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Convert dataset to Parquet (#6)

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- Convert dataset to Parquet (1577cea73fafe135738871aca0d5339994dbb41d)
- Add 'advanced_mathematics' config data files (c8cc8e9f548c565da41b32c638fca2ae85fac7b5)
- Add 'art_studies' config data files (e897e7bd402f49d5f666fc1152c47040dded6803)
- Add 'basic_medicine' config data files (78678a5e45ace5318500da9949700ead70aae4a0)
- Add 'business_administration' config data files (b4942243ddd331ce7905a133e1a4d11ae10a3b8e)
- Add 'chinese_language_and_literature' config data files (f3d1415653efc0b1e97c1485fbab3a08045d3e8f)
- Add 'civil_servant' config data files (d4cfe285e29741ded83e36572e7c67ce89f5af4d)
- Add 'clinical_medicine' config data files (47e9b6d22b7af949beb326ea8933b7d568e1571e)
- Add 'college_chemistry' config data files (919671f468d3ca6c8034e869a4d7316ad302e743)
- Add 'college_economics' config data files (625aee58f17765ad8d71623dd2f356e2d4680e44)
- Add 'college_physics' config data files (d3a805099198b9ba8ca66c892b09f48c3ff96413)
- Add 'college_programming' config data files (a2012d87a47a773e2e36c12a4ada966796657bb3)
- Add 'computer_architecture' config data files (66c7f466be5e3e94b13dfb673f29e8b9637137e6)
- Add 'computer_network' config data files (517ec81c4acc8aaafa0a7aa58be7dfa4e1a7b763)
- Add 'discrete_mathematics' config data files (b3a4e16f8b92aab9a3bd41092469d38ec369adcc)
- Add 'education_science' config data files (20b859667699d142c94292d47dd3312e3969a868)
- Add 'electrical_engineer' config data files (4792653c2ccbf3c11b9a9c680c4f41e726a1b118)
- Add 'environmental_impact_assessment_engineer' config data files (26316bf47fe316e8c8b094f6ce9602c161096d84)
- Add 'fire_engineer' config data files (d5ba1dcf22cb93505dbe46d34ac1994425de4e24)
- Add 'high_school_biology' config data files (3fe5c9a2567ba6f51bd6f6597699680e82857227)
- Add 'high_school_chemistry' config data files (deaa0c4b7c33d54758a46f1c6d2b1c64aafd63ce)
- Add 'high_school_chinese' config data files (46c2abfc20652d535e3b39dac6921e2ef4b52ee0)
- Add 'high_school_geography' config data files (e7afe9047b7e8e5b8eb4a403179d4b66b1a42d5e)
- Add 'high_school_history' config data files (8736dd46d455f7e5640a81aa1233cd01ed49e5a6)
- Add 'high_school_mathematics' config data files (3fc6163f5ff5b5a40b79958be3860c77d50a16a8)
- Add 'high_school_physics' config data files (45cc9448fa9d2c76637c8d8190edf4662aa0f9db)
- Add 'high_school_politics' config data files (bef29243b8b8ef8c2e89af86da7e2f1c81cc5cd4)
- Add 'ideological_and_moral_cultivation' config data files (70c3fa41e1913e9cdf93ee13245fc7efc50914d4)
- Add 'law' config data files (19cd97019e8ef867e308e5432fdec8342bea7c14)
- Add 'legal_professional' config data files (c56fea0f88657e17c6cea37eb8c6a6f48eda3021)
- Add 'logic' config data files (41b6d96ff222f6992bf3dcb76c7dfa67b7a15ad3)
- Add 'mao_zedong_thought' config data files (49e6780306bdc7e0a874057d8077f8888579f2c1)
- Add 'marxism' config data files (840ac9ca9897a844c32d85682a34dd57079733cf)
- Add 'metrology_engineer' config data files (f565e5e695164b7ea9d1789f6389b005a1a4bb41)
- Add 'middle_school_biology' config data files (20325df1eda6ea481821b8ea24ccfb08cfeeb68a)
- Add 'middle_school_chemistry' config data files (7821500044e8f1ba9660f80e25a0998de70a09b0)
- Add 'middle_school_geography' config data files (e75ce5b973d221232864e8abac09d5af8c3294dd)
- Add 'middle_school_history' config data files (96e4be870f911a5e3995b0d019994ad9b512cc94)
- Add 'middle_school_mathematics' config data files (04fb9e0afc6b6e7f2179b9c3634440bdbf73c019)
- Add 'middle_school_physics' config data files (fb4e650f6b5af0bf9ccf2e958ae77da365188aa4)
- Add 'middle_school_politics' config data files (5a8302502064bf61fb7f593102a41ab0f824b871)
- Add 'modern_chinese_history' config data files (7eba8eedd6003959170f0dc527bcee4bf7eb762f)
- Add 'operating_system' config data files (2ba8f7592d49f43f009353df68317f5be2828866)
- Add 'physician' config data files (7b07ffd7870222106bb7bd21b7f07ed3692b37dc)
- Add 'plant_protection' config data files (3c47cd00678eb204b990bd99fb2f8d1ecf113a28)
- Add 'probability_and_statistics' config data files (13ed67e5a96913d50bcbe23b9eeb2daca77e1c9a)
