
+ {"perplexity": 31.372416469048954, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
57
+ {"perplexity": 27.67124536996174, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
58
+ {"perplexity": 27.800391840668322, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
59
+ {"perplexity": 29.159480299642638, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
60
+ {"perplexity": 28.801126616489167, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
61
+ {"perplexity": 29.09996109942647, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
62
+ {"perplexity": 24.91854170336769, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
63
+ {"perplexity": 33.73404216029091, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
64
+ {"perplexity": 30.170860184754854, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
65
+ {"perplexity": 30.085245022541624, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
66
+ {"perplexity": 25.51333629204605, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
67
+ {"perplexity": 25.798968261573908, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
68
+ {"perplexity": 27.366150322192233, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
69
+ {"perplexity": 29.048180577138446, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
70
+ {"perplexity": 27.51628059421636, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
71
+ {"perplexity": 28.03390843476033, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
72
+ {"perplexity": 33.93873928279201, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
73
+ {"perplexity": 27.999728260480296, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
74
+ {"perplexity": 35.63973952856313, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
75
+ {"perplexity": 24.35307068018378, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
76
+ {"perplexity": 28.346704887079397, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
77
+ {"perplexity": 37.51586707954673, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
78
+ {"perplexity": 29.451020947963684, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
79
+ {"perplexity": 26.367907758569004, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
80
+ {"perplexity": 29.807545386402435, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
81
+ {"perplexity": 26.122839069910462, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
82
+ {"perplexity": 32.94198933269254, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
83
+ {"perplexity": 33.00037253448465, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
84
+ {"perplexity": 28.858135570149035, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
85
+ {"perplexity": 32.33711368091706, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
86
+ {"perplexity": 29.123268135984766, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
87
+ {"perplexity": 29.452432337565885, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
88
+ {"perplexity": 28.298511335701615, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
89
+ {"perplexity": 34.794438126248004, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 23.005638233568757, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
2
+ {"perplexity": 25.50395217548969, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
3
+ {"perplexity": 24.75014407654291, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
4
+ {"perplexity": 21.92058578756297, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
5
+ {"perplexity": 22.7856252501805, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
6
+ {"perplexity": 24.841854142309916, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
7
+ {"perplexity": 24.818671439762273, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
8
+ {"perplexity": 21.068767264507972, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
9
+ {"perplexity": 27.722897904340847, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
10
+ {"perplexity": 21.260850165171835, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
11
+ {"perplexity": 29.389890619806742, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
12
+ {"perplexity": 25.41156685189269, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
13
+ {"perplexity": 19.64717663409017, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
14
+ {"perplexity": 24.012294715835413, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
15
+ {"perplexity": 26.35310069014487, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
16
+ {"perplexity": 28.75234556851959, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
17
+ {"perplexity": 30.574876790227904, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
18
+ {"perplexity": 25.918801790273925, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
19
+ {"perplexity": 23.428211505046516, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
20
+ {"perplexity": 24.907772919440177, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
21
+ {"perplexity": 25.776877349476425, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
22
+ {"perplexity": 26.594463839174622, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
23
+ {"perplexity": 24.83353405871919, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
24
+ {"perplexity": 24.052603725538, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
25
+ {"perplexity": 23.225078796980362, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
26
+ {"perplexity": 21.29246353919258, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
27
+ {"perplexity": 24.059704192834896, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
28
+ {"perplexity": 24.81566566774148, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
29
+ {"perplexity": 26.845057865832352, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
30
+ {"perplexity": 28.470823160967257, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
31
+ {"perplexity": 24.311324909638028, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
32
+ {"perplexity": 24.677987115032153, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
33
+ {"perplexity": 24.929338917598205, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
34
+ {"perplexity": 23.712735985099343, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
35
+ {"perplexity": 23.99594402537755, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
36
+ {"perplexity": 23.44193405284003, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
37
+ {"perplexity": 24.707328858722054, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
38
+ {"perplexity": 23.18930226188784, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
39
+ {"perplexity": 20.569211415258295, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
40
+ {"perplexity": 23.799052912314234, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
41
+ {"perplexity": 22.89064892320103, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
42
+ {"perplexity": 27.621071967645985, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
43
+ {"perplexity": 26.061700270960298, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
44
+ {"perplexity": 25.756144000430726, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
45
+ {"perplexity": 23.34072969632202, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
46
+ {"perplexity": 25.94999624524667, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
47
+ {"perplexity": 25.86015041528628, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
48
+ {"perplexity": 25.039281991330597, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
49
+ {"perplexity": 28.240507120684207, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
50
+ {"perplexity": 26.407303843553148, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
51
+ {"perplexity": 25.348236698867247, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
52
+ {"perplexity": 26.097795153759453, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
53
+ {"perplexity": 25.151394911568584, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
54
+ {"perplexity": 26.584891234840928, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
55
+ {"perplexity": 24.83084617193241, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
56
+ {"perplexity": 28.45979484100094, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
