princeton-nlp/SWE-bench_bm25_27k_cl100k
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… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_bm25_27k_cl100k.
| Author / organization | princeton-nlp |
|---|---|
| Downloads | 128 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 October 2023 |
| Last updated at source | 15 April 2024 |
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- 17 Oct 2026 Description: 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 pos → 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 pos
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