- Add 'professional_tour_guide' config data files (d300241fa8f88f0e018ac5dac2357198bae99e2c)
- Add 'sports_science' config data files (edc3764cab74735fe3c21138be55cda2b0346db4)
- Add 'tax_accountant' config data files (6019a944e78094a1817521c16c8d56b75b1ef40d)
- Add 'teacher_qualification' config data files (354d3c174273cba169bbef959a421a9b23332ac2)
- Add 'urban_and_rural_planner' config data files (b86448676dbe176eef4feedd81a5cafe291181b5)
- Add 'veterinary_medicine' config data files (d476f75e340debe1c9c988210bb22cc7dc42c9bc)
- Delete loading script (c7c96560c5c49eb190ddfa2e416a81d86d9b488e)
- Delete data file (00f63785ba46ea03a74186e4d227ee65904c092f)


Co-authored-by: Quentin Lhoest <lhoestq@users.noreply.huggingface.co>

This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +1978 -0
  2. ceval-exam.zip → accountant/dev-00000-of-00001.parquet +2 -2
  3. accountant/test-00000-of-00001.parquet +3 -0
  4. accountant/val-00000-of-00001.parquet +3 -0
  5. advanced_mathematics/dev-00000-of-00001.parquet +3 -0
  6. advanced_mathematics/test-00000-of-00001.parquet +3 -0
  7. advanced_mathematics/val-00000-of-00001.parquet +3 -0
  8. art_studies/dev-00000-of-00001.parquet +3 -0
  9. art_studies/test-00000-of-00001.parquet +3 -0
  10. art_studies/val-00000-of-00001.parquet +3 -0
  11. basic_medicine/dev-00000-of-00001.parquet +3 -0
  12. basic_medicine/test-00000-of-00001.parquet +3 -0
  13. basic_medicine/val-00000-of-00001.parquet +3 -0
  14. business_administration/dev-00000-of-00001.parquet +3 -0
  15. business_administration/test-00000-of-00001.parquet +3 -0
  16. business_administration/val-00000-of-00001.parquet +3 -0
  17. ceval-exam.py +0 -166
  18. chinese_language_and_literature/dev-00000-of-00001.parquet +3 -0
  19. chinese_language_and_literature/test-00000-of-00001.parquet +3 -0
  20. chinese_language_and_literature/val-00000-of-00001.parquet +3 -0
  21. civil_servant/dev-00000-of-00001.parquet +3 -0
  22. civil_servant/test-00000-of-00001.parquet +3 -0
  23. civil_servant/val-00000-of-00001.parquet +3 -0
  24. clinical_medicine/dev-00000-of-00001.parquet +3 -0
  25. clinical_medicine/test-00000-of-00001.parquet +3 -0
  26. clinical_medicine/val-00000-of-00001.parquet +3 -0
  27. college_chemistry/dev-00000-of-00001.parquet +3 -0
  28. college_chemistry/test-00000-of-00001.parquet +3 -0
  29. college_chemistry/val-00000-of-00001.parquet +3 -0
  30. college_economics/dev-00000-of-00001.parquet +3 -0
  31. college_economics/test-00000-of-00001.parquet +3 -0
  32. college_economics/val-00000-of-00001.parquet +3 -0
  33. college_physics/dev-00000-of-00001.parquet +3 -0
  34. college_physics/test-00000-of-00001.parquet +3 -0
  35. college_physics/val-00000-of-00001.parquet +3 -0
  36. college_programming/dev-00000-of-00001.parquet +3 -0
  37. college_programming/test-00000-of-00001.parquet +3 -0
  38. college_programming/val-00000-of-00001.parquet +3 -0
  39. computer_architecture/dev-00000-of-00001.parquet +3 -0
  40. computer_architecture/test-00000-of-00001.parquet +3 -0
  41. computer_architecture/val-00000-of-00001.parquet +3 -0
  42. computer_network/dev-00000-of-00001.parquet +3 -0
  43. computer_network/test-00000-of-00001.parquet +3 -0
  44. computer_network/val-00000-of-00001.parquet +3 -0
  45. discrete_mathematics/dev-00000-of-00001.parquet +3 -0
  46. discrete_mathematics/test-00000-of-00001.parquet +3 -0
  47. discrete_mathematics/val-00000-of-00001.parquet +3 -0
  48. education_science/dev-00000-of-00001.parquet +3 -0
  49. education_science/test-00000-of-00001.parquet +3 -0
  50. education_science/val-00000-of-00001.parquet +3 -0
README.md CHANGED
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  pretty_name: C-Eval
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  size_categories:
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  - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
  C-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disciplines and four difficulty levels. Please visit our [website](https://cevalbenchmark.com/) and [GitHub](https://github.com/SJTU-LIT/ceval/tree/main) or check our [paper](https://arxiv.org/abs/2305.08322) for more details.
