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relentless

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  1. experiments/results/lm_lc/lm.csv +1 -0
  2. experiments/results/lm_lc/opt-6.7b/ppl.competitor__rival_of.jsonl +89 -0
  3. experiments/results/lm_lc/opt-6.7b/ppl.friend__ally_of.jsonl +92 -0
  4. experiments/results/lm_lc/opt-6.7b/ppl.influenced_by.jsonl +93 -0
  5. experiments/results/lm_lc/opt-6.7b/ppl.known_for.jsonl +108 -0
  6. experiments/results/lm_lc/opt-6.7b/ppl.similar_to.jsonl +93 -0
  7. experiments/results/lm_qa/lm.csv +2 -0
  8. experiments/results/lm_qa/opt-6.7b/ppl.competitor__rival_of.jsonl +89 -0
  9. experiments/results/lm_qa/opt-6.7b/ppl.friend__ally_of.jsonl +92 -0
  10. experiments/results/lm_qa/opt-6.7b/ppl.influenced_by.jsonl +93 -0
  11. experiments/results/lm_qa/opt-6.7b/ppl.known_for.jsonl +108 -0
  12. experiments/results/lm_qa/opt-6.7b/ppl.similar_to.jsonl +93 -0
experiments/results/lm_lc/lm.csv CHANGED
@@ -7,6 +7,7 @@ T5 extsubscript{XL},0.5446721421811761,0.36070079168059405,0.5455346746040511,0.
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
 
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{6.7B},0.7080054980914848,0.42069408377401935,0.5996118917215304,0.6223886893435421,0.5280282738485872,0.5757456873558329
11
  OPT extsubscript{2.7B},0.6617839082166836,0.4307367076820927,0.5980792179334641,0.588005105364532,0.4801860336326363,0.5517581945658818
12
  OPT extsubscript{1.3B},0.6174316679600876,0.3921023243923869,0.5616838228100176,0.48487821765846983,0.47457379958043716,0.5061339664802799
13
  OPT extsubscript{350M},0.48169469248657154,0.3571499792303913,0.5061636493945053,0.40226502289268884,0.272974281569549,0.40404952511474124
experiments/results/lm_lc/opt-6.7b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.265734949362988, "input": "Complete the following list with examples of entities that 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": 14.400879153569615, "input": "Complete the following list with examples of entities that 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": 9.85834354656904, "input": "Complete the following list with examples of entities that 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": 9.850782820696681, "input": "Complete the following list with examples of entities that 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": 10.740716453315462, "input": "Complete the following list with examples of entities that 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": 9.921791743807532, "input": "Complete the following list with examples of entities that 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": 11.489692825579718, "input": "Complete the following list with examples of entities that 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": 8.916127191756381, "input": "Complete the following list with examples of entities that 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": 10.243398541523874, "input": "Complete the following list with examples of entities that 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": 11.572054996460485, "input": "Complete the following list with examples of entities that 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": 10.251590567521859, "input": "Complete the following list with examples of entities that 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": 9.711272229199757, "input": "Complete the following list with examples of entities that 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": 9.757815390991528, "input": "Complete the following list with examples of entities that 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": 10.849151208611344, "input": "Complete the following list with examples of entities that 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": 11.214891877108656, "input": "Complete the following list with examples of entities that 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": 9.796335718690903, "input": "Complete the following list with examples of entities that 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": 9.730074824274768, "input": "Complete the following list with examples of entities that 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": 9.80203864705238, "input": "Complete the following list with examples of entities that 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": 12.04440808001012, "input": "Complete the following list with examples of entities that 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": 11.184936832282434, "input": "Complete the following list with examples of entities that 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": 10.627460121611405, "input": "Complete the following list with examples of entities that 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": 12.927168457531645, "input": "Complete the following list with examples of entities that 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": 10.553753220186557, "input": "Complete the following list with examples of entities that 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": 10.570579940940315, "input": "Complete the following list with examples of entities that 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": 11.037488999423976, "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* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 11.118215876008723, "input": "Complete the following list with examples of entities that 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": 9.798846841053088, "input": "Complete the following list with examples of entities that 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": 10.405723242581344, "input": "Complete the following list with examples of entities that 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": 9.431202069977738, "input": "Complete the following list with examples of entities that 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": 10.424463583954466, "input": "Complete the following list with examples of entities that 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": 10.824626590097413, "input": "Complete the following list with examples of entities that 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": 11.974124519627114, "input": "Complete the following list with examples of entities that 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": 8.824729451110528, "input": "Complete the following list with examples of entities that 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": 12.704677757243918, "input": "Complete the following list with examples of entities that 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": 13.461615104888635, "input": "Complete the following list with examples of entities that 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": 11.279775043827973, "input": "Complete the following list with examples of entities that 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": 12.967263609112445, "input": "Complete the following list with examples of entities that 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": 9.058859411647676, "input": "Complete the following list with examples of entities that 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": 8.695712728434643, "input": "Complete the following list with examples of entities that 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": 9.8152398265887, "input": "Complete the following list with examples of entities that 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": 10.19495729479453, "input": "Complete the following list with examples of entities that 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": 9.067228181801342, "input": "Complete the following list with examples of entities that 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": 10.840373121581813, "input": "Complete the following list with examples of entities that 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": 9.922196259306178, "input": "Complete the following list with examples of entities that 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": 10.573289527507496, "input": "Complete the following list with examples of entities that 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": 10.650618765277768, "input": "Complete the following list with examples of entities that 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": 9.805600864083644, "input": "Complete the following list with examples of entities that 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": 9.904552492859438, "input": "Complete the following list with examples of entities that 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": 9.667119663799983, "input": "Complete the following list with examples of entities that 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": 10.111713224478317, "input": "Complete the following list with examples of entities that 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": 9.229093666492021, "input": "Complete the following list with examples of entities that 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": 10.54214980675367, "input": "Complete the following list with examples of entities that 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": 10.208135159291823, "input": "Complete the following list with examples of entities that 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": 10.709277686704363, "input": "Complete the following list with examples of entities that 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": 9.355592677692943, "input": "Complete the following list with examples of entities that 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": 10.740811202828525, "input": "Complete the following list with examples of entities that 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": 10.034018393825335, "input": "Complete the following list with examples of entities that 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": 10.101766253949759, "input": "Complete the following list with examples of entities that 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": 11.123555847478412, "input": "Complete the following list with examples of entities that 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": 10.93405967281721, "input": "Complete the following list with examples of entities that 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": 10.338586323788398, "input": "Complete the following list with examples of entities that 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": 10.137302655176157, "input": "Complete the following list with examples of entities that 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": 11.261666349171056, "input": "Complete the following list with examples of entities that 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": 11.498130400029869, "input": "Complete the following list with examples of entities that 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": 10.510457763499701, "input": "Complete the following list with examples of entities that 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": 9.28972117405573, "input": "Complete the following list with examples of entities that 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": 9.36938538543738, "input": "Complete the following list with examples of entities that 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": 9.926869490446721, "input": "Complete the following list with examples of entities that 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": 10.648442802865363, "input": "Complete the following list with examples of entities that 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": 9.782945378107607, "input": "Complete the following list with examples of entities that 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": 10.071554181201812, "input": "Complete the following list with examples of entities that 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": 13.247184735548144, "input": "Complete the following list with examples of entities that 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": 9.983779568066725, "input": "Complete the following list with examples of entities that 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": 12.152550232329379, "input": "Complete the following list with examples of entities that 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": 8.837741628043997, "input": "Complete the following list with examples of entities that 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": 10.032236291276128, "input": "Complete the following list with examples of entities that 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": 15.63377684307259, "input": "Complete the following list with examples of entities that 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": 10.598391838187641, "input": "Complete the following list with examples of entities that 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": 9.87874976286599, "input": "Complete the following list with examples of entities that 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": 11.302589970736285, "input": "Complete the following list with examples of entities that 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": 9.50834286059107, "input": "Complete the following list with examples of entities that 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": 12.546525075768457, "input": "Complete the following list with examples of entities that 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": 13.256050100836067, "input": "Complete the following list with examples of entities that 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": 10.71152226448034, "input": "Complete the following list with examples of entities that 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": 12.06978247842015, "input": "Complete the following list with examples of entities that 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": 11.071372010122753, "input": "Complete the following list with examples of entities that 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": 10.267871875858267, "input": "Complete the following list with examples of entities that 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": 9.631676724650864, "input": "Complete the following list with examples of entities that 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": 11.843292854385995, "input": "Complete the following list with examples of entities that 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-6.7b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 8.93730371522916, "input": "Complete the following list with examples of entities 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": 9.27768024312297, "input": "Complete the following list with examples of entities 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": 