57
+ {"perplexity": 24.59803400066235, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
58
+ {"perplexity": 26.35356564133921, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
59
+ {"perplexity": 22.351171984652133, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
60
+ {"perplexity": 22.804326209168316, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
61
+ {"perplexity": 24.651230837986503, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
62
+ {"perplexity": 26.218797914732615, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
63
+ {"perplexity": 26.09233263458692, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
64
+ {"perplexity": 26.306678331990618, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
65
+ {"perplexity": 27.077133889703852, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
66
+ {"perplexity": 26.56936052136057, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
67
+ {"perplexity": 23.060971243988064, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
68
+ {"perplexity": 25.068778371837766, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
69
+ {"perplexity": 29.924180282556804, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
70
+ {"perplexity": 28.62250936541392, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
71
+ {"perplexity": 24.149592853896007, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
72
+ {"perplexity": 26.401298150345767, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
73
+ {"perplexity": 25.577536288566936, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
74
+ {"perplexity": 23.494792771575828, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
75
+ {"perplexity": 25.659039714821542, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
76
+ {"perplexity": 24.26119833506775, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
77
+ {"perplexity": 27.098064872585887, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
78
+ {"perplexity": 28.018853866656954, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
79
+ {"perplexity": 26.000407010629356, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
80
+ {"perplexity": 25.399367781393128, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
81
+ {"perplexity": 25.820210092592873, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
82
+ {"perplexity": 21.076820969856623, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
83
+ {"perplexity": 24.9438396165243, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
84
+ {"perplexity": 27.56974061498185, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
85
+ {"perplexity": 28.960344344901547, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
86
+ {"perplexity": 28.76721125260111, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
87
+ {"perplexity": 24.787714051559735, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
88
+ {"perplexity": 26.22546863198434, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
89
+ {"perplexity": 24.851830071938842, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
90
+ {"perplexity": 22.523450881132863, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
91
+ {"perplexity": 22.456115160071445, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
92
+ {"perplexity": 24.653458439660525, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-1.3b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 25.014555232780953, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?\n yes", "output": ""}
2
+ {"perplexity": 23.999725956514677, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?\n yes", "output": ""}
3
+ {"perplexity": 20.047965933356743, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?\n yes", "output": ""}
4
+ {"perplexity": 24.184135015032105, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?\n yes", "output": ""}
5
+ {"perplexity": 19.248442036367965, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?\n yes", "output": ""}
6
+ {"perplexity": 24.31724942091808, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?\n yes", "output": ""}
7
+ {"perplexity": 21.483409965586375, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?\n yes", "output": ""}
8
+ {"perplexity": 22.843930864866202, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?\n yes", "output": ""}
9
+ {"perplexity": 27.19308682083286, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?\n yes", "output": ""}
10
+ {"perplexity": 23.304197162342586, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?\n yes", "output": ""}
11
+ {"perplexity": 22.08156840674908, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?\n yes", "output": ""}
12
+ {"perplexity": 21.90036943168281, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
13
+ {"perplexity": 21.352847892670006, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?\n yes", "output": ""}
14
+ {"perplexity": 24.928257202670952, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?\n yes", "output": ""}
15
+ {"perplexity": 23.594116751126, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?\n yes", "output": ""}
16
+ {"perplexity": 23.900933863654107, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?\n yes", "output": ""}
17
+ {"perplexity": 21.55367614175982, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?\n yes", "output": ""}
18
+ {"perplexity": 22.41723630950732, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?\n yes", "output": ""}
19
+ {"perplexity": 23.82090268718031, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?\n yes", "output": ""}
20
+ {"perplexity": 20.123466189552072, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?\n yes", "output": ""}
21
+ {"perplexity": 22.964565080293013, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?\n yes", "output": ""}
22
+ {"perplexity": 24.040925206705147, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?\n yes", "output": ""}
23
+ {"perplexity": 21.989204200581074, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?\n yes", "output": ""}
24
+ {"perplexity": 23.288478551189588, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?\n yes", "output": ""}
25
+ {"perplexity": 23.513190007396616, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?\n yes", "output": ""}
26
+ {"perplexity": 24.624145445849727, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?\n yes", "output": ""}
27
+ {"perplexity": 23.869112257704476, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?\n yes", "output": ""}
28
+ {"perplexity": 23.07791731051595, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
29
+ {"perplexity": 19.07990747279384, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?\n yes", "output": ""}
30
+ {"perplexity": 23.935308675350104, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?\n yes", "output": ""}
31
+ {"perplexity": 22.186261323219576, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?\n yes", "output": ""}
32
+ {"perplexity": 20.576720935518342, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?\n yes", "output": ""}
33
+ {"perplexity": 21.902520776786954, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?\n yes", "output": ""}
34
+ {"perplexity": 24.54328420547294, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?\n yes", "output": ""}
35
+ {"perplexity": 25.836577973662656, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?\n yes", "output": ""}
36
+ {"perplexity": 23.13222734698595, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
37
+ {"perplexity": 25.18366509461032, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?\n yes", "output": ""}
38
+ {"perplexity": 22.066058914308528, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?\n yes", "output": ""}
39
+ {"perplexity": 21.523014216123567, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?\n yes", "output": ""}
40
+ {"perplexity": 23.612096354366365, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?\n yes", "output": ""}
41
+ {"perplexity": 22.010620300755505, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?\n yes", "output": ""}
42
+ {"perplexity": 24.525279664932366, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?\n yes", "output": ""}
43
+ {"perplexity": 27.89392593012548, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?\n yes", "output": ""}
