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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/microsoft/models
8/site-packages/transformers/processing_utils
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
https://huggingface.co/microsoft
8/site-packages/transformers/processing_utils
https://huggingface.co/microsoft/spaces
8/site-packages/transformers/processing_utils
https://huggingface.co/tlodato
space","stage":"READY"}]},"title":"Fuyu Compare","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false,"visibility":"public"},{"author":"tlodato","authorData":{"_id":"648b7d548e7f7a92766cd79d","avatarUrl":"/avatars/a8764212e6300ec166e8eabd052741ac
https://huggingface.co/microsoft/papers
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https://huggingface.co/k8si
com/jelyazko/","type":"user","_id":"64548986cd09ceba0e1709cb","isPro":false,"avatarUrl":"https://cdn-avatars
https://huggingface.co/koboldcpp
co/koboldcpp/tts\" rel=\"nofollow\">tts</a> - Contains text to speech models for KoboldCpp<br><a href=\"https://
huggingface https://huggingface.co/Mozilla/models
</p>\n<p>Find more about us at <a href=\"https://www
https://huggingface.co/docs/hub/jobs-examples
com/huggingface/transformers/main/examples/pytorch/image-classification/run_image_classification
https://huggingface.co/Mozilla
</p>\n<p>Find more about us at <a href=\"https://www
https://huggingface.co/Mozilla/datasets
</p>\n<p>Find more about us at <a href=\"https://www
https://huggingface.co/organizations/Mozilla/activity/all
</p>\n<p>Find more about us at <a href=\"https://www
https://huggingface.co/papers?q=role-play
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https://huggingface.co/baidu/Unlimited-OCR
co/datasets/llamaindex/ParseBench","name":"ParseBench","isExternal":true,"author":{"_id":"6980fe7cc9e5d7013d527b3a","avatarUrl":"https://cdn-avatars
https://huggingface.co/datasets/Mozilla/smart-form-fill-value-generation
Hugging Face
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HuggingChat
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https://huggingface.co/datasets/teknium/OpenHermes-2.5
,"Taco Seasoning Recipe":1,"Invite collaborator privately.":1,"提高自律能力":1,"Stinky Doge Coin Rap":1,"エクセル：文字列の結合 (Excel: Concatenating Strings)":1}}}},{"name":"topic","align":"right","type":"null","statistics