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xiaoy1028/SWE-bench_Lite_bm25_500k

SWE-bench_Lite Generated via https://github.com/SWE-bench/SWE-bench/blob/main/swebench/inference/make_datasets/README.md Set k=100 to generated the bm25 search results first, and then use both k=100 and max_context_len=500000 to generate the dataset. Patch file recall: 90.67; higher than the official princeton-nlp/SWE-bench_Lite_bm25_13K (recall=33.67) and princeton-nlp/SWE-bench_Lite_bm25_27K (recall=49.00)

sourceHugging Faceupdated 2y agoView on Hugging Face
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SWE-benchLite Generated via https://github.com/SWE-bench/SWE-bench/blob/main/swebench/inference/makedatasets/README.md

Set k=100 to generated the bm25 search results first, and then use both k=100 and maxcontextlen=500000 to generate the dataset.

Patch file recall: 90.67; higher than the official princeton-nlp/SWE-benchLitebm2513K (recall=33.67) and princeton-nlp/SWE-benchLitebm2527K (recall=49.00)