44
+ {"perplexity": 21.91522951028113, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?\n yes", "output": ""}
45
+ {"perplexity": 25.113303654042376, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?\n yes", "output": ""}
46
+ {"perplexity": 21.588792422112718, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?\n yes", "output": ""}
47
+ {"perplexity": 21.047976518076982, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?\n yes", "output": ""}
48
+ {"perplexity": 20.23097858641824, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?\n yes", "output": ""}
49
+ {"perplexity": 22.97448277037521, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?\n yes", "output": ""}
50
+ {"perplexity": 23.035731998473736, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?\n yes", "output": ""}
51
+ {"perplexity": 25.006105764649984, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?\n yes", "output": ""}
52
+ {"perplexity": 23.331432661311197, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?\n yes", "output": ""}
53
+ {"perplexity": 25.323651622381988, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?\n yes", "output": ""}
54
+ {"perplexity": 23.632010880505653, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?\n yes", "output": ""}
55
+ {"perplexity": 23.95828885457225, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?\n yes", "output": ""}
56
+ {"perplexity": 22.482665044006733, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?\n yes", "output": ""}
57
+ {"perplexity": 29.20139021169564, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?\n yes", "output": ""}
58
+ {"perplexity": 25.59788173922226, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?\n yes", "output": ""}
59
+ {"perplexity": 24.07702825768497, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?\n yes", "output": ""}
60
+ {"perplexity": 21.815955408560715, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?\n yes", "output": ""}
61
+ {"perplexity": 24.189169210745703, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?\n yes", "output": ""}
62
+ {"perplexity": 25.038929773835857, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?\n yes", "output": ""}
63
+ {"perplexity": 22.30827796962169, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?\n yes", "output": ""}
64
+ {"perplexity": 23.626292747300703, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?\n yes", "output": ""}
65
+ {"perplexity": 22.498810656904475, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?\n yes", "output": ""}
66
+ {"perplexity": 19.071907451637944, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?\n yes", "output": ""}
67
+ {"perplexity": 22.874162129084883, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?\n yes", "output": ""}
68
+ {"perplexity": 25.474429643123294, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?\n yes", "output": ""}
69
+ {"perplexity": 20.396998823120907, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?\n yes", "output": ""}
70
+ {"perplexity": 21.955247687123414, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?\n yes", "output": ""}
71
+ {"perplexity": 24.32363350893343, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?\n yes", "output": ""}
72
+ {"perplexity": 21.28932140585733, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?\n yes", "output": ""}
73
+ {"perplexity": 25.032059538829383, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?\n yes", "output": ""}
74
+ {"perplexity": 24.393858689039735, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?\n yes", "output": ""}
75
+ {"perplexity": 22.773731144717704, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?\n yes", "output": ""}
76
+ {"perplexity": 26.7842466173379, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
77
+ {"perplexity": 21.19156893263663, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?\n yes", "output": ""}
78
+ {"perplexity": 20.523986718621117, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?\n yes", "output": ""}
79
+ {"perplexity": 24.449936453589867, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?\n yes", "output": ""}
80
+ {"perplexity": 20.139722928945993, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?\n yes", "output": ""}
81
+ {"perplexity": 25.044159817523983, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?\n yes", "output": ""}
82
+ {"perplexity": 26.6859383243363, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?\n yes", "output": ""}
83
+ {"perplexity": 23.564894678758527, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?\n yes", "output": ""}
84
+ {"perplexity": 21.696088408343922, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?\n yes", "output": ""}
85
+ {"perplexity": 22.441664133166196, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?\n yes", "output": ""}
86
+ {"perplexity": 23.085181363115172, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?\n yes", "output": ""}
87
+ {"perplexity": 22.67051405376989, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?\n yes", "output": ""}
88
+ {"perplexity": 24.413541981848056, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?\n yes", "output": ""}
89
+ {"perplexity": 22.500747192784292, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?\n yes", "output": ""}
90
+ {"perplexity": 23.81611547979387, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?\n yes", "output": ""}
91
+ {"perplexity": 20.07031920643121, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?\n yes", "output": ""}
92
+ {"perplexity": 23.2033772270879, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?\n yes", "output": ""}
93
+ {"perplexity": 22.786190238890264, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-1.3b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.466019888618227, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?\n yes", "output": ""}
2
+ {"perplexity": 13.850398686522066, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?\n yes", "output": ""}
3
+ {"perplexity": 19.016658553834624, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?\n yes", "output": ""}
4
+ {"perplexity": 19.211543677300906, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?\n yes", "output": ""}
5
+ {"perplexity": 18.499212907778137, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
6
+ {"perplexity": 18.53986549971749, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?\n yes", "output": ""}
7
+ {"perplexity": 16.17757975573462, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?\n yes", "output": ""}
8
+ {"perplexity": 13.669572620057934, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?\n yes", "output": ""}
9
+ {"perplexity": 17.479469177293975, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?\n yes", "output": ""}
10
+ {"perplexity": 20.075660129820996, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?\n yes", "output": ""}
11
+ {"perplexity": 20.174685493383805, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?\n yes", "output": ""}
12
+ {"perplexity": 18.328029047109553, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?\n yes", "output": ""}
13
+ {"perplexity": 14.76366288070627, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?\n yes", "output": ""}
14
+ {"perplexity": 16.636264973875786, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?\n yes", "output": ""}
15
+ {"perplexity": 18.28832929613295, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?\n yes", "output": ""}
16
+ {"perplexity": 17.158571173105575, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?\n yes", "output": ""}
17
+ {"perplexity": 17.46550553171771, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?\n yes", "output": ""}
18
+ {"perplexity": 18.116872235830655, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?\n yes", "output": ""}
19
+ {"perplexity": 14.806467341289526, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?\n yes", "output": ""}
20
+ {"perplexity": 17.261820450776348, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?\n yes", "output": ""}
21
+ {"perplexity": 15.068150886007887, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?\n yes", "output": ""}
22
