README.md

---
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
- multiple-choice
- question-answering
language:
- zh
pretty_name: C-Eval
size_categories:
- 10K<n<100K
configs:
- config_name: accountant
  data_files:
  - split: test
    path: accountant/test-*
  - split: val
    path: accountant/val-*
  - split: dev
    path: accountant/dev-*
- config_name: advanced_mathematics
  data_files:
  - split: test
    path: advanced_mathematics/test-*
  - split: val
    path: advanced_mathematics/val-*
  - split: dev
    path: advanced_mathematics/dev-*
- config_name: art_studies
  data_files:
  - split: test
    path: art_studies/test-*
  - split: val
    path: art_studies/val-*
  - split: dev
    path: art_studies/dev-*
- config_name: basic_medicine
  data_files:
  - split: test
    path: basic_medicine/test-*
  - split: val
    path: basic_medicine/val-*
  - split: dev
    path: basic_medicine/dev-*
- config_name: business_administration
  data_files:
  - split: test
    path: business_administration/test-*
  - split: val
    path: business_administration/val-*
  - split: dev
    path: business_administration/dev-*
dataset_info:
- config_name: accountant
  features:
  - name: id
    dtype: int32
  - name: question
    dtype: string
  - name: A
    dtype: string
  - name: B
    dtype: string
  - name: C
    dtype: string
  - name: D
    dtype: string
  - name: answer
    dtype: string
  - name: explanation
    dtype: string
  splits:
  - name: test
    num_bytes: 176917
    num_examples: 443
  - name: val
    num_bytes: 19549
    num_examples: 49
  - name: dev
    num_bytes: 3414
    num_examples: 5
  download_size: 151233
  dataset_size: 199880
- config_name: advanced_mathematics
  features:
  - name: id
    dtype: int32
  - name: question
    dtype: string
  - name: A
    dtype: string
  - name: B
    dtype: string
  - name: C
    dtype: string
  - name: D
    dtype: string
  - name: answer
    dtype: string
  - name: explanation
    dtype: string
  splits:
  - name: test
    num_bytes: 50031
    num_examples: 173
  - name: val
    num_bytes: 5331
    num_examples: 19
  - name: dev
    num_bytes: 7012
    num_examples: 5
  download_size: 50962
  dataset_size: 62374
- config_name: art_studies
  features:
  - name: id
    dtype: int32
  - name: question
    dtype: string
  - name: A
    dtype: string
  - name: B
    dtype: string
  - name: C
    dtype: string
  - name: D
    dtype: string
  - name: answer
    dtype: string
  - name: explanation
    dtype: string
  splits:
  - name: test
    num_bytes: 41227
    num_examples: 298
  - name: val
    num_bytes: 4581
    num_examples: 33
  - name: dev
    num_bytes: 1439
    num_examples: 5
  download_size: 46524
  dataset_size: 47247
- config_name: basic_medicine
  features:
  - name: id
    dtype: int32
  - name: question
    dtype: string
  - name: A
    dtype: string
  - name: B
    dtype: string
  - name: C
    dtype: string
  - name: D
    dtype: string
  - name: answer
    dtype: string
  - name: explanation
    dtype: string
  splits:
  - name: test
    num_bytes: 28820
    num_examples: 175
  - name: val
    num_bytes: 2627
    num_examples: 19
  - name: dev
    num_bytes: 1825
    num_examples: 5
  download_size: 37360
  dataset_size: 33272
- config_name: business_administration
  features:
  - name: id
    dtype: int32
  - name: question
    dtype: string
  - name: A
    dtype: string
  - name: B
    dtype: string
  - name: C
    dtype: string
  - name: D
    dtype: string
  - name: answer
    dtype: string
  - name: explanation
    dtype: string
  splits:
  - name: test
    num_bytes: 78387
    num_examples: 301
  - name: val
    num_bytes: 9225
    num_examples: 33
  - name: dev
    num_bytes: 3155
    num_examples: 5
  download_size: 75885
  dataset_size: 90767
---

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.

Each subject consists of three splits: dev, val, and test.  The dev set per subject consists of five exemplars with explanations for few-shot evaluation. The val set is intended to be used for hyperparameter tuning. And the test set is for model evaluation. Labels on the test split are not released, users are required to submit their results to automatically obtain test accuracy. [How to submit?](https://github.com/SJTU-LIT/ceval/tree/main#how-to-submit)

### Load the data
```python
from datasets import load_dataset
dataset=load_dataset(r"ceval/ceval-exam",name="computer_network")

print(dataset['val'][0])
# {'id': 0, 'question': '使用位填充方法，以01111110为位首flag，数据为011011111111111111110010，求问传送时要添加几个0____', 'A': '1', 'B': '2', 'C': '3', 'D': '4', 'answer': 'C', 'explanation': ''}
```
More details on loading and using the data are at our [github page](https://github.com/SJTU-LIT/ceval#data).

Please cite our paper if you use our dataset.
```
@article{huang2023ceval,
title={C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models}, 
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},
journal={arXiv preprint arXiv:2305.08322},
year={2023}
}
```