8.89624156066422, "input": "Complete the following list with examples of entities 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": 8.775252626823264, "input": "Complete the following list with examples of entities 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": 9.007477168496147, "input": "Complete the following list with examples of entities 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": 9.115119087406088, "input": "Complete the following list with examples of entities 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": 9.895488753908136, "input": "Complete the following list with examples of entities 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": 8.445877363007046, "input": "Complete the following list with examples of entities 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": 11.05224865455689, "input": "Complete the following list with examples of entities 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": 8.208114855761831, "input": "Complete the following list with examples of entities 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": 11.706980518226578, "input": "Complete the following list with examples of entities 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": 9.991170811422974, "input": "Complete the following list with examples of entities 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": 7.8100181335814005, "input": "Complete the following list with examples of entities 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": 9.549541010245635, "input": "Complete the following list with examples of entities 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": 10.094476102925826, "input": "Complete the following list with examples of entities 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": 11.112375071274446, "input": "Complete the following list with examples of entities 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": 12.348702499437136, "input": "Complete the following list with examples of entities 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": 9.73487341685976, "input": "Complete the following list with examples of entities 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": 9.236974416161383, "input": "Complete the following list with examples of entities 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": 9.390386837328647, "input": "Complete the following list with examples of entities 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": 11.166176371534869, "input": "Complete the following list with examples of entities 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": 9.744259318361223, "input": "Complete the following list with examples of entities 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": 9.555722212487689, "input": "Complete the following list with examples of entities 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": 9.442706038241218, "input": "Complete the following list with examples of entities 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": 8.694653377816602, "input": "Complete the following list with examples of entities 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": 8.60721055323888, "input": "Complete the following list with examples of entities 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": 9.050144492185948, "input": "Complete the following list with examples of entities 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": 9.54926324614948, "input": "Complete the following list with examples of entities 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": 11.35090737451489, "input": "Complete the following list with examples of entities 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": 11.11566875936659, "input": "Complete the following list with examples of entities 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": 9.43363309151274, "input": "Complete the following list with examples of entities 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": 9.449575050928765, "input": "Complete the following list with examples of entities 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": 9.697535733986522, "input": "Complete the following list with examples of entities 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": 9.222879664992504, "input": "Complete the following list with examples of entities 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": 9.674484065536976, "input": "Complete the following list with examples of entities 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": 9.118925179077902, "input": "Complete the following list with examples of entities 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": 9.662782963821295, "input": "Complete the following list with examples of entities 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": 8.77038337562389, "input": "Complete the following list with examples of entities 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": 7.731647274434964, "input": "Complete the following list with examples of entities 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": 9.2404568554999, "input": "Complete the following list with examples of entities 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": 8.727278672819573, "input": "Complete the following list with examples of entities 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": 10.8017179471284, "input": "Complete the following list with examples of entities 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": 9.861860390457446, "input": "Complete the following list with examples of entities 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": 9.970629834617462, "input": "Complete the following list with examples of entities 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": 9.29149764727385, "input": "Complete the following list with examples of entities 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": 9.782558201403942, "input": "Complete the following list with examples of entities 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": 10.597125960177326, "input": "Complete the following list with examples of entities 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": 9.095667875817812, "input": "Complete the following list with examples of entities 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": 10.138590956081416, "input": "Complete the following list with examples of entities 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": 9.820483130171096, "input": "Complete the following list with examples of entities 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": 9.862937322094183, "input": "Complete the following list with examples of entities 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": 9.38391209865109, "input": "Complete the following list with examples of entities 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": 9.469674725460258, "input": "Complete the following list with examples of entities 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": 10.132030304445212, "input": "Complete the following list with examples of entities 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": 9.46562068097155, "input": "Complete the following list with examples of entities 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": 10.654263291932711, "input": "Complete the following list with examples of entities 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": 9.22700353517743, "input": "Complete the following list with examples of entities 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": 9.837261768449839, "input": "Complete the following list with examples of entities 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": 8.68392203726426, "input": "Complete the following list with examples of entities 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": 8.576181122113711, "input": "Complete the following list with examples of entities 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": 9.600565329646276, "input": "Complete the following list with examples of entities 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": 11.043877601113813, "input": "Complete the following list with examples of entities 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": 9.754903117180326, "input": "Complete the following list with examples of entities 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": 11.180654937128574, "input": "Complete the following list with examples of entities 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": 9.932596310252856, "input": "Complete the following list with examples of entities 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": 10.017393759610407, "input": "Complete the following list with examples of entities 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": 8.912813731575685, "input": "Complete the following list with examples of entities 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": 9.157717686433708, "input": "Complete the following list with examples of entities 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": 11.65842317757636, "input": "Complete the following list with examples of entities 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": 10.59421324641703, "input": "Complete the following list with examples of entities 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": 10.128844544220732, "input": "Complete the following list with examples of entities 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": 10.143576506540516, "input": "Complete the following list with examples of entities 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": 9.646113333741217, "input": "Complete the following list with examples of entities 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": 9.985636389174799, "input": "Complete the following list with examples of entities 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": 9.706804636043818, "input": "Complete the following list with examples of entities 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": 9.553731219197878, "input": "Complete the following list with examples of entities 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": 10.029026913153956, "input": "Complete the following list with examples of entities 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": 11.528157362674941, "input": "Complete the following list with examples of entities 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": 10.17932551673962, "input": "Complete the following list with examples of entities 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": 9.440360457760208, "input": "Complete the following list with examples of entities 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": 9.484295878272306, "input": "Complete the following list with examples of entities 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": 8.342885817317127, "input": "Complete the following list with examples of entities 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": 9.605215319219713, "input": "Complete the following list with examples of entities 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": 10.923058950523858, "input": "Complete the following list with examples of entities 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": 10.748234991542194, "input": "Complete the following list with examples of entities 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": 11.531535797176907, "input": "Complete the following list with examples of entities 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": 11.011173417232541, "input": "Complete the following list with examples of entities 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": 9.725313377419624, "input": "Complete the following list with examples of entities 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": 9.050390475904134, "input": "Complete the following list with examples of entities 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": 9.024353372538949, "input": "Complete the following list with examples of entities 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": 8.883556253178165, "input": "Complete the following list with examples of entities 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": 9.70315338503817, "input": "Complete the following list with examples of entities 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-6.7b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.173481625788066, "input": "Complete the following list with examples 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": 12.72531918084175, "input": "Complete the following list with examples 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": 10.534564448421374, "input": "Complete the following list with examples 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": 12.794480321942038, "input": "Complete the following list with examples 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": 9.713687437161271, "input": "Complete the following list with examples 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": 10.836039703710368, "input": "Complete the following list with examples 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": 10.50983381580758, "input": "Complete the following list with examples 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": 11.247514608533109, "input": "Complete the following list with examples 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": 14.38365703877888, "input": "Complete the following list with examples 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": 12.286306103218761, "input": "Complete the following list with examples 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": 11.075091860579512, "input": "Complete the following list with examples 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": 11.139923145868904, "input": "Complete the following list with examples 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": 10.823374978298533, "input": "Complete the following list with examples 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": 12.024335037163382, "input": "Complete the following list with examples 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": 11.929264798414794, "input": "Complete the following list with examples 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": 12.411534142786733, "input": "Complete the following list with examples 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": 11.211723825933618, "input": "Complete the following list with examples 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": 10.674448833444337, "input": "Complete the following list with examples 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": 11.591588580079902, "input": "Complete the following list with examples 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": 