+ {"perplexity": 17.136723206390382, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?\n yes", "output": ""}
23
+ {"perplexity": 18.005361673190514, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?\n yes", "output": ""}
24
+ {"perplexity": 17.463602641223932, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?\n yes", "output": ""}
25
+ {"perplexity": 14.055405291119303, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?\n yes", "output": ""}
26
+ {"perplexity": 15.62105301117392, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?\n yes", "output": ""}
27
+ {"perplexity": 15.98174196199811, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?\n yes", "output": ""}
28
+ {"perplexity": 16.381467810923628, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?\n yes", "output": ""}
29
+ {"perplexity": 18.314684343857195, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?\n yes", "output": ""}
30
+ {"perplexity": 16.978556090247835, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?\n yes", "output": ""}
31
+ {"perplexity": 18.997788659664348, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?\n yes", "output": ""}
32
+ {"perplexity": 17.525011738008057, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?\n yes", "output": ""}
33
+ {"perplexity": 16.796024082681818, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?\n yes", "output": ""}
34
+ {"perplexity": 15.746276997569623, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?\n yes", "output": ""}
35
+ {"perplexity": 16.80941640970661, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?\n yes", "output": ""}
36
+ {"perplexity": 17.860225961501467, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?\n yes", "output": ""}
37
+ {"perplexity": 17.326026733593558, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?\n yes", "output": ""}
38
+ {"perplexity": 14.224331107742563, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?\n yes", "output": ""}
39
+ {"perplexity": 16.806446983228536, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?\n yes", "output": ""}
40
+ {"perplexity": 16.434933339135668, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?\n yes", "output": ""}
41
+ {"perplexity": 14.702521905193588, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?\n yes", "output": ""}
42
+ {"perplexity": 17.600701460194337, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?\n yes", "output": ""}
43
+ {"perplexity": 17.766790606374016, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?\n yes", "output": ""}
44
+ {"perplexity": 16.737225285616134, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?\n yes", "output": ""}
45
+ {"perplexity": 20.539303566105463, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?\n yes", "output": ""}
46
+ {"perplexity": 16.689352428749988, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?\n yes", "output": ""}
47
+ {"perplexity": 16.624897206034348, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?\n yes", "output": ""}
48
+ {"perplexity": 17.442235394604968, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?\n yes", "output": ""}
49
+ {"perplexity": 17.063272857802534, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?\n yes", "output": ""}
50
+ {"perplexity": 18.252213942388778, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?\n yes", "output": ""}
51
+ {"perplexity": 16.196586812928263, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?\n yes", "output": ""}
52
+ {"perplexity": 17.26092328665412, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?\n yes", "output": ""}
53
+ {"perplexity": 17.485838170699893, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?\n yes", "output": ""}
54
+ {"perplexity": 15.931816957509021, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?\n yes", "output": ""}
55
+ {"perplexity": 16.84884602587767, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?\n yes", "output": ""}
56
+ {"perplexity": 17.589177904062225, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
57
+ {"perplexity": 14.37625159066798, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?\n yes", "output": ""}
58
+ {"perplexity": 16.188329026477977, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?\n yes", "output": ""}
59
+ {"perplexity": 17.668135316173238, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?\n yes", "output": ""}
60
+ {"perplexity": 17.17076645292103, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?\n yes", "output": ""}
61
+ {"perplexity": 16.639902555403353, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?\n yes", "output": ""}
62
+ {"perplexity": 16.322493510697097, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?\n yes", "output": ""}
63
+ {"perplexity": 15.765807211023853, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?\n yes", "output": ""}
64
+ {"perplexity": 16.930146348784888, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?\n yes", "output": ""}
65
+ {"perplexity": 15.87023062314625, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?\n yes", "output": ""}
66
+ {"perplexity": 17.309961062286877, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
67
+ {"perplexity": 17.19854096381241, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?\n yes", "output": ""}
68
+ {"perplexity": 16.648874952745476, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?\n yes", "output": ""}
69
+ {"perplexity": 15.523886524425082, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?\n yes", "output": ""}
70
+ {"perplexity": 16.161130153693094, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?\n yes", "output": ""}
71
+ {"perplexity": 17.84340118822849, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?\n yes", "output": ""}
72
+ {"perplexity": 17.274447424030114, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?\n yes", "output": ""}
73
+ {"perplexity": 18.498502821881676, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?\n yes", "output": ""}
74
+ {"perplexity": 15.834612518680045, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?\n yes", "output": ""}
75
+ {"perplexity": 17.710102789472245, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?\n yes", "output": ""}
76
+ {"perplexity": 14.392936371235002, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?\n yes", "output": ""}
77
+ {"perplexity": 15.733240289119067, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?\n yes", "output": ""}
78
+ {"perplexity": 18.100030093987318, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?\n yes", "output": ""}
79
+ {"perplexity": 18.5381726218776, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?\n yes", "output": ""}
80
+ {"perplexity": 15.295262128154668, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?\n yes", "output": ""}
81
+ {"perplexity": 17.97190456409546, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?\n yes", "output": ""}
82
+ {"perplexity": 15.72867211654016, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?\n yes", "output": ""}
83
+ {"perplexity": 16.721394619492038, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?\n yes", "output": ""}
84
+ {"perplexity": 17.644456381774376, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?\n yes", "output": ""}
85
+ {"perplexity": 16.586347574772557, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?\n yes", "output": ""}
86
+ {"perplexity": 15.28796322755046, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?\n yes", "output": ""}
87
+ {"perplexity": 14.982990889261922, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?\n yes", "output": ""}
88
+ {"perplexity": 15.613568862580406, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?\n yes", "output": ""}
89
+ {"perplexity": 18.15070740800078, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?\n yes", "output": ""}
90
+ {"perplexity": 17.326989247603215, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?\n yes", "output": ""}
91
+ {"perplexity": 14.131293334797581, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?\n yes", "output": ""}
92
+ {"perplexity": 12.612994264740534, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?\n yes", "output": ""}
93
+ {"perplexity": 16.60777498545825, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?\n yes", "output": ""}
94