 
9
  pretty_name: C-Eval
10
  size_categories:
11
  - 10K<n<100K
12
+ configs:
13
+ - config_name: accountant
14
+ data_files:
15
+ - split: test
16
+ path: accountant/test-*
17
+ - split: val
18
+ path: accountant/val-*
19
+ - split: dev
20
+ path: accountant/dev-*
21
+ - config_name: advanced_mathematics
22
+ data_files:
23
+ - split: test
24
+ path: advanced_mathematics/test-*
25
+ - split: val
26
+ path: advanced_mathematics/val-*
27
+ - split: dev
28
+ path: advanced_mathematics/dev-*
29
+ - config_name: art_studies
30
+ data_files:
31
+ - split: test
32
+ path: art_studies/test-*
33
+ - split: val
34
+ path: art_studies/val-*
35
+ - split: dev
36
+ path: art_studies/dev-*
37
+ - config_name: basic_medicine
38
+ data_files:
39
+ - split: test
40
+ path: basic_medicine/test-*
41
+ - split: val
42
+ path: basic_medicine/val-*
43
+ - split: dev
44
+ path: basic_medicine/dev-*
45
+ - config_name: business_administration
46
+ data_files:
47
+ - split: test
48
+ path: business_administration/test-*
49
+ - split: val
50
+ path: business_administration/val-*
51
+ - split: dev
52
+ path: business_administration/dev-*
53
+ - config_name: chinese_language_and_literature
54
+ data_files:
55
+ - split: test
56
+ path: chinese_language_and_literature/test-*
57
+ - split: val
58
+ path: chinese_language_and_literature/val-*
59
+ - split: dev
60
+ path: chinese_language_and_literature/dev-*
61
+ - config_name: civil_servant
62
+ data_files:
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+ - split: test
64
+ path: civil_servant/test-*
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+ - split: val
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+ path: civil_servant/val-*
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+ - split: dev
68
+ path: civil_servant/dev-*
69
+ - config_name: clinical_medicine
70
+ data_files:
71
+ - split: test
72
+ path: clinical_medicine/test-*
73
+ - split: val
74
+ path: clinical_medicine/val-*
75
+ - split: dev
76
+ path: clinical_medicine/dev-*
77
+ - config_name: college_chemistry
78
+ data_files:
79
+ - split: test
80
+ path: college_chemistry/test-*
81
+ - split: val
82
+ path: college_chemistry/val-*
83
+ - split: dev
84
+ path: college_chemistry/dev-*
85
+ - config_name: college_economics
86
+ data_files:
87
+ - split: test
88
+ path: college_economics/test-*
89
+ - split: val
90
+ path: college_economics/val-*
91
+ - split: dev
92
+ path: college_economics/dev-*
93
+ - config_name: college_physics
94
+ data_files:
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+ - split: test
96
+ path: college_physics/test-*
97
+ - split: val
98
+ path: college_physics/val-*
99
+ - split: dev
100
+ path: college_physics/dev-*
101
+ - config_name: college_programming
102
+ data_files:
103
+ - split: test
104
+ path: college_programming/test-*
105
+ - split: val
106
+ path: college_programming/val-*
107
+ - split: dev
108
+ path: college_programming/dev-*
109
+ - config_name: computer_architecture
110
+ data_files:
111
+ - split: test
112
+ path: computer_architecture/test-*
113
+ - split: val
114
+ path: computer_architecture/val-*
115
+ - split: dev
116
+ path: computer_architecture/dev-*
117
+ - config_name: computer_network
118
+ data_files:
119
+ - split: test
120
+ path: computer_network/test-*
121
+ - split: val
122
+ path: computer_network/val-*
123
+ - split: dev
124
+ path: computer_network/dev-*
125
+ - config_name: discrete_mathematics
126
+ data_files:
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+ - split: test
128
+ path: discrete_mathematics/test-*
129
+ - split: val
130
+ path: discrete_mathematics/val-*
131
+ - split: dev
132
+ path: discrete_mathematics/dev-*
133
+ - config_name: education_science
134
+ data_files:
135
+ - split: test
136
+ path: education_science/test-*
137
+ - split: val
138
+ path: education_science/val-*