10.550932924730192, "input": "Complete the following list with examples 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": 10.943114517727375, "input": "Complete the following list with examples 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": 11.474644447598314, "input": "Complete the following list with examples 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": 10.320221811858769, "input": "Complete the following list with examples 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": 11.311877189186134, "input": "Complete the following list with examples 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": 12.576060228934475, "input": "Complete the following list with examples 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": 11.74259397750203, "input": "Complete the following list with examples 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": 11.898315067040421, "input": "Complete the following list with examples 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": 11.06191828737003, "input": "Complete the following list with examples 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": 9.573901786095936, "input": "Complete the following list with examples 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": 11.229339904108777, "input": "Complete the following list with examples 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": 11.282036978566998, "input": "Complete the following list with examples 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": 10.259221659832752, "input": "Complete the following list with examples 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": 11.698292066521475, "input": "Complete the following list with examples 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": 12.402967430204573, "input": "Complete the following list with examples 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": 13.50995007360771, "input": "Complete the following list with examples 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": 11.560575007075004, "input": "Complete the following list with examples 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": 12.869170975475395, "input": "Complete the following list with examples 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": 10.759495732860682, "input": "Complete the following list with examples 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": 10.621317471456837, "input": "Complete the following list with examples 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": 11.368842430242333, "input": "Complete the following list with examples 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": 10.5503644283598, "input": "Complete the following list with examples 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": 12.441866826443686, "input": "Complete the following list with examples 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": 12.25057403469471, "input": "Complete the following list with examples 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": 10.793680757687246, "input": "Complete the following list with examples 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": 12.938999798402076, "input": "Complete the following list with examples 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": 12.410480733533296, "input": "Complete the following list with examples 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": 10.479580544551483, "input": "Complete the following list with examples 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": 9.408182327730454, "input": "Complete the following list with examples 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": 11.032471788642662, "input": "Complete the following list with examples 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": 10.941674421411399, "input": "Complete the following list with examples 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": 11.521474882810526, "input": "Complete the following list with examples 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": 10.808815312625757, "input": "Complete the following list with examples 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": 12.217666248273922, "input": "Complete the following list with examples 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": 11.688707103361413, "input": "Complete the following list with examples 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": 11.148959744856237, "input": "Complete the following list with examples 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": 10.816255158535526, "input": "Complete the following list with examples 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": 15.63580467085042, "input": "Complete the following list with examples 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": 11.778428102736978, "input": "Complete the following list with examples 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": 11.994010796769054, "input": "Complete the following list with examples 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": 10.813882926222584, "input": "Complete the following list with examples 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": 11.905846261972796, "input": "Complete the following list with examples 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": 12.11849571180594, "input": "Complete the following list with examples 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": 11.385980547125031, "input": "Complete the following list with examples 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": 11.567826233174594, "input": "Complete the following list with examples 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": 11.868215259873995, "input": "Complete the following list with examples 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": 10.169920616469984, "input": "Complete the following list with examples 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": 12.570364622893347, "input": "Complete the following list with examples 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": 12.225854292124513, "input": "Complete the following list with examples 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": 9.79535480385824, "input": "Complete the following list with examples 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": 11.258412610826198, "input": "Complete the following list with examples 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": 12.19504509933064, "input": "Complete the following list with examples 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": 10.380710968118684, "input": "Complete the following list with examples 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": 13.048888218730585, "input": "Complete the following list with examples 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": 11.71418393056538, "input": "Complete the following list with examples 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": 11.020754562066331, "input": "Complete the following list with examples 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": 12.272481809095895, "input": "Complete the following list with examples 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": 10.426019551573718, "input": "Complete the following list with examples 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": 10.506857418648526, "input": "Complete the following list with examples 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": 10.857892395388795, "input": "Complete the following list with examples 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": 10.07206085677565, "input": "Complete the following list with examples 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": 11.423847302947985, "input": "Complete the following list with examples 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": 12.825565419445494, "input": "Complete the following list with examples 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": 11.314604146092359, "input": "Complete the following list with examples 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": 10.819089626874389, "input": "Complete the following list with examples 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": 10.903232503140464, "input": "Complete the following list with examples 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": 11.290758142477284, "input": "Complete the following list with examples 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": 11.030336154221116, "input": "Complete the following list with examples 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": 11.49382451748617, "input": "Complete the following list with examples 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": 10.793976704357776, "input": "Complete the following list with examples 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": 13.191487351436834, "input": "Complete the following list with examples 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": 9.844206561178005, "input": "Complete the following list with examples 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": 11.337457082973154, "input": "Complete the following list with examples 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": 11.048815702793494, "input": "Complete the following list with examples 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-6.7b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 8.44308287355249, "input": "Complete the following list with examples of what entities 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": 7.439653349791946, "input": "Complete the following list with examples of what entities 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": 9.391369740705493, "input": "Complete the following list with examples of what entities 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": 10.450727375174178, "input": "Complete the following list with examples of what entities 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": 8.460301388061342, "input": "Complete the following list with examples of what entities 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": 8.978673136095445, "input": "Complete the following list with examples of what entities 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": 8.364547330299672, "input": "Complete the following list with examples of what entities 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": 7.081772152514635, "input": "Complete the following list with examples of what entities 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": 9.16081641266322, "input": "Complete the following list with examples of what entities 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": 10.15176131194777, "input": "Complete the following list with examples of what entities 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": 9.660742024123595, "input": "Complete the following list with examples of what entities 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": 9.0255002340873, "input": "Complete the following list with examples of what entities 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": 8.405638021379268, "input": "Complete the following list with examples of what entities 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": 8.508128213090641, "input": "Complete the following list with examples of what entities 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": 8.919828926198555, "input": "Complete the following list with examples of what entities 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": 8.161449104769604, "input": "Complete the following list with examples of what entities 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": 8.22340124352069, "input": "Complete the following list with examples of what entities 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": 10.52702219545477, "input": "Complete the following list with examples of what entities 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": 7.479172475404489, "input": "Complete the following list with examples of what entities 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": 8.415658278335771, "input": "Complete the following list with examples of what entities 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": 7.535173025631998, "input": "Complete the following list with examples of what entities 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": 8.437673695759786, "input": "Complete the following list with examples of what entities 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": 9.166413808842366, "input": "Complete the following list with examples of what entities 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": 8.962363123180035, "input": "Complete the following list with examples of what entities 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": 7.193810932225784, "input": "Complete the following list with examples of what entities 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": 7.921613105916876, "input": "Complete the following list with examples of what entities 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": 8.529407329609887, "input": "Complete the following list with examples of what entities 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": 8.783422218604938, "input": "Complete the following list with examples of what entities 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": 10.516232916434296, "input": "Complete the following list with examples of what entities 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": 8.82538170884591, "input": "Complete the following list with examples of what entities 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": 9.407673161108898, "input": "Complete the following list with examples of what entities 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": 9.364309252797662, "input": "Complete the following list with examples of what entities 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": 8.541892405226776, "input": "Complete the following list with examples of what entities 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": 8.1566734626417, "input": "Complete the following list with examples of what entities 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": 8.389916860202726, "input": "Complete the following list with examples of what entities 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": 9.224605967637633, "input": "Complete the following list with examples of what entities 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": 8.431138209067878, "input": "Complete the following list with examples of what entities 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": 7.118844536716317, "input": "Complete the following list with examples of what entities 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": 