+ {"perplexity": 16.84555636024226, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?\n yes", "output": ""}
95
+ {"perplexity": 14.7861512335875, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?\n yes", "output": ""}
96
+ {"perplexity": 15.318695358391484, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?\n yes", "output": ""}
97
+ {"perplexity": 15.621499939478811, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?\n yes", "output": ""}
98
+ {"perplexity": 18.04476982937094, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?\n yes", "output": ""}
99
+ {"perplexity": 16.866425889663628, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?\n yes", "output": ""}
100
+ {"perplexity": 19.672107975119363, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?\n yes", "output": ""}
101
+ {"perplexity": 17.13807563082233, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?\n yes", "output": ""}
102
+ {"perplexity": 18.305948939150067, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?\n yes", "output": ""}
103
+ {"perplexity": 15.343854512735069, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?\n yes", "output": ""}
104
+ {"perplexity": 17.813570188051088, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?\n yes", "output": ""}
105
+ {"perplexity": 15.699183483999764, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?\n yes", "output": ""}
106
+ {"perplexity": 15.139162324281456, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?\n yes", "output": ""}
107
+ {"perplexity": 16.539651546046063, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?\n yes", "output": ""}
108
+ {"perplexity": 15.848492700497035, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-1.3b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.559118826409414, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?\n yes", "output": ""}
2
+ {"perplexity": 14.204034837524842, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?\n yes", "output": ""}
3
+ {"perplexity": 15.428703807175888, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?\n yes", "output": ""}
4
+ {"perplexity": 15.908553312973181, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
5
+ {"perplexity": 16.78562365414459, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?\n yes", "output": ""}
6
+ {"perplexity": 14.725780782732613, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?\n yes", "output": ""}
7
+ {"perplexity": 13.924366475555788, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?\n yes", "output": ""}
8
+ {"perplexity": 18.089292290912876, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?\n yes", "output": ""}
9
+ {"perplexity": 18.276198668787742, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?\n yes", "output": ""}
10
+ {"perplexity": 16.90161245653568, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?\n yes", "output": ""}
11
+ {"perplexity": 14.081504165890456, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?\n yes", "output": ""}
12
+ {"perplexity": 15.394509730219497, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?\n yes", "output": ""}
13
+ {"perplexity": 16.271911385234578, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?\n yes", "output": ""}
14
+ {"perplexity": 15.166499742200685, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?\n yes", "output": ""}
15
+ {"perplexity": 16.53260626227437, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?\n yes", "output": ""}
16
+ {"perplexity": 15.195495001718339, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?\n yes", "output": ""}
17
+ {"perplexity": 16.290477742169905, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?\n yes", "output": ""}
18
+ {"perplexity": 17.714938117525076, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?\n yes", "output": ""}
19
+ {"perplexity": 15.723647908891454, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?\n yes", "output": ""}
20
+ {"perplexity": 17.735890960965204, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
21
+ {"perplexity": 15.513326941260235, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?\n yes", "output": ""}
22
+ {"perplexity": 14.966103796331854, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?\n yes", "output": ""}
23
+ {"perplexity": 17.477498093950732, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?\n yes", "output": ""}
24
+ {"perplexity": 14.791292004476645, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?\n yes", "output": ""}
25
+ {"perplexity": 14.95147064168565, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?\n yes", "output": ""}
26
+ {"perplexity": 18.61216666809628, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?\n yes", "output": ""}
27
+ {"perplexity": 16.032637582095827, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?\n yes", "output": ""}
28
+ {"perplexity": 16.587138492313603, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?\n yes", "output": ""}
29
+ {"perplexity": 15.327803152979042, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?\n yes", "output": ""}
30
+ {"perplexity": 14.7309146128308, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?\n yes", "output": ""}
31
+ {"perplexity": 13.574220150420752, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?\n yes", "output": ""}
32
+ {"perplexity": 16.90593280245247, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?\n yes", "output": ""}
33
+ {"perplexity": 15.677410726757406, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?\n yes", "output": ""}
34
+ {"perplexity": 17.715136626444906, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?\n yes", "output": ""}
35
+ {"perplexity": 16.707196070523484, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?\n yes", "output": ""}
36
+ {"perplexity": 19.253871809338346, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?\n yes", "output": ""}
37
+ {"perplexity": 15.12758761140176, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?\n yes", "output": ""}
38
+ {"perplexity": 16.589788340885736, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?\n yes", "output": ""}
39
+ {"perplexity": 16.469105860541468, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?\n yes", "output": ""}
40
+ {"perplexity": 16.21195927940067, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?\n yes", "output": ""}
41
+ {"perplexity": 15.072918923720923, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?\n yes", "output": ""}
42
+ {"perplexity": 15.858720823782884, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?\n yes", "output": ""}
43
+ {"perplexity": 15.536927565417384, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?\n yes", "output": ""}
44
+ {"perplexity": 15.918645612709296, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?\n yes", "output": ""}
45
+ {"perplexity": 14.689508781343111, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?\n yes", "output": ""}
46
+ {"perplexity": 15.65146581961515, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?\n yes", "output": ""}
47
+ {"perplexity": 17.648436431439322, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?\n yes", "output": ""}
48
+ {"perplexity": 15.392091168051588, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?\n yes", "output": ""}
49
+ {"perplexity": 15.788338875745257, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?\n yes", "output": ""}
50
+ {"perplexity": 17.251958322820354, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?\n yes", "output": ""}
51
+ {"perplexity": 18.364465172911196, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?\n yes", "output": ""}
52
+ {"perplexity": 12.890110385316648, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?\n yes", "output": ""}
53
+ {"perplexity": 16.025812088492295, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?\n yes", "output": ""}
54
+ {"perplexity": 14.506700045051371, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?\n yes", "output": ""}
55
+ {"perplexity": 15.801752769883457, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?\n yes", "output": ""}
56
+ {"perplexity": 15.654115480043876, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?\n yes", "output": ""}
57
+ {"perplexity": 16.37992124800667, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?\n yes", "output": ""}
