SWE-bench_oracle_llama

### Dataset Summary
SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python. Evaluation is performed by unit test verification using post-PR behavior as the reference solution.

### Supported Tasks and Leaderboards
SWE-bench proposes a new task: issue resolution provided a full repository and GitHub issue. The leaderboard can be found at www.swebench.com

### Languages

The text of the dataset is primarily English, but we make no effort to filter or otherwise clean based on language type.

## Dataset Structure

### Data Instances
An example of a SWE-bench datum is as follows:

```
instance_id: (str) - A formatted instance identifier, usually as repo_owner__repo_name-PR-number.
patch: (str) - The gold patch, the patch generated by the PR (minus test-related code), that resolved the issue.
repo: (str) - The repository owner/name identifier from GitHub.
base_commit: (str) - The commit hash of the repository representing the HEAD of the repository before the solution PR is applied.
hints_text: (str) - Comments made on the issue prior to the creation of the solution PR’s first commit creation date.
created_at: (str) - The creation date of the pull request.
test_patch: (str) - A test-file patch that was contributed by the solution PR.
problem_statement: (str) - The issue title and body.
version: (str) - Installation version to use for running evaluation.
environment_setup_commit: (str) - commit hash to use for environment setup and installation.
FAIL_TO_PASS: (str) - A json list of strings that represent the set of tests resolved by the PR and tied to the issue resolution.
PASS_TO_PASS: (str) - A json list of strings that represent tests that should pass before and after the PR application.
text: (str) - The generated text according to the retrieval criterion and the style-2 prompt found in [github:SWE-bench](https://github.com/princeton-nlp/SWE-bench).
input_ids: (List[int]) - The llama tokens for each text.
```
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 数据集概述
SWE-bench是一个用于测试系统自动解决GitHub议题能力的数据集。该数据集从12个热门Python（Python）项目中收集了2294条议题-拉取请求（Issue-Pull Request）对。评估采用单元测试（unit test）验证方式，以拉取请求（Pull Request，下文简称PR）合并后的行为作为参考解决方案。

### 支持任务与排行榜
SWE-bench提出了一项全新任务：在提供完整代码仓库与GitHub议题的前提下完成议题修复。相关排行榜可通过网址www.swebench.com访问。

### 语言类型
本数据集的文本主体为英语，且未针对语言类型进行过滤或其他清理操作。

## 数据集结构

### 数据实例
SWE-bench的单条数据示例如下：

instance_id: (str) - 格式化后的实例标识符，通常采用repo_owner__repo_name-PR-number格式。
patch: (str) - 黄金补丁（gold patch），即由拉取请求生成的补丁（不含测试相关代码），用于解决对应议题。
repo: (str) - GitHub上的仓库所有者/名称标识符。
base_commit: (str) - 仓库的提交哈希值（commit hash），代表解决方案拉取请求应用前的仓库HEAD版本。
hints_text: (str) - 在解决方案拉取请求的首次提交创建日期之前，发布在该议题下的评论内容。
created_at: (str) - 拉取请求的创建日期。
test_patch: (str) - 由解决方案拉取请求贡献的测试文件补丁。
problem_statement: (str) - 议题的标题与正文内容。
version: (str) - 运行评估所需的安装版本。
environment_setup_commit: (str) - 用于环境搭建与安装的提交哈希值（commit hash）。
FAIL_TO_PASS: (str) - 由JSON格式字符串组成的列表，代表该拉取请求所解决且与议题修复相关的测试集合。
PASS_TO_PASS: (str) - 由JSON格式字符串组成的列表，代表在拉取请求应用前后均应通过的测试集合。
text: (str) - 依据检索准则与[github:SWE-bench](https://github.com/princeton-nlp/SWE-bench)中提及的样式2提示生成的文本。
input_ids: (List[int]) - 对应每条文本的Llama Token（Token）序列。

[更多信息待补充](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)