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Datasets:
lmqg
/
qg_subjqa

Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Source Datasets:
subjqa
ArXiv:
Tags:
question-generation
License:
Dataset card Viewer Files Community
1
asahi417 commited on
Commit
346267c
•
1 Parent(s): be20096

update

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Files changed (50) hide show
  1. generate_reference_files.py +5 -5
  2. reference_files/answer-test.books.txt +0 -0
  3. reference_files/answer-test.electronics.txt +0 -0
  4. reference_files/answer-test.grocery.txt +0 -0
  5. reference_files/answer-test.movies.txt +0 -0
  6. reference_files/answer-test.restaurants.txt +0 -0
  7. reference_files/answer-test.tripadvisor.txt +0 -0
  8. reference_files/answer-test.txt +0 -0
  9. reference_files/answer-validation.books.txt +0 -0
  10. reference_files/answer-validation.electronics.txt +0 -0
  11. reference_files/answer-validation.grocery.txt +0 -0
  12. reference_files/answer-validation.movies.txt +0 -0
  13. reference_files/answer-validation.restaurants.txt +0 -0
  14. reference_files/answer-validation.tripadvisor.txt +0 -0
  15. reference_files/answer-validation.txt +0 -0
  16. reference_files/paragraph-test.books.txt +0 -0
  17. reference_files/paragraph-test.electronics.txt +0 -0
  18. reference_files/paragraph-test.grocery.txt +0 -0
  19. reference_files/paragraph-test.movies.txt +0 -0
  20. reference_files/paragraph-test.restaurants.txt +0 -0
  21. reference_files/paragraph-test.tripadvisor.txt +0 -0
  22. reference_files/paragraph-test.txt +0 -0
  23. reference_files/paragraph-validation.books.txt +0 -0
  24. reference_files/paragraph-validation.electronics.txt +0 -0
  25. reference_files/paragraph-validation.grocery.txt +0 -0
  26. reference_files/paragraph-validation.movies.txt +0 -0
  27. reference_files/paragraph-validation.restaurants.txt +0 -0
  28. reference_files/paragraph-validation.tripadvisor.txt +0 -0
  29. reference_files/paragraph-validation.txt +0 -0
  30. reference_files/question-test.books.txt +0 -0
  31. reference_files/question-test.electronics.txt +0 -0
  32. reference_files/question-test.grocery.txt +0 -0
  33. reference_files/question-test.movies.txt +0 -0
  34. reference_files/question-test.restaurants.txt +0 -0
  35. reference_files/question-test.tripadvisor.txt +0 -0
  36. reference_files/question-test.txt +0 -0
  37. reference_files/question-validation.books.txt +0 -0
  38. reference_files/question-validation.electronics.txt +0 -0
  39. reference_files/question-validation.grocery.txt +0 -0
  40. reference_files/question-validation.movies.txt +0 -0
  41. reference_files/question-validation.restaurants.txt +0 -0
  42. reference_files/question-validation.tripadvisor.txt +0 -0
  43. reference_files/question-validation.txt +0 -0
  44. reference_files/sentence-test.books.txt +0 -0
  45. reference_files/sentence-test.electronics.txt +0 -0
  46. reference_files/sentence-test.grocery.txt +0 -0
  47. reference_files/sentence-test.movies.txt +0 -0
  48. reference_files/sentence-test.restaurants.txt +0 -0
  49. reference_files/sentence-test.tripadvisor.txt +0 -0
  50. reference_files/sentence-test.txt +0 -0
generate_reference_files.py CHANGED
@@ -6,11 +6,11 @@ os.makedirs('./reference_files', exist_ok=True)
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  for split in ['validation', 'test']:
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  for domain in ["default", "books", "electronics", "grocery", "movies", "restaurants", "tripadvisor"]:
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- dataset = load_dataset('asahi417/qg_newsqa', domain, split=split)
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  for data in ['question', 'answer', 'sentence', 'paragraph']:
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  with open('./reference_files/{}-{}.{}txt'.format(data, split, "" if domain == 'default' else f"{domain}."), 'w') as f:
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- if data == 'paragraph':
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- f.write('\n'.join(dataset['paragraph_id']))
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- else:
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- f.write('\n'.join(dataset[data]))
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  for split in ['validation', 'test']:
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  for domain in ["default", "books", "electronics", "grocery", "movies", "restaurants", "tripadvisor"]:
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+ dataset = load_dataset('asahi417/qg_subjqa', domain, split=split)
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  for data in ['question', 'answer', 'sentence', 'paragraph']:
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  with open('./reference_files/{}-{}.{}txt'.format(data, split, "" if domain == 'default' else f"{domain}."), 'w') as f:
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+ # if data == 'paragraph':
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+ # f.write('\n'.join(dataset['paragraph_id']))
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+ # else:
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+ f.write('\n'.join(dataset[data]))
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