58
+ {"perplexity": 15.88610764011723, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?\n yes", "output": ""}
59
+ {"perplexity": 15.193448207674875, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?\n yes", "output": ""}
60
+ {"perplexity": 13.869673774427596, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?\n yes", "output": ""}
61
+ {"perplexity": 15.70431968847713, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?\n yes", "output": ""}
62
+ {"perplexity": 16.543437605121234, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?\n yes", "output": ""}
63
+ {"perplexity": 19.27164516817518, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?\n yes", "output": ""}
64
+ {"perplexity": 14.816485727492822, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?\n yes", "output": ""}
65
+ {"perplexity": 15.808667519065326, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?\n yes", "output": ""}
66
+ {"perplexity": 14.29155670138008, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?\n yes", "output": ""}
67
+ {"perplexity": 14.896113640402127, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?\n yes", "output": ""}
68
+ {"perplexity": 12.96952688456806, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?\n yes", "output": ""}
69
+ {"perplexity": 13.480384490722967, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?\n yes", "output": ""}
70
+ {"perplexity": 15.053069824118781, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?\n yes", "output": ""}
71
+ {"perplexity": 16.186179372905897, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?\n yes", "output": ""}
72
+ {"perplexity": 16.08257177118202, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?\n yes", "output": ""}
73
+ {"perplexity": 15.57546658431777, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?\n yes", "output": ""}
74
+ {"perplexity": 16.501795300207924, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?\n yes", "output": ""}
75
+ {"perplexity": 16.404769831462794, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?\n yes", "output": ""}
76
+ {"perplexity": 15.881290615615479, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?\n yes", "output": ""}
77
+ {"perplexity": 15.693592472143854, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?\n yes", "output": ""}
78
+ {"perplexity": 12.971642105537965, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?\n yes", "output": ""}
79
+ {"perplexity": 14.532368742286623, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?\n yes", "output": ""}
80
+ {"perplexity": 16.118447879009302, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?\n yes", "output": ""}
81
+ {"perplexity": 15.300817022129198, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?\n yes", "output": ""}
82
+ {"perplexity": 14.952319066352604, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?\n yes", "output": ""}
83
+ {"perplexity": 16.259889297955368, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?\n yes", "output": ""}
84
+ {"perplexity": 16.809276141590697, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?\n yes", "output": ""}
85
+ {"perplexity": 13.828792800414929, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?\n yes", "output": ""}
86
+ {"perplexity": 16.670363268063518, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?\n yes", "output": ""}
87
+ {"perplexity": 17.648003042101593, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?\n yes", "output": ""}
88
+ {"perplexity": 16.787068439958695, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?\n yes", "output": ""}
89
+ {"perplexity": 15.265330374553134, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?\n yes", "output": ""}
90
+ {"perplexity": 16.40683507606217, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?\n yes", "output": ""}
91
+ {"perplexity": 15.851659462780415, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?\n yes", "output": ""}
92
+ {"perplexity": 17.98265414621429, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?\n yes", "output": ""}
93
+ {"perplexity": 16.12522055725928, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-max-1.3b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 30.81846969877107, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
2
+ {"perplexity": 43.05151955496, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?\n yes", "output": ""}
3
+ {"perplexity": 31.619800172797326, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?\n yes", "output": ""}
4
+ {"perplexity": 32.42727381578106, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?\n yes", "output": ""}
5
+ {"perplexity": 34.94239763759009, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?\n yes", "output": ""}
6
+ {"perplexity": 32.709339424566714, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?\n yes", "output": ""}
7
+ {"perplexity": 34.9398901216105, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?\n yes", "output": ""}
8
+ {"perplexity": 27.890940046794213, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
9
+ {"perplexity": 34.95650472664419, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?\n yes", "output": ""}
10
+ {"perplexity": 37.87353367458962, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?\n yes", "output": ""}
11
+ {"perplexity": 34.30416845954889, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
12
+ {"perplexity": 31.59316192628576, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?\n yes", "output": ""}
13
+ {"perplexity": 30.258832693197206, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
14
+ {"perplexity": 32.12323044379803, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?\n yes", "output": ""}
15
+ {"perplexity": 32.173825820384565, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?\n yes", "output": ""}
16
+ {"perplexity": 29.968989798664403, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?\n yes", "output": ""}
17
+ {"perplexity": 26.56665577237983, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?\n yes", "output": ""}
18
+ {"perplexity": 31.885908219606925, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
19
+ {"perplexity": 34.087822218182914, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?\n yes", "output": ""}
20
+ {"perplexity": 35.82026736398338, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
21
+ {"perplexity": 34.98084929793702, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?\n yes", "output": ""}
22
+ {"perplexity": 38.26063563555207, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?\n yes", "output": ""}
23
+ {"perplexity": 31.56777289145016, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?\n yes", "output": ""}
24
+ {"perplexity": 31.70477028193293, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
25
+ {"perplexity": 33.02444135161378, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?\n yes", "output": ""}
26
+ {"perplexity": 32.538454011372515, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
27
+ {"perplexity": 31.531088245905288, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
28
+ {"perplexity": 34.05398123647847, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?\n yes", "output": ""}
29
+ {"perplexity": 30.243470203687526, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?\n yes", "output": ""}
30
+ {"perplexity": 33.46899212330973, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?\n yes", "output": ""}
31
+ {"perplexity": 31.24003541228221, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?\n yes", "output": ""}
32
+ {"perplexity": 33.66958429950723, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?\n yes", "output": ""}
33
+ {"perplexity": 26.504958509934433, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?\n yes", "output": ""}
34
+ {"perplexity": 40.04067723645637, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?\n yes", "output": ""}
35
+ {"perplexity": 41.3664943186072, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?\n yes", "output": ""}
36
+ {"perplexity": 32.59862455196962, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?\n yes", "output": ""}
37
+ {"perplexity": 36.11411370001227, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?\n yes", "output": ""}
38
+ {"perplexity": 30.226501201327306, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?\n yes", "output": ""}
39
+ {"perplexity": 27.7317298085135, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?\n yes", "output": ""}
40
+ {"perplexity": 32.15896317060449, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?\n yes", "output": ""}
41
+ {"perplexity": 30.019276734405153, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?\n yes", "output": ""}
42
+ {"perplexity": 29.240655286290373, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
43
+ {"perplexity": 34.6104726129955, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?\n yes", "output": ""}
44
+ {"perplexity": 30.57634203869133, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?\n yes", "output": ""}
45
+ {"perplexity": 34.84160589730495, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?\n yes", "output": ""}
46
+ {"perplexity": 31.931500726342797, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?\n yes", "output": ""}
47
+ {"perplexity": 30.56260353637137, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?\n yes", "output": ""}
48
+ {"perplexity": 29.102431122059357, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
49
+ {"perplexity": 32.1424214052897, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
50
+ {"perplexity": 30.921700989001508, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?\n yes", "output": ""}
51
+ {"perplexity": 29.758436137897405, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?\n yes", "output": ""}
52
+ {"perplexity": 34.64929423746825, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?\n yes", "output": ""}
53
+ {"perplexity": 35.58214127935818, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
54
+ {"perplexity": 28.78727976449275, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?\n yes", "output": ""}
55
+ {"perplexity": 30.821835127168992, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?\n yes", "output": ""}
56
+ {"perplexity": 36.97161060616988, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?\n yes", "output": ""}
57
+ {"perplexity": 31.05545771468835, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?\n yes", "output": ""}
58
+ {"perplexity": 32.38660968841631, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?\n yes", "output": ""}
59
+ {"perplexity": 34.04809539636818, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?\n yes", "output": ""}
60
+ {"perplexity": 34.78821695210687, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?\n yes", "output": ""}
61
+ {"perplexity": 33.711626222327524, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
62
+ {"perplexity": 29.98611450230995, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?\n yes", "output": ""}
63
+ {"perplexity": 38.152309899081835, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?\n yes", "output": ""}
64
+ {"perplexity": 33.12392474116246, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?\n yes", "output": ""}
65
+ {"perplexity": 35.27178703562321, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?\n yes", "output": ""}
66
+ {"perplexity": 30.38396247060593, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?\n yes", "output": ""}
67
+ {"perplexity": 28.99866996525707, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?\n yes", "output": ""}
68
+ {"perplexity": 32.123138538629995, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?\n yes", "output": ""}
69
+ {"perplexity": 33.53665587052731, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?\n yes", "output": ""}
70
+ {"perplexity": 32.81894360224794, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?\n yes", "output": ""}
71
+ {"perplexity": 33.35527653256194, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?\n yes", "output": ""}
72
+ {"perplexity": 40.28555413992281, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?\n yes", "output": ""}
73
+ {"perplexity": 32.33177896106762, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?\n yes", "output": ""}
74
+ {"perplexity": 39.10871600565298, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?\n yes", "output": ""}
75
+ {"perplexity": 29.032913585323037, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?\n yes", "output": ""}
76
+ {"perplexity": 33.35101425545783, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?\n yes", "output": ""}
77
+ {"perplexity": 42.90021341100544, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
78
+ {"perplexity": 34.44859760218496, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?\n yes", "output": ""}
79
+ {"perplexity": 29.635069905855126, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?\n yes", "output": ""}
80
+ {"perplexity": 33.79268503452518, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?\n yes", "output": ""}
81
+ {"perplexity": 30.533164912351978, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?\n yes", "output": ""}
82
+ {"perplexity": 38.76170577010744, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?\n yes", "output": ""}
83
+ {"perplexity": 39.38163342960592, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?\n yes", "output": ""}
84
+ {"perplexity": 34.08013478219247, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?\n yes", "output": ""}
85
+ {"perplexity": 37.63569941662822, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?\n yes", "output": ""}
86
+ {"perplexity": 33.5533871765014, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?\n yes", "output": ""}
87
+ {"perplexity": 34.72867444606146, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?\n yes", "output": ""}
88
+ {"perplexity": 33.64620844306274, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?\n yes", "output": ""}
89
+ {"perplexity": 39.02199425819314, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?\n yes", "output": ""}
experiments/results/lm_qa/opt-iml-max-1.3b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 22.54381778871709, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?\n yes", "output": ""}
2
+ {"perplexity": 26.95455392332131, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?\n yes", "output": ""}
3
+ {"perplexity": 25.990484337399476, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?\n yes", "output": ""}
4
+ {"perplexity": 23.469649471285525, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?\n yes", "output": ""}
5
+ {"perplexity": 23.905253661413806, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?\n yes", "output": ""}
6
+ {"perplexity": 25.477375498438757, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?\n yes", "output": ""}
7
+ {"perplexity": 26.116885617730414, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
8
+ {"perplexity": 22.43674755342198, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?\n yes", "output": ""}
9
+ {"perplexity": 29.14655214534452, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?\n yes", "output": ""}
10
+ {"perplexity": 21.569175184169385, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?\n yes", "output": ""}
11
+ {"perplexity": 30.0059530725932, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?\n yes", "output": ""}
12
+ {"perplexity": 26.81856065796881, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?\n yes", "output": ""}
13
+ {"perplexity": 19.94001885608783, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?\n yes", "output": ""}
14
+ {"perplexity": 25.373988997780273, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?\n yes", "output": ""}
15
+ {"perplexity": 27.468215264970773, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?\n yes", "output": ""}
16
+ {"perplexity": 29.897202710530376, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?\n yes", "output": ""}
17
+ {"perplexity": 30.33488714002449, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?\n yes", "output": ""}
18
+ {"perplexity": 26.900292119131393, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?\n yes", "output": ""}
19
+ {"perplexity": 24.02392496012094, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?\n yes", "output": ""}
20
+ {"perplexity": 25.815981254700308, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?\n yes", "output": ""}
21