139
+ - split: dev
140
+ path: education_science/dev-*
141
+ - config_name: electrical_engineer
142
+ data_files:
143
+ - split: test
144
+ path: electrical_engineer/test-*
145
+ - split: val
146
+ path: electrical_engineer/val-*
147
+ - split: dev
148
+ path: electrical_engineer/dev-*
149
+ - config_name: environmental_impact_assessment_engineer
150
+ data_files:
151
+ - split: test
152
+ path: environmental_impact_assessment_engineer/test-*
153
+ - split: val
154
+ path: environmental_impact_assessment_engineer/val-*
155
+ - split: dev
156
+ path: environmental_impact_assessment_engineer/dev-*
157
+ - config_name: fire_engineer
158
+ data_files:
159
+ - split: test
160
+ path: fire_engineer/test-*
161
+ - split: val
162
+ path: fire_engineer/val-*
163
+ - split: dev
164
+ path: fire_engineer/dev-*
165
+ - config_name: high_school_biology
166
+ data_files:
167
+ - split: test
168
+ path: high_school_biology/test-*
169
+ - split: val
170
+ path: high_school_biology/val-*
171
+ - split: dev
172
+ path: high_school_biology/dev-*
173
+ - config_name: high_school_chemistry
174
+ data_files:
175
+ - split: test
176
+ path: high_school_chemistry/test-*
177
+ - split: val
178
+ path: high_school_chemistry/val-*
179
+ - split: dev
180
+ path: high_school_chemistry/dev-*
181
+ - config_name: high_school_chinese
182
+ data_files:
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+ - split: test
184
+ path: high_school_chinese/test-*
185
+ - split: val
186
+ path: high_school_chinese/val-*
187
+ - split: dev
188
+ path: high_school_chinese/dev-*
189
+ - config_name: high_school_geography
190
+ data_files:
191
+ - split: test
192
+ path: high_school_geography/test-*
193
+ - split: val
194
+ path: high_school_geography/val-*
195
+ - split: dev
196
+ path: high_school_geography/dev-*
197
+ - config_name: high_school_history
198
+ data_files:
199
+ - split: test
200
+ path: high_school_history/test-*
201
+ - split: val
202
+ path: high_school_history/val-*
203
+ - split: dev
204
+ path: high_school_history/dev-*
205
+ - config_name: high_school_mathematics
206
+ data_files:
207
+ - split: test
208
+ path: high_school_mathematics/test-*
209
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  ---
1991
 
1992
  C-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disciplines and four difficulty levels. Please visit our [website](https://cevalbenchmark.com/) and [GitHub](https://github.com/SJTU-LIT/ceval/tree/main) or check our [paper](https://arxiv.org/abs/2305.08322) for more details.
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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
2
- #
3
- # Licensed under the Apache License, Version 2.0 (the "License");
4
- # you may not use this file except in compliance with the License.
5
- # You may obtain a copy of the License at
6
- #
7
- # http://www.apache.org/licenses/LICENSE-2.0
8
- #
9
- # Unless required by applicable law or agreed to in writing, software
10
- # distributed under the License is distributed on an "AS IS" BASIS,
11
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
- # See the License for the specific language governing permissions and
13
- # limitations under the License.
14
- import os
15
-
16
- import datasets
17
- import pandas as pd
18
-
19
-
20
- _CITATION = """\
21
- @article{huang2023ceval,
22
- title={C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models},
23
- author={Huang, Yuzhen and Bai, Yuzhuo and Zhu, Zhihao and Zhang, Junlei and Zhang, Jinghan and Su, Tangjun and Liu, Junteng and Lv, Chuancheng and Zhang, Yikai and Lei, Jiayi and Fu, Yao and Sun, Maosong and He, Junxian},
24
- journal={arXiv preprint arXiv:2305.08322},
25
- year={2023}
26
- }
27
- """
28
-
29
- _DESCRIPTION = """\
30
- C-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disciplines and four difficulty levels.