7.571877110862506, "input": "Complete the following list with examples of what entities 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": 9.153622600120832, "input": "Complete the following list with examples of what entities 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": 8.195347757123582, "input": "Complete the following list with examples of what entities 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": 7.985111801708583, "input": "Complete the following list with examples of what entities 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": 9.224557582780681, "input": "Complete the following list with examples of what entities 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": 8.807512572158485, "input": "Complete the following list with examples of what entities 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": 11.613358924251305, "input": "Complete the following list with examples of what entities 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": 7.787157709102517, "input": "Complete the following list with examples of what entities 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": 8.09556758343489, "input": "Complete the following list with examples of what entities 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": 8.468518979242296, "input": "Complete the following list with examples of what entities 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": 7.755080588608777, "input": "Complete the following list with examples of what entities 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": 9.0511155194407, "input": "Complete the following list with examples of what entities 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": 8.729205655749588, "input": "Complete the following list with examples of what entities 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": 10.110069178699971, "input": "Complete the following list with examples of what entities 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": 9.560858794451308, "input": "Complete the following list with examples of what entities 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": 8.492681057543347, "input": "Complete the following list with examples of what entities 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": 8.892804036517889, "input": "Complete the following list with examples of what entities 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": 8.745906630756101, "input": "Complete the following list with examples of what entities 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": 7.309748128934743, "input": "Complete the following list with examples of what entities 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": 8.311366571782042, "input": "Complete the following list with examples of what entities 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": 8.927262547366997, "input": "Complete the following list with examples of what entities 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": 9.011360775704716, "input": "Complete the following list with examples of what entities 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": 9.436255968932066, "input": "Complete the following list with examples of what entities 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": 8.534026815703085, "input": "Complete the following list with examples of what entities 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": 8.85535328587062, "input": "Complete the following list with examples of what entities 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": 8.315235524378934, "input": "Complete the following list with examples of what entities 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": 9.010125486776602, "input": "Complete the following list with examples of what entities 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": 8.247011427320533, "input": "Complete the following list with examples of what entities 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": 8.375221450615388, "input": "Complete the following list with examples of what entities 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": 8.03288529178121, "input": "Complete the following list with examples of what entities 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": 7.587577605567339, "input": "Complete the following list with examples of what entities 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": 8.032854648814098, "input": "Complete the following list with examples of what entities 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": 7.923904381487061, "input": "Complete the following list with examples of what entities 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": 8.288079971814504, "input": "Complete the following list with examples of what entities 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": 9.153125027882606, "input": "Complete the following list with examples of what entities 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": 7.731285982678592, "input": "Complete the following list with examples of what entities 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": 9.257721006170774, "input": "Complete the following list with examples of what entities 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": 8.405994751677447, "input": "Complete the following list with examples of what entities 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": 7.908522301782145, "input": "Complete the following list with examples of what entities 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": 8.681812547411504, "input": "Complete the following list with examples of what entities 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": 9.34901487717917, "input": "Complete the following list with examples of what entities 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": 7.779048578800495, "input": "Complete the following list with examples of what entities 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": 8.134766689294656, "input": "Complete the following list with examples of what entities 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": 7.97922932678606, "input": "Complete the following list with examples of what entities 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": 8.15056160896294, "input": "Complete the following list with examples of what entities 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": 8.771700818639657, "input": "Complete the following list with examples of what entities 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": 8.462060476040223, "input": "Complete the following list with examples of what entities 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": 8.421683795173239, "input": "Complete the following list with examples of what entities 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": 8.194630698692738, "input": "Complete the following list with examples of what entities 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": 8.21629513779182, "input": "Complete the following list with examples of what entities 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": 9.548111294418536, "input": "Complete the following list with examples of what entities 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": 9.250570192973672, "input": "Complete the following list with examples of what entities 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": 7.058853477839985, "input": "Complete the following list with examples of what entities 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": 7.091238725292752, "input": "Complete the following list with examples of what entities 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": 8.720132159325725, "input": "Complete the following list with examples of what entities 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": 8.241934191003605, "input": "Complete the following list with examples of what entities 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": 7.405330854854291, "input": "Complete the following list with examples of what entities 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": 9.301946280163556, "input": "Complete the following list with examples of what entities 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": 7.551830827845214, "input": "Complete the following list with examples of what entities 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": 8.622444584779926, "input": "Complete the following list with examples of what entities 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": 8.415120567105369, "input": "Complete the following list with examples of what entities 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": 9.321022999333799, "input": "Complete the following list with examples of what entities 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": 8.248456740902073, "input": "Complete the following list with examples of what entities 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": 9.123998814725223, "input": "Complete the following list with examples of what entities 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": 7.967739522631707, "input": "Complete the following list with examples of what entities 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": 8.47151982245681, "input": "Complete the following list with examples of what entities 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": 7.967072770876022, "input": "Complete the following list with examples of what entities 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": 7.788227185907897, "input": "Complete the following list with examples of what entities 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": 8.679244174776251, "input": "Complete the following list with examples of what entities 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": 7.475027745477515, "input": "Complete the following list with examples of what entities 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-6.7b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 7.25793332502648, "input": "Complete the following list with examples of entities that 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": 7.385418227652741, "input": "Complete the following list with examples of entities that 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": 7.697574176402895, "input": "Complete the following list with examples of entities that 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": 7.36996648290447, "input": "Complete the following list with examples of entities that 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": 7.214535585133991, "input": "Complete the following list with examples of entities that 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": 6.706927198603821, "input": "Complete the following list with examples of entities that 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": 6.202058885497661, "input": "Complete the following list with examples of entities that 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": 8.15998790892346, "input": "Complete the following list with examples of entities that 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": 8.366559784213019, "input": "Complete the following list with examples of entities that 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": 7.275057025424669, "input": "Complete the following list with examples of entities that 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": 6.478881687701889, "input": "Complete the following list with examples of entities that 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": 6.372416658256047, "input": "Complete the following list with examples of entities that 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": 7.272221656273626, "input": "Complete the following list with examples of entities that 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": 6.865597625558405, "input": "Complete the following list with examples of entities that 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": 7.463158911802114, "input": "Complete the following list with examples of entities that 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": 6.7260535439481615, "input": "Complete the following list with examples of entities that 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": 7.132826739361802, "input": "Complete the following list with examples of entities that 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": 8.187756375906643, "input": "Complete the following list with examples of entities that 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": 6.817745476924694, "input": "Complete the following list with examples of entities that 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": 7.8434874348086785, "input": "Complete the following list with examples of entities that 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": 6.7703971450729785, "input": "Complete the following list with examples of entities that 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": 6.64037270227615, "input": "Complete the following list with examples of entities that 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": 8.73029419372984, "input": "Complete the following list with examples of entities that 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": 6.4439827082365095, "input": "Complete the following list with examples of entities that 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": 6.813319114572071, "input": "Complete the following list with examples of entities that 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": 7.759948566155866, "input": "Complete the following list with examples of entities that 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": 6.512089197453156, "input": "Complete the following list with examples of entities that 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": 7.112219802048935, "input": "Complete the following list with examples of entities that 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": 6.803179715494034, "input": "Complete the following list with examples of entities that 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": 6.6643918405343205, "input": "Complete the following list with examples of entities that 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": 6.029225617304884, "input": "Complete the following list with examples of entities that 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": 7.004069663816745, "input": "Complete the following list with examples of entities that 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": 7.077531252386626, "input": "Complete the following list with examples of entities that 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": 7.963920227804201, "input": "Complete the following list with examples of entities that 