princeton-nlp/SWE-bench_Lite_bm25_13K
Dataset Summary SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 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_Lite_bm25_13K includes a formatting of each… See the full description on the dataset page: https://huggingface.co/datasets/princeton-nlp/SWE-bench_Lite_bm25_13K.
| Author / organization | princeton-nlp |
|---|---|
| Downloads | 373 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 March 2024 |
| Last updated at source | 15 April 2024 |
Popularity, last 3 days
373 now (-14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Dataset Summary SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 popular Python. Evaluation is performed by uni → Dataset Summary SWE-bench Lite is subset of SWE-bench, a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 300 test Issue-Pull Request pairs from 11 popular Python. Evaluation is performed by uni
Changes detected by Silytics between refreshes of the source.
More from princeton-nlp
- princeton-nlp/SWE-bench_VerifiedDataset
- princeton-nlp/SWE-benchDataset
- princeton-nlp/SWE-bench_LiteDataset
- princeton-nlp/CharXivDataset
- princeton-nlp/SWE-bench_MultimodalDataset
- princeton-nlp/prolong-data-64KDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.