Download sources.json from shenjunhao/mmdm: direct link, hf CLI and curl.
- Browser
- Download file 15.3 kB
-
https://huggingface.co/datasets/shenjunhao/mmdm/resolve/main/sources.json
- Command line
-
hf download hf://datasets/shenjunhao/mmdm/sources.json
-
curl -L -o sources.json https://huggingface.co/datasets/shenjunhao/mmdm/resolve/main/sources.json
15.3 kB
| [ | |
| { | |
| "source": "OpenJev-Decision-pilot", | |
| "rows": 260, | |
| "categories": [ | |
| "constraint_planning", | |
| "evidence_validation", | |
| "policy_exception", | |
| "quantitative_temporal_reasoning", | |
| "score_rubric", | |
| "tool_skill_selection" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "adaptive_rag", | |
| "rows": 267, | |
| "categories": [ | |
| "intent_routing" | |
| ], | |
| "urls": [ | |
| "https://github.com/starsuzi/Adaptive-RAG" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "ag_news", | |
| "rows": 18, | |
| "categories": [ | |
| "intent_routing" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/fancyzhx/ag_news" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "arc", | |
| "rows": 3, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/ai2_arc" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "banking77", | |
| "rows": 2, | |
| "categories": [ | |
| "intent_routing" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/PolyAI/banking77" | |
| ], | |
| "recorded_terms": [ | |
| "CC-BY-4.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "bfcl_v4", | |
| "rows": 4, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [ | |
| "https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "bird_mini_dev", | |
| "rows": 80, | |
| "categories": [ | |
| "code_database" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/birdsql/bird_mini_dev" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "boolq", | |
| "rows": 52, | |
| "categories": [ | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://github.com/google-research-datasets/boolean-questions" | |
| ], | |
| "recorded_terms": [ | |
| "CC-BY-SA-3.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "codecontests", | |
| "rows": 45, | |
| "categories": [ | |
| "code_database" | |
| ], | |
| "urls": [ | |
| "https://github.com/google-deepmind/code_contests" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "complexfuncbench_agent_context", | |
| "rows": 167, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/zai-org/ComplexFuncBench" | |
| ], | |
| "recorded_terms": [ | |
| "Apache-2.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "contractnli", | |
| "rows": 128, | |
| "categories": [ | |
| "policy_exception" | |
| ], | |
| "urls": [ | |
| "https://stanfordnlp.github.io/contract-nli/" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "cosmosqa", | |
| "rows": 75, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://github.com/wilburOne/cosmosqa" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "cruxeval", | |
| "rows": 60, | |
| "categories": [ | |
| "code_database" | |
| ], | |
| "urls": [ | |
| "https://github.com/facebookresearch/cruxeval" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "dair_emotion", | |
| "rows": 77, | |
| "categories": [ | |
| "emotion_recognition" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/dair-ai/emotion" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "enron_spam", | |
| "rows": 15, | |
| "categories": [ | |
| "evidence_validation" | |
| ], | |
| "urls": [ | |
| "https://www2.aueb.gr/users/ion/data/enron-spam/" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "finqa", | |
| "rows": 6, | |
| "categories": [ | |
| "quantitative_temporal_reasoning" | |
| ], | |
| "urls": [ | |
| "https://github.com/czyssrs/FinQA" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "freshqa", | |
| "rows": 165, | |
| "categories": [ | |
| "quantitative_temporal_reasoning" | |
| ], | |
| "urls": [ | |
| "https://github.com/freshllms/freshqa" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "go_emotions", | |
| "rows": 101, | |
| "categories": [ | |
| "emotion_recognition" | |
| ], | |
| "urls": [ | |
| "https://github.com/google-research/google-research/tree/master/goemotions" | |
| ], | |
| "recorded_terms": [ | |
| "Apache-2.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "hellaswag", | |
| "rows": 15, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://rowanzellers.com/hellaswag/" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "helpsteer2", | |
| "rows": 70, | |
| "categories": [ | |
| "answer_preference" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/nvidia/HelpSteer2" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "hover", | |
| "rows": 39, | |
| "categories": [ | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://github.com/hover-nlp/hover" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "humaneval_plus", | |
| "rows": 1, | |
| "categories": [ | |
| "code_database" | |
| ], | |
| "urls": [ | |
| "https://github.com/evalplus/humanevalplus_release/releases/tag/v0.1.10" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "if_rlvr_adapted", | |
| "rows": 15, | |
| "categories": [ | |
| "evidence_validation" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/IF_multi_constraints_upto5" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "judgebench", | |
| "rows": 36, | |
| "categories": [ | |
| "answer_preference" | |
| ], | |
| "urls": [ | |
| "https://github.com/ScalerLab/JudgeBench" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "logiqa2", | |
| "rows": 141, | |
| "categories": [ | |
| "deductive_reasoning" | |
| ], | |
| "urls": [ | |
| "https://github.com/csitfun/LogiQA2.0" | |
| ], | |
| "recorded_terms": [ | |
| "CC-BY-NC-SA-4.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "longbench_pro", | |
| "rows": 3, | |
| "categories": [ | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/caskcsg/LongBench-Pro" | |
| ], | |
| "recorded_terms": [ | |
| "Apache-2.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "longbench_v2", | |
| "rows": 164, | |
| "categories": [ | |
| "agent_state_tracking", | |
| "code_database", | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://github.com/THUDM/LongBench" | |
| ], | |
| "recorded_terms": [ | |
| "Apache-2.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "massive", | |