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": 8.337369880987707, "input": "Complete the following list with examples of entities that 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": 9.229984866414584, "input": "Complete the following list with examples of entities that 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": 6.498868247911484, "input": "Complete the following list with examples of entities that 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": 7.088872163991915, "input": "Complete the following list with examples of entities that 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": 7.130485399697452, "input": "Complete the following list with examples of entities that 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": 7.724387813298188, "input": "Complete the following list with examples of entities that 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": 6.586301774052817, "input": "Complete the following list with examples of entities that 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": 6.6726068224928, "input": "Complete the following list with examples of entities that 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": 7.003718993524674, "input": "Complete the following list with examples of entities that 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": 6.7969589303119555, "input": "Complete the following list with examples of entities that 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": 6.554589279910034, "input": "Complete the following list with examples of entities that 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": 6.602528763237321, "input": "Complete the following list with examples of entities that 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": 7.469090080719111, "input": "Complete the following list with examples of entities that 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": 6.727257967485189, "input": "Complete the following list with examples of entities that 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": 7.656201887440599, "input": "Complete the following list with examples of entities that 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": 7.677605132149355, "input": "Complete the following list with examples of entities that 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": 8.36360808493354, "input": "Complete the following list with examples of entities that 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": 5.87968792724861, "input": "Complete the following list with examples of entities that 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": 7.692196953227686, "input": "Complete the following list with examples of entities that 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": 6.490235023587971, "input": "Complete the following list with examples of entities that 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": 6.6993463637543424, "input": "Complete the following list with examples of entities that 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": 6.766507261653193, "input": "Complete the following list with examples of entities that 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": 7.052500632981906, "input": "Complete the following list with examples of entities that 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": 7.0311944762947105, "input": "Complete the following list with examples of entities that 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": 6.539831033436711, "input": "Complete the following list with examples of entities that 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": 6.173670438471978, "input": "Complete the following list with examples of entities that 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": 6.748867505853362, "input": "Complete the following list with examples of entities that 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": 6.866596198649198, "input": "Complete the following list with examples of entities that 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": 8.002136561435588, "input": "Complete the following list with examples of entities that 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": 6.281449136045349, "input": "Complete the following list with examples of entities that 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": 6.824747562207759, "input": "Complete the following list with examples of entities that 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": 6.702838060278486, "input": "Complete the following list with examples of entities that 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": 6.548349903053902, "input": "Complete the following list with examples of entities that 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": 6.186507850187781, "input": "Complete the following list with examples of entities that 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": 6.583700306304732, "input": "Complete the following list with examples of entities that 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": 6.384701410136521, "input": "Complete the following list with examples of entities that 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": 6.941244253683579, "input": "Complete the following list with examples of entities that 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": 7.216110489626964, "input": "Complete the following list with examples of entities that 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": 6.865737580740492, "input": "Complete the following list with examples of entities that 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": 6.854577958991113, "input": "Complete the following list with examples of entities that 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": 6.985300129878637, "input": "Complete the following list with examples of entities that 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": 6.612981617046646, "input": "Complete the following list with examples of entities that 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": 6.794066915240069, "input": "Complete the following list with examples of entities that 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": 6.135053788205906, "input": "Complete the following list with examples of entities that 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": 6.469945669989073, "input": "Complete the following list with examples of entities that 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": 7.224350147188369, "input": "Complete the following list with examples of entities that 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": 7.037317558240466, "input": "Complete the following list with examples of entities that 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": 7.176504599342962, "input": "Complete the following list with examples of entities that 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": 6.682259262918725, "input": "Complete the following list with examples of entities that 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": 7.449674694625897, "input": "Complete the following list with examples of entities that 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": 6.115360078131531, "input": "Complete the following list with examples of entities that 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": 7.453634764759481, "input": "Complete the following list with examples of entities that 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": 7.5588740526333975, "input": "Complete the following list with examples of entities that 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": 7.17588181798846, "input": "Complete the following list with examples of entities that 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": 6.6822481107047205, "input": "Complete the following list with examples of entities that 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": 6.815055030435011, "input": "Complete the following list with examples of entities that 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": 6.4765349627881585, "input": "Complete the following list with examples of entities that 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": 8.008097020807076, "input": "Complete the following list with examples of entities that 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": 7.35963035114914, "input": "Complete the following list with examples of entities that 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_qa/lm.csv CHANGED
@@ -1,4 +1,5 @@
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
@@ -7,6 +8,7 @@ T5 extsubscript{XL},-0.00413988385766918,0.16291281904680144,-0.0898072075231798
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
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-UL2,0.8139011664177609,0.5668563310448644,0.5182231753464608,0.6982912623610599,0.6226590592054422,0.6439861988751175
3
  Flan-T5 extsubscript{XL},0.7861767483358856,0.5003943849660698,0.4883173453354119,0.6349030920632762,0.6740659274412318,0.6167714996283751
4
  Flan-T5 extsubscript{LARGE},0.7161401564757297,0.4571362263336,0.3097571107969417,0.5286213530232154,0.6074813663159394,0.5238272425890853
5
  Flan-T5 extsubscript{BASE},0.5034269487785833,0.36490001336083383,0.5049076045340413,0.2302182361504099,0.3121104596406103,0.3831126524928957
 
8
  T5 extsubscript{LARGE},-0.030600997174729923,0.09892100336814785,-0.1485721634948909,-0.19286116899275968,0.037125937112284256,-0.04719747783638968
9
  T5 extsubscript{BASE},-0.013529311163722992,-0.11311653401145834,-0.007543745620287084,-0.1494091772458263,0.15490064904658374,-0.02573962379894219
10
  T5 extsubscript{SMALL},0.14713232588586322,-0.14745134657341868,0.21085105449290023,0.0024771071745011454,0.053006093385151415,0.05320304687299946
11
+ OPT extsubscript{6.7B},0.5604634517413575,0.32831892596624523,0.4269879644402534,0.49748807730207684,0.40472353102397157,0.4435963900947809
12
  OPT extsubscript{2.7B},0.5717222286656166,0.3371033272017468,0.5281967696551456,0.4209793528179663,0.3906219522536655,0.44972472611882824
13
  OPT extsubscript{1.3B},0.4868332699758846,0.33257990090648853,0.48834725116542294,0.338356612359798,0.38402328025886945,0.40602806293329274
14
  OPT extsubscript{350M},0.4394508054523349,0.3818975981768043,0.4192647838399,0.2634802012739137,0.2726155768631501,0.35534179312122055
experiments/results/lm_qa/opt-6.7b/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 23.672020143077237, "input": "Answer the question by yes or no. We know that [\"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": 30.63292803653591, "input": "Answer the question by yes or no. We know that [\"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": 23.663533315269987, "input": "Answer the question by yes or no. We know that [\"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": 23.978266685037575, "input": "Answer the question by yes or no. We know that [\"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": 25.893076847971738, "input": "Answer the question by yes or no. We know that [\"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": 24.87530469836824, "input": "Answer the question by yes or no. We know that [\"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": 26.1460991785723, "input": "Answer the question by yes or no. We know that [\"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": 21.09557295099077, "input": "Answer the question by yes or no. We know that [\"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": 24.74869249914245, "input": "Answer the question by yes or no. We know that [\"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": 28.619691135167894, "input": "Answer the question by yes or no. We know that [\"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": 24.273863517179375, "input": "Answer the question by yes or no. We know that [\"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": 23.59597879088472, "input": "Answer the question by yes or no. We know that [\"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": 23.651733558236717, "input": "Answer the question by yes or no. We know that [\"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": 24.93831539584108, "input": "Answer the question by yes or no. We know that [\"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": 23.52022095900534, "input": "Answer the question by yes or no. We know that [\"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": 23.071024078274068, "input": "Answer the question by yes or no. We know that [\"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": 21.71982361598597, "input": "Answer the question by yes or no. We know that [\"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": 24.078515070004475, "input": "Answer the question by yes or no. We know that [\"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": 27.060354292330132, "input": "Answer the question by yes or no. We know that [\"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": 26.62433221131677, "input": "Answer the question by yes or no. We know that [\"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": 26.349255732546013, "input": "Answer the question by yes or no. We know that [\"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": 30.546278420070006, "input": "Answer the question by yes or no. We know that [\"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": 25.06648336168921, "input": "Answer the question by yes or no. We know that [\"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": 24.95165529700194, "input": "Answer the question by yes or no. We know that [\"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": 26.682865450720694, "input": "Answer the question by yes or no. We know that [\"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": 24.722590447645437, "input": "Answer the question by yes or no. We know that [\"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": 23.227792227715977, "input": "Answer the question by yes or no. We know that [\"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": 25.239729080872806, "input": "Answer the question by yes or no. We know that [\"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": 23.42831204823842, "input": "Answer the question by yes or no. We know that [\"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": 24.881164954538242, "input": "Answer the question by yes or no. We know that [\"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": 23.98099378436314, "input": "Answer the question by yes or no. We know that [\"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": 26.934035602924272, "input": "Answer the question by yes or no. We know that [\"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": 19.873582294548182, "input": "Answer the question by yes or no. We know that [\"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": 