31
- """
32
-
33
- _HOMEPAGE = "https://cevalbenchmark.com"
34
-
35
- _LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License"
36
-
37
- _URL = r"https://huggingface.co/datasets/ceval/ceval-exam/resolve/main/ceval-exam.zip"
38
-
39
- task_list = [
40
- "computer_network",
41
- "operating_system",
42
- "computer_architecture",
43
- "college_programming",
44
- "college_physics",
45
- "college_chemistry",
46
- "advanced_mathematics",
47
- "probability_and_statistics",
48
- "discrete_mathematics",
49
- "electrical_engineer",
50
- "metrology_engineer",
51
- "high_school_mathematics",
52
- "high_school_physics",
53
- "high_school_chemistry",
54
- "high_school_biology",
55
- "middle_school_mathematics",
56
- "middle_school_biology",
57
- "middle_school_physics",
58
- "middle_school_chemistry",
59
- "veterinary_medicine",
60
- "college_economics",
61
- "business_administration",
62
- "marxism",
63
- "mao_zedong_thought",
64
- "education_science",
65
- "teacher_qualification",
66
- "high_school_politics",
67
- "high_school_geography",
68
- "middle_school_politics",
69
- "middle_school_geography",
70
- "modern_chinese_history",
71
- "ideological_and_moral_cultivation",
72
- "logic",
73
- "law",
74
- "chinese_language_and_literature",
75
- "art_studies",
76
- "professional_tour_guide",
77
- "legal_professional",
78
- "high_school_chinese",
79
- "high_school_history",
80
- "middle_school_history",
81
- "civil_servant",
82
- "sports_science",
83
- "plant_protection",
84
- "basic_medicine",
85
- "clinical_medicine",
86
- "urban_and_rural_planner",
87
- "accountant",
88
- "fire_engineer",
89
- "environmental_impact_assessment_engineer",
90
- "tax_accountant",
91
- "physician",
92
- ]
93
-
94
-
95
- class CevalExamConfig(datasets.BuilderConfig):
96
- def __init__(self, **kwargs):
97
- super().__init__(version=datasets.Version("1.0.0"), **kwargs)
98
-
99
-
100
- class CevalExam(datasets.GeneratorBasedBuilder):
101
- BUILDER_CONFIGS = [
102
- CevalExamConfig(
103
- name=task_name,
104
- )
105
- for task_name in task_list
106
- ]
107
-
108
- def _info(self):
109
- features = datasets.Features(
110
- {
111
- "id":datasets.Value("int32"),
112
- "question": datasets.Value("string"),
113
- "A": datasets.Value("string"),
114
- "B": datasets.Value("string"),
115
- "C": datasets.Value("string"),
116
- "D": datasets.Value("string"),
117
- "answer": datasets.Value("string"),
118
- "explanation":datasets.Value("string"),
119
- }
120
- )
121
- return datasets.DatasetInfo(
122
- description=_DESCRIPTION,
123
- features=features,
124
- homepage=_HOMEPAGE,
125
- license=_LICENSE,
126
- citation=_CITATION,
127
- )
128
-
129
- def _split_generators(self, dl_manager):
130
- data_dir = dl_manager.download_and_extract(_URL)
131
- task_name = self.config.name
132
- return [
133
- datasets.SplitGenerator(
134
- name=datasets.Split.TEST,
135
- gen_kwargs={
136
- "filepath": os.path.join(
137
- data_dir, "test", f"{task_name}_test.csv"
138
- ),
139
- },
140
- ),
141
- datasets.SplitGenerator(
142
- name=datasets.Split("val"),
143
- gen_kwargs={
144
- "filepath": os.path.join(
145
- data_dir, "val", f"{task_name}_val.csv"
146
- ),
147
- },
148
- ),
149
- datasets.SplitGenerator(
150
- name=datasets.Split("dev"),
151
- gen_kwargs={
152
- "filepath": os.path.join(
153
- data_dir, "dev", f"{task_name}_dev.csv"
154
- ),
155
- },
156
- ),
157
- ]
158
-
159
- def _generate_examples(self, filepath):
160
- df = pd.read_csv(filepath,encoding="utf-8")
161
- for i, instance in enumerate(df.to_dict(orient="records")):
162
- if "answer" not in instance.keys():
163
- instance["answer"]=""
164
- if "explanation" not in instance.keys():
165
- instance["explanation"]=""
166
- yield i, instance
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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