| "rows": 44, | |
| "categories": [ | |
| "intent_routing" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/AmazonScience/massive" | |
| ], | |
| "recorded_terms": [ | |
| "CC-BY-4.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "mathqa", | |
| "rows": 50, | |
| "categories": [ | |
| "quantitative_temporal_reasoning" | |
| ], | |
| "urls": [ | |
| "https://math-qa.github.io/" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "mmdm_context_state_programs", | |
| "rows": 441, | |
| "categories": [ | |
| "agent_state_tracking" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmdm_v2_mutual_reports", | |
| "rows": 359, | |
| "categories": [ | |
| "option_logic" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmdm_v2_practical_plans", | |
| "rows": 240, | |
| "categories": [ | |
| "constraint_planning" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmdm_v2_revision_workflow", | |
| "rows": 250, | |
| "categories": [ | |
| "workflow_decision" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmdm_v2_sampled_rubric", | |
| "rows": 598, | |
| "categories": [ | |
| "score_rubric" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmdm_v2_transactional_state", | |
| "rows": 80, | |
| "categories": [ | |
| "agent_state_tracking" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "mmlu_auxiliary", | |
| "rows": 6, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/cais/mmlu" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "mmlu_pro", | |
| "rows": 3, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "more_skillbank_review_v2_routing", | |
| "rows": 31, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "musique", | |
| "rows": 18, | |
| "categories": [ | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://github.com/StonyBrookNLP/musique" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "new_program_composition", | |
| "rows": 152, | |
| "categories": [ | |
| "option_logic" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "openbookqa", | |
| "rows": 10, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/openbookqa" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "piqa", | |
| "rows": 28, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/ybisk/piqa" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "public_style_executable", | |
| "rows": 157, | |
| "categories": [ | |
| "evidence_validation", | |
| "policy_exception", | |
| "quantitative_temporal_reasoning", | |
| "reading_comprehension", | |
| "score_rubric" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [ | |
| "MIT (original MMDM contributions)" | |
| ], | |
| "type": "constructed mechanism" | |
| }, | |
| { | |
| "source": "qasc", | |
| "rows": 23, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/qasc" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "quality", | |
| "rows": 156, | |
| "categories": [ | |
| "reading_comprehension" | |
| ], | |
| "urls": [ | |
| "https://github.com/nyu-mll/quality" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "retrievalqa", | |
| "rows": 154, | |
| "categories": [ | |
| "evidence_validation" | |
| ], | |
| "urls": [ | |
| "https://github.com/hyintell/RetrievalQA" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "reward_bench_2", | |
| "rows": 68, | |
| "categories": [ | |
| "answer_preference" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/reward-bench-2" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "rm_bench", | |
| "rows": 59, | |
| "categories": [ | |
| "answer_preference" | |
| ], | |
| "urls": [ | |
| "https://github.com/THU-KEG/RM-Bench" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "ruletaker", | |
| "rows": 73, | |
| "categories": [ | |
| "deductive_reasoning" | |
| ], | |
| "urls": [ | |
| "https://github.com/allenai/ruletaker" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "sciq", | |
| "rows": 12, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/sciq" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "skilldag", | |
| "rows": 47, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "skillsbench", | |
| "rows": 18, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [ | |
| "https://github.com/benchflow-ai/skillsbench" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "snli", | |
| "rows": 57, | |
| "categories": [ | |
| "deductive_reasoning" | |
| ], | |
| "urls": [ | |
| "https://nlp.stanford.edu/projects/snli/" | |
| ], | |
| "recorded_terms": [ | |
| "CC-BY-SA-4.0" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "social_iqa", | |
| "rows": 76, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/social_i_qa" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "spider", | |
| "rows": 12, | |
| "categories": [ | |
| "code_database" | |
| ], | |
| "urls": [ | |
| "https://yale-lily.github.io/spider" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "tatqa", | |
| "rows": 3, | |
| "categories": [ | |
| "quantitative_temporal_reasoning" | |
| ], | |
| "urls": [ | |
| "https://github.com/NExTplusplus/TAT-QA" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "toolcall_risk", | |
| "rows": 3, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "toolret", | |
| "rows": 14, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/hugFu/ToolRet-Queries" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "tooltalk_agent_context", | |
| "rows": 72, | |
| "categories": [ | |
| "tool_skill_selection" | |
| ], | |
| "urls": [ | |
| "https://github.com/microsoft/ToolTalk" | |
| ], | |
| "recorded_terms": [ | |
| "MIT" | |
| ], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "toxic_chat", | |
| "rows": 65, | |
| "categories": [ | |
| "policy_exception" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/lmsys/toxic-chat" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "winogrande", | |
| "rows": 22, | |
| "categories": [ | |
| "world_knowledge" | |
| ], | |
| "urls": [ | |
| "https://huggingface.co/datasets/allenai/winogrande" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| }, | |
| { | |
| "source": "xnli", | |
| "rows": 38, | |
| "categories": [ | |
| "evidence_validation" | |
| ], | |
| "urls": [ | |
| "https://github.com/facebookresearch/XNLI" | |
| ], | |
| "recorded_terms": [], | |
| "type": "source adaptation" | |
| } | |
| ] | |