29.91039250904789, "input": "Answer the question by yes or no. We know that [\"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": 31.30586487406194, "input": "Answer the question by yes or no. We know that [\"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": 24.34485045393516, "input": "Answer the question by yes or no. We know that [\"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": 28.790011536190807, "input": "Answer the question by yes or no. We know that [\"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": 21.530810355698787, "input": "Answer the question by yes or no. We know that [\"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": 20.0863175070785, "input": "Answer the question by yes or no. We know that [\"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": 24.022011967771622, "input": "Answer the question by yes or no. We know that [\"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": 23.980782237261074, "input": "Answer the question by yes or no. We know that [\"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": 21.743434451959295, "input": "Answer the question by yes or no. We know that [\"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": 26.67488908280761, "input": "Answer the question by yes or no. We know that [\"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": 23.075391936947003, "input": "Answer the question by yes or no. We know that [\"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": 25.266226527199713, "input": "Answer the question by yes or no. We know that [\"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": 24.71634914554251, "input": "Answer the question by yes or no. We know that [\"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": 22.956545343754215, "input": "Answer the question by yes or no. We know that [\"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": 23.323957661399746, "input": "Answer the question by yes or no. We know that [\"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": 24.085330322797272, "input": "Answer the question by yes or no. We know that [\"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": 24.37008305118498, "input": "Answer the question by yes or no. We know that [\"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": 21.195414206379343, "input": "Answer the question by yes or no. We know that [\"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": 24.978279091480452, "input": "Answer the question by yes or no. We know that [\"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": 26.105455805141556, "input": "Answer the question by yes or no. We know that [\"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": 22.70380127931032, "input": "Answer the question by yes or no. We know that [\"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": 22.734074746795407, "input": "Answer the question by yes or no. We know that [\"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": 25.819914605429155, "input": "Answer the question by yes or no. We know that [\"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": 23.388954471186345, "input": "Answer the question by yes or no. We know that [\"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": 24.38271206203057, "input": "Answer the question by yes or no. We know that [\"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": 25.824476565382227, "input": "Answer the question by yes or no. We know that [\"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": 25.91059050399344, "input": "Answer the question by yes or no. We know that [\"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": 25.357623977511185, "input": "Answer the question by yes or no. We know that [\"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": 22.80461980771111, "input": "Answer the question by yes or no. We know that [\"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": 26.420541335189615, "input": "Answer the question by yes or no. We know that [\"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": 26.389020319568868, "input": "Answer the question by yes or no. We know that [\"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": 26.089247252173813, "input": "Answer the question by yes or no. We know that [\"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": 22.73993476600375, "input": "Answer the question by yes or no. We know that [\"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": 21.86118617787659, "input": "Answer the question by yes or no. We know that [\"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": 24.191412735102002, "input": "Answer the question by yes or no. We know that [\"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": 25.170939293258108, "input": "Answer the question by yes or no. We know that [\"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": 24.33524629087648, "input": "Answer the question by yes or no. We know that [\"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": 24.6570324269531, "input": "Answer the question by yes or no. We know that [\"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": 29.318819631465367, "input": "Answer the question by yes or no. We know that [\"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": 24.782939351415713, "input": "Answer the question by yes or no. We know that [\"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": 28.793265290948092, "input": "Answer the question by yes or no. We know that [\"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": 21.174589355507923, "input": "Answer the question by yes or no. We know that [\"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": 24.19498319387486, "input": "Answer the question by yes or no. We know that [\"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": 36.86791010882573, "input": "Answer the question by yes or no. We know that [\"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": 25.005187645793512, "input": "Answer the question by yes or no. We know that [\"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": 23.444767843360747, "input": "Answer the question by yes or no. We know that [\"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": 25.389335499488684, "input": "Answer the question by yes or no. We know that [\"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": 23.146720191473285, "input": "Answer the question by yes or no. We know that [\"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": 27.658020866362172, "input": "Answer the question by yes or no. We know that [\"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": 29.37644707827096, "input": "Answer the question by yes or no. We know that [\"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": 25.759963825961886, "input": "Answer the question by yes or no. We know that [\"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": 27.024062081027488, "input": "Answer the question by yes or no. We know that [\"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": 26.315686467203697, "input": "Answer the question by yes or no. We know that [\"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": 25.209256208928544, "input": "Answer the question by yes or no. We know that [\"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": 23.339294005667345, "input": "Answer the question by yes or no. We know that [\"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": 28.33802845386886, "input": "Answer the question by yes or no. We know that [\"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-6.7b/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.83233519693445, "input": "Answer the question by yes or no. We know 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": 19.195043045726116, "input": "Answer the question by yes or no. We know 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": 19.553295030601692, "input": "Answer the question by yes or no. We know 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": 17.454074652630126, "input": "Answer the question by yes or no. We know 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": 18.650212571216276, "input": "Answer the question by yes or no. We know 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": 19.17513207154619, "input": "Answer the question by yes or no. We know 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": 21.543575634567095, "input": "Answer the question by yes or no. We know 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": 17.072099068308226, "input": "Answer the question by yes or no. We know 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": 21.22231018790767, "input": "Answer the question by yes or no. We know 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": 16.18424608634205, "input": "Answer the question by yes or no. We know 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": 23.838759560625274, "input": "Answer the question by yes or no. We know 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": 20.41082421925924, "input": "Answer the question by yes or no. We know 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": 15.492107428925348, "input": "Answer the question by yes or no. We know 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": 19.53179699464409, "input": "Answer the question by yes or no. We know 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": 20.867859525852303, "input": "Answer the question by yes or no. We know 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": 22.468336209797116, "input": "Answer the question by yes or no. We know 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": 25.602080954903165, "input": "Answer the question by yes or no. We know 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": 20.54829633728014, "input": "Answer the question by yes or no. We know 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": 19.72285087489135, "input": "Answer the question by yes or no. We know 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": 19.164021470162652, "input": "Answer the question by yes or no. We know 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": 20.712678135952384, "input": "Answer the question by yes or no. We know 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": 20.107423918858288, "input": "Answer the question by yes or no. We know 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": 19.092721770459335, "input": "Answer the question by yes or no. We know 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": 19.298506214483403, "input": "Answer the question by yes or no. We know 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": 18.192250948465613, "input": "Answer the question by yes or no. We know 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": 17.87578371543335, "input": "Answer the question by yes or no. We know 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": 19.54564174016809, "input": "Answer the question by yes or no. We know 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": 20.04921828204928, "input": "Answer the question by yes or no. We know 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": 22.964258472317184, "input": "Answer the question by yes or no. We know 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": 22.022982200508856, "input": "Answer the question by yes or no. We know 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": 19.79007160719156, "input": "Answer the question by yes or no. We know 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": 19.575652139597356, "input": "Answer the question by yes or no. We know 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": 20.068357396153036, "input": "Answer the question by yes or no. We know 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": 19.03165815529875, "input": "Answer the question by yes or no. We know 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": 20.835023626701908, "input": "Answer the question by yes or no. We know 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": 18.74045966234572, "input": "Answer the question by yes or no. We know 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": 20.048936257770904, "input": "Answer the question by yes or no. We know 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": 18.19141819236665, "input": "Answer the question by yes or no. We know 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": 15.644164781352904, "input": "Answer the question by yes or no. We know 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": 19.295419108275038, "input": "Answer the question by yes or no. We know 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": 18.295036632578746, "input": "Answer the question by yes or no. We know 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": 21.308115120184393, "input": "Answer the question by yes or no. We know 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": 20.452702874148162, "input": "Answer the question by yes or no. We know 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": 20.29415315823495, "input": "Answer the question by yes or no. We know 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": 19.074822363595207, "input": "Answer the question by yes or no. We know 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": 20.386366163065276, "input": "Answer the question by yes or no. We know 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": 21.397332769339684, "input": "Answer the question by yes or no. We know 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": 19.8565509169612, "input": "Answer the question by yes or no. We know 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": 20.760897292085605, "input": "Answer the question by yes or no. We know 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": 20.58923471416592, "input": "Answer the question by yes or no. We know 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": 20.518898317754235, "input": "Answer the question by yes or no. We know 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": 20.604885183683376, "input": "Answer the question by yes or no. We know 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": 20.053611680881186, "input": "Answer the question by yes or no. We know 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": 20.861626424304742, "input": "Answer the question by yes or no. We know 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": 19.74336353674657, "input": "Answer the question by yes or no. We know 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": 24.538521485638235, "input": "Answer the question by yes or no. We know 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": 18.860317614810793, "input": "Answer the question by yes or no. We know 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": 20.629270948845466, "input": "Answer the question