Datasets:
Tasks:
Text2Text Generation
Formats:
parquet
Languages:
code
Size:
1K - 10K
Tags:
code-generation
License:
| dataset_info: | |
| features: | |
| - name: prompt | |
| dtype: string | |
| - name: reference_code | |
| dtype: string | |
| - name: code_context | |
| dtype: string | |
| - name: problem_id | |
| dtype: int64 | |
| - name: library_problem_id | |
| dtype: int64 | |
| - name: library | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Matplotlib | |
| '1': Numpy | |
| '2': Pandas | |
| '3': Pytorch | |
| '4': Scipy | |
| '5': Sklearn | |
| '6': Tensorflow | |
| - name: test_case_cnt | |
| dtype: int64 | |
| - name: perturbation_type | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Difficult-Rewrite | |
| '1': Origin | |
| '2': Semantic | |
| '3': Surface | |
| - name: perturbation_origin_id | |
| dtype: int64 | |
| splits: | |
| - name: test | |
| num_bytes: 3136179 | |
| num_examples: 1000 | |
| download_size: 712717 | |
| dataset_size: 3136179 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| license: cc-by-sa-4.0 | |
| language: | |
| - code | |
| task_categories: | |
| - text2text-generation | |
| tags: | |
| - code-generation | |
| arxiv: 2211.11501 | |
| This is a reupload of [DS-1000](https://huggingface.co/datasets/xlangai/DS-1000). The metadata dictionary has been extracted into columns and the categorical variables are now `ClassLabel` types, and the dataset is natively a parquet. The features are as follows: | |
| | Column | Type | | |
| |----------------------|-----------------------------------------------------------------------------------------------------------| | |
| |problem_id |`Value(dtype='int64', id=None)` | | |
| |prompt |`Value(dtype='string', id=None)` | | |
| |reference_code |`Value(dtype='string', id=None)` | | |
| |code_context |`Value(dtype='string', id=None)` | | |
| |library_problem_id |`Value(dtype='int64', id=None)` | | |
| |library |`ClassLabel(names=['Matplotlib', 'Numpy', 'Pandas', 'Pytorch', 'Scipy', 'Sklearn', 'Tensorflow'], id=None)`| | |
| |test_case_cnt |`Value(dtype='int64', id=None)` | | |
| |perturbation_type |`ClassLabel(names=['Difficult-Rewrite', 'Origin', 'Semantic', 'Surface'], id=None)` | | |
| |perturbation_origin_id|`Value(dtype='int64', id=None)` | | |
| All credits go to the original authors below. | |
| --- | |
| <h1 align="center"> DS-1000 in simplified format </h1> | |
| See testing code and more information in the [DS-1000 repo](https://github.com/xlang-ai/DS-1000/). | |
| Reformatting credits: Yuhang Lai, Sida Wang | |