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co/datasets/ByteDance-Seed/Multi-SWE-bench"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"judge\": \"execution-based patch validation\", \"metric_type\": \"pct\", \"multimodal_input\": false, \"notes\": \"Official sources are the ByteDance-Seed/Multi-SWE-bench HuggingFace dataset
from the top result below
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
\", \"range\": [0, 100], \"sampling\": \"pass@1; public harness default maxTurns=20\", \"tools\": \"agentic MCP servers in the official containerized harness\", \"version\": \"MCP-Atlas public 500-task HuggingFace release\"}"},"in_paper_matrix":{"kind":"bool","value":true,"string":"true"}}},{"rowIdx":9,"cells":
https://huggingface.co/papers?q=reflective%20essays
com/rosewang2008/sight","githubRepoAddedBy":"auto","ai_summary":"A dataset and automated methods using large language models classify online student feedback efficiently, enhancing teacher improvement from lectures
https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency