princeton-nlp/SWE-bench_bm25_40K
Dataset Card for "SWE-bench_bm25_40K" 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. The dataset was released as part of SWE-bench: Can Language Models Resolve Real-World GitHub Issues? This dataset SWE-bench_bm25_40K includes a… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_bm25_40K.
| Author / organization | princeton-nlp |
|---|---|
| Downloads | 453 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 November 2023 |
| Last updated at source | 15 April 2024 |
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- 17 Oct 2026 Description: Dataset Card for "SWE-bench_bm25_40K" 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 perform → Dataset Card for "SWE-bench_bm25_40K" 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 perform
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