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--- |
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dataset_info: |
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features: |
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- name: prompt |
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dtype: string |
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- name: reference_code |
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dtype: string |
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- name: code_context |
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dtype: string |
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- name: problem_id |
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dtype: int64 |
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- name: library_problem_id |
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dtype: int64 |
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- name: library |
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dtype: |
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class_label: |
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names: |
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'0': Matplotlib |
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'1': Numpy |
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'2': Pandas |
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'3': Pytorch |
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'4': Scipy |
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'5': Sklearn |
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'6': Tensorflow |
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- name: test_case_cnt |
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dtype: int64 |
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- name: perturbation_type |
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dtype: |
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class_label: |
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names: |
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'0': Difficult-Rewrite |
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'1': Origin |
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'2': Semantic |
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'3': Surface |
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- name: perturbation_origin_id |
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dtype: int64 |
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splits: |
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- name: test |
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num_bytes: 3136179 |
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num_examples: 1000 |
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download_size: 712717 |
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dataset_size: 3136179 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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license: cc-by-sa-4.0 |
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language: |
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- code |
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task_categories: |
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- text2text-generation |
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tags: |
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- code-generation |
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arxiv: 2211.11501 |
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--- |
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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: |
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| Column | Type | |
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|----------------------|-----------------------------------------------------------------------------------------------------------| |
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|problem_id |`Value(dtype='int64', id=None)` | |
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|prompt |`Value(dtype='string', id=None)` | |
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|reference_code |`Value(dtype='string', id=None)` | |
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|code_context |`Value(dtype='string', id=None)` | |
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|library_problem_id |`Value(dtype='int64', id=None)` | |
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|library |`ClassLabel(names=['Matplotlib', 'Numpy', 'Pandas', 'Pytorch', 'Scipy', 'Sklearn', 'Tensorflow'], id=None)`| |
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|test_case_cnt |`Value(dtype='int64', id=None)` | |
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|perturbation_type |`ClassLabel(names=['Difficult-Rewrite', 'Origin', 'Semantic', 'Surface'], id=None)` | |
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|perturbation_origin_id|`Value(dtype='int64', id=None)` | |
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All credits go to the original authors below. |
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--- |
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<h1 align="center"> DS-1000 in simplified format </h1> |
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See testing code and more information in the [DS-1000 repo](https://github.com/xlang-ai/DS-1000/). |
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Reformatting credits: Yuhang Lai, Sida Wang |
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