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--- |
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language: |
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- code |
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- en |
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license: mit |
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task_categories: |
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- text-generation |
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pretty_name: RepoExec-Instruct |
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viewer: true |
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--- |
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## Table of Contents |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Usage](#usage) |
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- [Additional Information](#additional-information) |
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- - [Other Resources](#other-resources) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Repository:** [FSoft-AI4Code/RepoExec](https://github.com/FSoft-AI4Code/RepoExec) |
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- **Paper:** [RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark](https://arxiv.org/html/2406.11927v1) |
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- **Contact:** [email protected] |
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- **Website:** https://www.fpt-aicenter.com/ai-residency/ |
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# RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark |
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## Dataset Summary |
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This source contains the instruction-tuning dataset to fine-tune models in our work. |
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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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"id": 0, |
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"prompt": "import base64\nimport random\nimport unicodedata\nimport zlib\nfrom typing import Union\nfrom uuid import uuid4\nfrom ._regex import *\nfrom .errors import InvalidInputError\nfrom .validation import is_snake_case, is_full_string, is_camel_case, is_integer, is_string\n\nclass InvalidInputError(TypeError):\n \"\"\"\n Custom error raised when received object is not a string as expected.\n \"\"\"\n\n def __init__(self, input_data: Any):\n \"\"\"\n :param input_data: Any received object\n \"\"\"\n type_name = type(input_data).__name__\n msg = 'Expected \"str\", received \"{}\"'.format(type_name)\n super().__init__(msg)\n\ndef is_string(obj: Any) -> bool:\n \"\"\"\n Checks if an object is a string.\n\n *Example:*\n\n >>> is_string('foo') # returns true\n >>> is_string(b'foo') # returns false\n\n :param obj: Object to test.\n :return: True if string, false otherwise.\n \"\"\"\n return isinstance(obj, str)\n\ndef reverse(input_string: str) -> str:\n \"\"\"\n Returns the string with its chars reversed.\n\n *Example:*\n\n >>> reverse('hello') # returns 'olleh'\n\n :param input_string: String to revert.\n :type input_string: str\n :return: Reversed string.\n \"\"\"\n", |
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"docstring": |
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} |
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``` |
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### Data Fields |
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Data fields for inline level: |
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- **id** (string): the unique id |
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- **prompt** (string): sequence to fine-tune LM |
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- **docstring** (string): docstring of the target function. If docstring is not None, instruction template is applied; otherwise raw format or small context is applied. |
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### Data Splits |
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The instruction tuning dataset is not split and only contains `data` subset. |
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## Usage |
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You can load this dataset using datasets library: ```pip install datasets``` |
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```python |
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from datasets import load_dataset |
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# Load full dataset |
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dataset = load_dataset("Fsoft-AIC/RepoExec-Instruct") |
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``` |
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## Additional Information |
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### Other Resources: |
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- Github: https://github.com/FSoft-AI4Code/RepoExec |
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- Webpage: https://fsoft-ai4code.github.io/repoexec |
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- Leaderboard: https://repoexec.github.io |
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- Paper: https://arxiv.org/html/2406.11927v1 |
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### Licensing Information |
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MIT License |
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### Citation Information |
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``` |
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@article{nam2024repoexec, |
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title={RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark}, |
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author={Hai, Nam Le and Manh, Dung Nguyen and Bui, Nghi DQ}, |
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journal={arXiv preprint arXiv:2406.11927v1}, |
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year={2024} |
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} |
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``` |
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### Contributions |
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This dataset is developed by [FSOFT AI4Code team](https://github.com/FSoft-AI4Code). |
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