by yes or no. We know 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": 17.654648111881205, "input": "Answer the question by yes or no. We know 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": 17.655039571460005, "input": "Answer the question by yes or no. We know 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": 19.7675968619611, "input": "Answer the question by yes or no. We know 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": 21.155343450514216, "input": "Answer the question by yes or no. We know 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": 20.244836253349128, "input": "Answer the question by yes or no. We know 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": 22.12342519147604, "input": "Answer the question by yes or no. We know 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": 20.973007538699942, "input": "Answer the question by yes or no. We know 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": 21.095406975618268, "input": "Answer the question by yes or no. We know 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": 18.412489175099722, "input": "Answer the question by yes or no. We know 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": 19.198741177472932, "input": "Answer the question by yes or no. We know 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": 22.95317405889966, "input": "Answer the question by yes or no. We know 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": 21.211277647945778, "input": "Answer the question by yes or no. We know 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": 19.341514747810336, "input": "Answer the question by yes or no. We know 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": 21.61950166564585, "input": "Answer the question by yes or no. We know 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": 20.47854897545969, "input": "Answer the question by yes or no. We know 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": 19.62597778608777, "input": "Answer the question by yes or no. We know 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": 20.584522751585887, "input": "Answer the question by yes or no. We know 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": 18.737457357293046, "input": "Answer the question by yes or no. We know 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": 21.17334748171206, "input": "Answer the question by yes or no. We know 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": 22.631107533719476, "input": "Answer the question by yes or no. We know 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": 20.886943491108507, "input": "Answer the question by yes or no. We know 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": 20.047540534997975, "input": "Answer the question by yes or no. We know 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": 20.46016498074843, "input": "Answer the question by yes or no. We know 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": 17.47113630375433, "input": "Answer the question by yes or no. We know 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": 19.666297680461078, "input": "Answer the question by yes or no. We know 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": 21.932567683159203, "input": "Answer the question by yes or no. We know 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": 21.802768824888417, "input": "Answer the question by yes or no. We know 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": 23.098262420126602, "input": "Answer the question by yes or no. We know 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": 20.29176791636088, "input": "Answer the question by yes or no. We know 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": 21.25219917394418, "input": "Answer the question by yes or no. We know 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": 18.903012095990636, "input": "Answer the question by yes or no. We know 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": 17.86267459991569, "input": "Answer the question by yes or no. We know 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": 17.66773092927622, "input": "Answer the question by yes or no. We know 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": 19.712987928847717, "input": "Answer the question by yes or no. We know 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-6.7b/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 27.108132485056533, "input": "Answer the question by yes or no. 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": 26.67187471307996, "input": "Answer the question by yes or no. 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": 22.376589457472782, "input": "Answer the question by yes or no. 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": 27.169821598603974, "input": "Answer the question by yes or no. 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": 21.562018022886708, "input": "Answer the question by yes or no. 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": 25.671406346983137, "input": "Answer the question by yes or no. 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": 23.915708750466244, "input": "Answer the question by yes or no. 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": 25.63945866110891, "input": "Answer the question by yes or no. 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": 29.50444105581112, "input": "Answer the question by yes or no. 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": 26.809910912813706, "input": "Answer the question by yes or no. 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": 24.48936274606187, "input": "Answer the question by yes or no. 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": 23.979735964169105, "input": "Answer the question by yes or no. 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": 23.467942875190037, "input": "Answer the question by yes or no. 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": 26.93395854414053, "input": "Answer the question by yes or no. 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": 26.733170168337413, "input": "Answer the question by yes or no. 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": 26.604046233279835, "input": "Answer the question by yes or no. 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": 23.94516033230451, "input": "Answer the question by yes or no. 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": 24.660800958172864, "input": "Answer the question by yes or no. 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": 24.845011173748006, "input": "Answer the question by yes or no. 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": 23.089595941944676, "input": "Answer the question by yes or no. 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": 25.429361098371594, "input": "Answer the question by yes or no. 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": 26.264608065951926, "input": "Answer the question by yes or no. 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": 23.851067737835216, "input": "Answer the question by yes or no. 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": 25.376608622961264, "input": "Answer the question by yes or no. 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": 26.72164265925532, "input": "Answer the question by yes or no. 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": 26.226043881078233, "input": "Answer the question by yes or no. 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": 26.37757832091752, "input": "Answer the question by yes or no. 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": 25.771555734389388, "input": "Answer the question by yes or no. 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": 20.136386034950487, "input": "Answer the question by yes or no. 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": 25.835980468311515, "input": "Answer the question by yes or no. 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": 25.110639367592984, "input": "Answer the question by yes or no. 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": 21.743849179014173, "input": "Answer the question by yes or no. 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": 23.947432610610633, "input": "Answer the question by yes or no. 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": 27.029764771698833, "input": "Answer the question by yes or no. 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": 28.329685636276754, "input": "Answer the question by yes or no. 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": 25.82882995603109, "input": "Answer the question by yes or no. 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": 29.737009968630993, "input": "Answer the question by yes or no. 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": 24.544542326331854, "input": "Answer the question by yes or no. 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": 24.178081528314724, "input": "Answer the question by yes or no. 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": 25.2208528503094, "input": "Answer the question by yes or no. 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": 24.114335359508306, "input": "Answer the question by yes or no. 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": 27.528774417141673, "input": "Answer the question by yes or no. 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": 26.38941040368113, "input": "Answer the question by yes or no. 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": 24.923485141682974, "input": "Answer the question by yes or no. 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": 26.6288331361593, "input": "Answer the question by yes or no. 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": 25.211239704121397, "input": "Answer the question by yes or no. 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": 23.451029107717495, "input": "Answer the question by yes or no. 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": 21.392420567901407, "input": "Answer the question by yes or no. 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": 25.68948666624505, "input": "Answer the question by yes or no. 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": 23.946861666131234, "input": "Answer the question by yes or no. 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": 26.551863704578984, "input": "Answer the question by yes or no. 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": 25.665739352325087, "input": "Answer the question by yes or no. 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": 27.517402444206045, "input": "Answer the question by yes or no. 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": 25.858824858092365, "input": "Answer the question by yes or no. 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": 25.77299356823902, "input": "Answer the question by yes or no. 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": 24.1222707065612, "input": "Answer the question by yes or no. 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": 34.343891098144354, "input": "Answer the question by yes or no. 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": 26.553832549890096, "input": "Answer the question by yes or no. 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": 25.72449564766231, "input": "Answer the question by yes or no. 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": 24.030421106812735, "input": "Answer the question by yes or no. 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": 27.016511894835975, "input": "Answer the question by yes or no. 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": 26.04843141409231, "input": "Answer the question by yes or no. 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": 24.75745046177315, "input": "Answer the question by yes or no. 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": 26.705771002011673, "input": "Answer the question by yes or no. 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": 25.72783845758356, "input": "Answer the question by yes or no. 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": 20.906533384812096, "input": "Answer the question by yes or no. 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": 27.583929097339542, "input": "Answer the question by yes or no. 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": 25.113878458525146, "input": "Answer the question by yes or no. 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": 22.135824058250602, "input": "Answer the question by yes or no. 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": 22.956266208838247, "input": "Answer the question by yes or no. 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": 27.575163987506873, "input": "Answer the question by yes or no. 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": 23.769611022597513, "input": "Answer the question by yes or no. 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": 26.985071195495625, "input": "Answer the question by yes or no. 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": 27.068000626519567, "input": "Answer the question by yes or no. 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": 24.665540365591188, "input": "Answer the question by yes or no. 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": 26.654018064251837, "input": "Answer the question by yes or no. 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": 23.687031896535714, "input": "Answer the question by yes or no. 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": 22.96418182096286, "input": "Answer the question by yes or no. 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": 24.75560890778515, "input": "Answer the question by yes or no. 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": 22.308831122104834, "input": "Answer the question by yes or no. 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": 26.70460583861862, "input": "Answer the question by yes or no. 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": 29.5798546656439, "input": "Answer the question by yes or no. 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": 25.927071312180637, "input": "Answer the question by yes or no. 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": 23.705783129739636, "input": "Answer the question by yes or no. 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": 25.69914737216001, "input": "Answer the question by yes or no. 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": 25.651711886414212, "input": "Answer the question by yes or no. 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": 24.61099824440166, "input": "Answer the question by yes or no. 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": 26.281470701467384, "input": "Answer the question by yes or no. 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": 23.937134864143907, "input": "Answer the question by yes or no. 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": 26.392782984163777, "input": "Answer the question by yes or no. 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": 22.473741940597154, "input": "Answer the question by yes or no. 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": 25.64764517208301, "input": "Answer the question by yes or no. 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": 26.149284801405162, "input": "Answer the question by yes or no. 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-6.7b/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 15.441256238748954, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.924074333785528, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.94537468955734, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.80871218410322, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.606787822271299, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.465690124294873, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.333023645237315, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 12.710628167600957, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.257377416509836, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 18.275157283367157, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.868241710363527, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.47164260125748, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.719227391591467, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.49686552429112, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.605506288418127, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.024579170195246, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.0804998666961, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 18.60276600940936, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.00627419981571, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.807005442143499, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.454481917502228, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.875842928142037, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.687128287069687, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.956430858122815, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.468453074190418, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.720329364745675, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.011245205534214, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.745053174304683, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 18.127310909810735, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.844083716737117, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.158489354857476, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.457628656239176, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.59800885462678, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.325022381703533, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.545572083054905, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.919255443847405, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.126018779151153, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.268106523336993, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.837982594467464, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.967977308994708, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.06749444467145, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.887258806716426, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.0750299398933, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.096289374923668, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 20.383148773620917, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.702595517819887, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.45954193576015, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.668263296357711, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.102217755066057, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.43632442768102, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.89147928435543, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.42926968928835, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.86300413663215, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.805397748441907, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.726298968678293, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.064529619557266, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.33401385105363, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.867941614746927, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.510579071944523, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.372822991884096, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.878337071945552, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.315160377114454, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.038735283261268, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.374405750899786, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.14837367834803, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.337208893898426, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.744050911380008, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.934376949727831, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.813342113358102, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.323104272468672, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.218782639800306, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.452208849876357, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.513771824364646, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.872280783480548, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.42374621664939, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.87733799392213, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.766901572893149, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.944052634160503, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.85722773454912, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.555441730116033, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.624688399009273, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.059858023733751, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.18972845795243, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.920399138283514, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.987153566786088, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.834559665046811, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.948269876209125, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.004350134122829, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.55428788467135, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.63902978066978, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.026097578474102, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 12.860647134343303, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.832464538130985, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.273579796717682, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.803504565745124, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.603946491562, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 13.959627779145372, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.333557145141935, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.215401308914002, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.89851796218226, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.902166643344344, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 17.338105406735206, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.553918353524226, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.833581904652721, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 15.473159744570085, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.467024693902781, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 16.668733792734113, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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": 14.44024227486531, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"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-6.7b/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.116419575480927, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.166824579023714, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.95532170782226, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.172558329012382, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.223941108435806, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.781638310177348, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.21669628487603, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.175846301212184, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.352757641272785, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.731622511171146, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.399182922428672, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.695397167880207, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.977718461600508, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.535971979689766, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.937785040760305, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.562314240065213, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.011254064675583, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.311432732264405, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.355537657722724, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.391725087373736, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.489656779517345, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.847943941949689, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.75580805318925, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.528491386718231, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.43310006317087, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.883574986311487, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.892999556349997, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.628254650715274, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.126306410187256, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.994334371655683, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.721590193336771, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.152906179693984, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.760666253875415, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.05150154274535, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.283926224400778, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 17.522860051584164, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.915101596802666, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.751322432736739, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.777720561481232, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.734518492546643, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.019266909957842, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.115610820401292, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.39054926068385, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.360120519592067, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.525197131190259, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.170466572730096, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.202324755044303, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.167041186682313, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.089137359218775, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.697306862990134, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 15.03839107786622, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.208431070969459, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.64847984868534, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.894084699527143, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.45633651398947, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.34585162590123, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.942401489488939, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.561222737597792, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.86963735784375, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.144674771648388, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.272191053678787, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.69513790741077, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.830346771970119, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.432751538968983, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.936621560676379, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.214200366797888, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.90037602528661, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.81240282552843, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.964618776871037, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.544891918794178, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.58680889856355, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.80851768704355, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.637953800155277, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.569547670749914, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.56022046792565, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.258357458322473, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.026274602506492, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.380699103790699, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.75093024038769, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.942325034764858, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.410952449968775, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.409692725567373, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.381434425129203, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.476523479071847, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 11.777644642084939, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.156233646150843, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.663482116480274, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.94902139852835, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.949721173332719, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.506281826391367, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 12.67107579304596, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 14.922603019581278, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": 13.819069948691778, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"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": ""}