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swebench-verified500-tasks

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18
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End of preview. Expand in Data Studio

SWE-bench Verified 500 题任务包 / Task Packages

中文

本数据集保存项目冻结的 500 道 SWE-bench Verified 派生 Harbor 任务。data/verified500.jsonl 逐题给出任务 ID、归档内路径和本项目的 NOP/Oracle 验收状态；tasks.tar.gz 包含 500 个任务目录，每个目录含题面、环境定义、测试与参考解法。任务镜像和原始评测作业不在本仓库。

其中 10 题未通过本项目的 NOP/Oracle 验收，已在元数据中标为 project_eval_usable=false：

  • NOP 基线 reward 非 0（2 题）：django__django-10097、django__django-7530。
  • Oracle reward 非 1（4 题）：astropy__astropy-13398、astropy__astropy-7606、sphinx-doc__sphinx-10435、sphinx-doc__sphinx-9711。
  • NOP 与 Oracle 验证器均超时（4 题）：psf__requests-2317、sphinx-doc__sphinx-7985、sphinx-doc__sphinx-8269、sphinx-doc__sphinx-8475。

这些分类仅说明本项目当时的验收结果，不能推断题目本身无效，也不是 SWE-bench 官方排除项。

冻结任务身份为 swebench-verified-500-v1，语义 SHA-256 为 b8c548be48911e9e540555837b3611de9ff6b278a032ceb41e1cb52d1f4ddc65。SHA256SUMS 提供发布文件哈希。下载完整仓库后可解压任务包：

tar -xzf tasks.tar.gz

归档包含参考解法和测试材料；公开后不应把它视为未公开盲测集，也不应将参考解法送入待评测 Agent 的提示词。任务来源涉及多个上游仓库，使用者须分别核对其许可证。

支持该项目

数据、开发、GPU和CPU等训练的费用均由我自行承担。如果您觉得这个模型对您有用，并希望资助更大的数据集和未来的开源版本，可以给我点赞，留言。

English

This dataset contains 500 frozen Harbor tasks derived from SWE-bench Verified. data/verified500.jsonl records each task ID, archive path, and project NOP/Oracle validation status. tasks.tar.gz holds 500 task directories with problem statements, environment definitions, tests, and reference solutions. Task images and original evaluation jobs are not included.

Ten tasks did not pass this project's NOP/Oracle checks and are marked project_eval_usable=false:

  • NOP baseline reward was not 0 (2): django__django-10097, django__django-7530.
  • Oracle reward was not 1 (4): astropy__astropy-13398, astropy__astropy-7606, sphinx-doc__sphinx-10435, sphinx-doc__sphinx-9711.
  • Both NOP and Oracle verifiers timed out (4): psf__requests-2317, sphinx-doc__sphinx-7985, sphinx-doc__sphinx-8269, sphinx-doc__sphinx-8475.

These categories describe this project's checks at the time. They do not imply that the tasks themselves are invalid, and they are not official SWE-bench exclusions.

The frozen task identity is swebench-verified-500-v1, with semantic SHA-256 b8c548be48911e9e540555837b3611de9ff6b278a032ceb41e1cb52d1f4ddc65. SHA256SUMS lists hashes of released files. After downloading the full repository, extract the task archive with:

tar -xzf tasks.tar.gz

The archive contains reference solutions and test material. It is not an unseen blind test set, and reference solutions must not be placed in the evaluated Agent's prompt. Tasks come from multiple upstream repositories; users should check their respective licenses.

Support This Project

I personally cover the costs of data, development, GPU and CPU training. If you find this model useful and would like to support larger datasets and future open-source releases, please give it a like and leave a comment.
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