| | --- |
| | language: |
| | - code |
| | - en |
| | license: mit |
| | task_categories: |
| | - text-generation |
| | pretty_name: RepoExec-Instruct |
| | viewer: true |
| | --- |
| | |
| |
|
| |
|
| | ## Table of Contents |
| | - [Dataset Summary](#dataset-summary) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [Usage](#usage) |
| | - [Additional Information](#additional-information) |
| | - - [Other Resources](#other-resources) |
| | - [Licensing Information](#licensing-information) |
| | - [Citation Information](#citation-information) |
| | - [Contributions](#contributions) |
| |
|
| |
|
| | ## Dataset Description |
| |
|
| | - **Repository:** [FSoft-AI4Code/RepoExec](https://github.com/FSoft-AI4Code/RepoExec) |
| | - **Paper:** [RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark](https://arxiv.org/html/2406.11927v1) |
| | - **Contact:** support.ailab@fpt.com |
| | - **Website:** https://www.fpt-aicenter.com/ai-residency/ |
| |
|
| | |
| | # RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark |
| |
|
| |
|
| | ## Dataset Summary |
| | This source contains the instruction-tuning dataset to fine-tune models in our work. |
| |
|
| | ## Dataset Structure |
| | ### Data Instances |
| | ``` |
| | { |
| | "id": 0, |
| | "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", |
| | "docstring": |
| | } |
| | ``` |
| | ### Data Fields |
| |
|
| | Data fields for inline level: |
| | - **id** (string): the unique id |
| | - **prompt** (string): sequence to fine-tune LM |
| | - **docstring** (string): docstring of the target function. If docstring is not None, instruction template is applied; otherwise raw format or small context is applied. |
| |
|
| |
|
| | ### Data Splits |
| |
|
| | The instruction tuning dataset is not split and only contains `data` subset. |
| |
|
| |
|
| | ## Usage |
| | You can load this dataset using datasets library: ```pip install datasets``` |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load full dataset |
| | dataset = load_dataset("Fsoft-AIC/RepoExec-Instruct") |
| | ``` |
| |
|
| |
|
| | ## Additional Information |
| | ### Other Resources: |
| | - Github: https://github.com/FSoft-AI4Code/RepoExec |
| | - Webpage: https://fsoft-ai4code.github.io/repoexec |
| | - Leaderboard: https://repoexec.github.io |
| | - Paper: https://arxiv.org/html/2406.11927v1 |
| |
|
| |
|
| | ### Licensing Information |
| | MIT License |
| |
|
| | ### Citation Information |
| |
|
| | ``` |
| | @article{nam2024repoexec, |
| | title={RepoExec: Evaluate Code Generation with a Repository-Level Executable Benchmark}, |
| | author={Hai, Nam Le and Manh, Dung Nguyen and Bui, Nghi DQ}, |
| | journal={arXiv preprint arXiv:2406.11927v1}, |
| | year={2024} |
| | } |
| | ``` |
| |
|
| | ### Contributions |
| | This dataset is developed by [FSOFT AI4Code team](https://github.com/FSoft-AI4Code). |
| |
|
