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nebius /SWE-bench-extraNote: This dataset has an improved and significantly larger successor: SWE-rebench. Dataset Summary SWE-bench Extra is a dataset that can be used to train or evaluate agentic systems specializing in resolving GitHub issues. It is based on the methodology used to build SWE-bench benchmark and includes 6,415 Issue-Pull Request pairs sourced from 1,988 Python repositories. Dataset Description The SWE-bench Extra dataset supports the development of software engineering agents… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-bench-extra.text1K<n<10K48 likes42k downloads1y agoHugging Faceextraordinarylab /commonsense-qatext10K<n<100K0 likes20k downloads11mo agoHugging Facellamaindex /ExtractBench ExtractBench Quick links: [🌐 Website] [📜 Paper] [💻 Code] Given a document and a schema, a system returns structured data with evidence. The input is a full document, born-digital or scanned, and a schema written by the user. The output is a schema-valid JSON object, with the source page and a bounding box for each value as evidence. It must return correct, exhaustive values (including repeated records), correctly use null for absent information, and ground each extracted… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ExtractBench.documentn<1K32 likes19k downloads1mo agoHugging Faceextraordinarylab /qasctext1K<n<10K0 likes13k downloads11mo agoHugging Faceorionweller /chunk-ext0 likes7.8k downloads2y agoHugging Faceextraordinarylab /siqatext10K<n<100K0 likes6.8k downloads11mo agoHugging Face