+ {"perplexity": 27.141735471136034, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?\n yes", "output": ""}
22
+ {"perplexity": 27.301574383948328, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?\n yes", "output": ""}
23
+ {"perplexity": 24.708141786796467, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?\n yes", "output": ""}
24
+ {"perplexity": 24.176098620308796, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?\n yes", "output": ""}
25
+ {"perplexity": 23.971418859642466, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?\n yes", "output": ""}
26
+ {"perplexity": 23.187638164690497, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?\n yes", "output": ""}
27
+ {"perplexity": 25.324617661453598, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?\n yes", "output": ""}
28
+ {"perplexity": 26.161132987910012, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?\n yes", "output": ""}
29
+ {"perplexity": 29.055813619621354, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?\n yes", "output": ""}
30
+ {"perplexity": 28.787911206272973, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?\n yes", "output": ""}
31
+ {"perplexity": 25.410391512680157, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?\n yes", "output": ""}
32
+ {"perplexity": 25.806344308869313, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?\n yes", "output": ""}
33
+ {"perplexity": 25.28657152806523, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?\n yes", "output": ""}
34
+ {"perplexity": 24.674033591653313, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?\n yes", "output": ""}
35
+ {"perplexity": 25.072364745860646, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?\n yes", "output": ""}
36
+ {"perplexity": 24.784132940221028, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?\n yes", "output": ""}
37
+ {"perplexity": 25.66608814847428, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?\n yes", "output": ""}
38
+ {"perplexity": 23.84015208407489, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?\n yes", "output": ""}
39
+ {"perplexity": 21.23551023159626, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?\n yes", "output": ""}
40
+ {"perplexity": 25.424456740162956, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?\n yes", "output": ""}
41
+ {"perplexity": 23.889932734292643, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?\n yes", "output": ""}
42
+ {"perplexity": 28.531926090672787, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?\n yes", "output": ""}
43
+ {"perplexity": 27.007231664587596, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?\n yes", "output": ""}
44
+ {"perplexity": 26.676313713619248, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?\n yes", "output": ""}
45
+ {"perplexity": 24.36853175564834, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?\n yes", "output": ""}
46
+ {"perplexity": 27.152317772267384, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?\n yes", "output": ""}
47
+ {"perplexity": 26.826496839498414, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?\n yes", "output": ""}
48
+ {"perplexity": 26.43637583703787, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?\n yes", "output": ""}
49
+ {"perplexity": 28.407439846059795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?\n yes", "output": ""}
50
+ {"perplexity": 26.795877796792883, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?\n yes", "output": ""}
51
+ {"perplexity": 25.386738771182493, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?\n yes", "output": ""}
52
+ {"perplexity": 27.21559979801289, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?\n yes", "output": ""}
53
+ {"perplexity": 25.42542056282462, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?\n yes", "output": ""}
54
+ {"perplexity": 28.080278876423545, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?\n yes", "output": ""}
55
+ {"perplexity": 26.143456216656727, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?\n yes", "output": ""}
56
+ {"perplexity": 30.512381240844487, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?\n yes", "output": ""}
57
+ {"perplexity": 25.314252778587296, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?\n yes", "output": ""}
58
+ {"perplexity": 26.41087391223939, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?\n yes", "output": ""}
59
+ {"perplexity": 23.526911846105808, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?\n yes", "output": ""}
60
+ {"perplexity": 23.448602669365254, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?\n yes", "output": ""}
61
+ {"perplexity": 25.454965194206544, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?\n yes", "output": ""}
62
+ {"perplexity": 25.81319318592908, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?\n yes", "output": ""}
63
+ {"perplexity": 27.30834479396797, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?\n yes", "output": ""}
64
+ {"perplexity": 27.453065213877128, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?\n yes", "output": ""}
65
+ {"perplexity": 28.66888962368093, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?\n yes", "output": ""}
66
+ {"perplexity": 27.695798357676196, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?\n yes", "output": ""}
67
+ {"perplexity": 23.81392947142474, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?\n yes", "output": ""}
68
+ {"perplexity": 24.499909743221433, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?\n yes", "output": ""}
69
+ {"perplexity": 29.41363323890236, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?\n yes", "output": ""}
70
+ {"perplexity": 30.789423258814264, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?\n yes", "output": ""}
71
+ {"perplexity": 24.12478411080373, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?\n yes", "output": ""}
72
+ {"perplexity": 27.230086440947876, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?\n yes", "output": ""}
73
+ {"perplexity": 26.95853862701951, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?\n yes", "output": ""}
74
+ {"perplexity": 24.410073125685614, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?\n yes", "output": ""}
75
+ {"perplexity": 27.42610519344762, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?\n yes", "output": ""}
76
+ {"perplexity": 24.30095179719976, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
77
+ {"perplexity": 28.30839050796211, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?\n yes", "output": ""}
78
+ {"perplexity": 30.083251027602795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?\n yes", "output": ""}
79
+ {"perplexity": 27.68944021285537, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?\n yes", "output": ""}
80
+ {"perplexity": 26.671696659701087, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?\n yes", "output": ""}
81
+ {"perplexity": 27.555020715989492, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?\n yes", "output": ""}
82
+ {"perplexity": 21.767875368773137, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?\n yes", "output": ""}
83
+ {"perplexity": 25.240114211513152, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?\n yes", "output": ""}
84
+ {"perplexity": 29.51335499564817, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?\n yes", "output": ""}
85
+ {"perplexity": 29.798542592030067, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?\n yes", "output": ""}
86
+ {"perplexity": 29.118866271796545, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?\n yes", "output": ""}
87
+ {"perplexity": 25.802616034772605, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?\n yes", "output": ""}
88
+ {"perplexity": 27.760658111086492, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?\n yes", "output": ""}
89
+ {"perplexity": 25.621266945186143, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?\n yes", "output": ""}
90
+ {"perplexity": 23.359747013572143, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?\n yes", "output": ""}
91
+ {"perplexity": 22.85513689338662, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?\n yes", "output": ""}
92
+ {"perplexity": 25.634110411104206, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?\n yes", "output": ""}