Jev-Style-2B-Decision-v4: weights, runtime, reference code, card
3f2c063 verified 4 days ago
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{
 "model": "chaoliangUNSW/Jev-Style-2B-Decision-v4",
 "note": "Every source in the training rows of this model (88 sources). licence_recorded = the licence field stored with the rows in the training pool (one entry per distinct value; 'generated...' = generated for this project). components = the mixture-table rows of the model card. link = the dataset repository the rows were built from (the mirror when one was used), where one exists. origin = rows reused from the v3 training pool or built for v4. Per-source row counts are not listed. Check each source's own terms before use; see 'Training data and licences' on the model card.",
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   "share_alike": true,
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   "id": "generated:v4fam/stance_sarcasm",
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   "id": "google-deepmind/habermas_machine (train; mirror mjang01011/cs329x-habermas-dataset)",
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   "origin": "v3 training pool (reused)"
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   "link": "https://huggingface.co/datasets/AmazonScience/massive",
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   "note": "BANKING77 by PolyAI: CC BY 4.0 upstream (https://huggingface.co/datasets/PolyAI/banking77); rows taken from the MTEB mirror, whose card says MIT; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
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   ],
   "link": "https://huggingface.co/datasets/naver-clova-ix/cord-v2",
   "origin": "v4"
  },
  {
   "id": "neuralchemy/Prompt-injection-dataset",
   "components": [
    "Safety themes"
   ],
   "licence_recorded": [
    "apache-2.0",
    "cc-by-4.0",
    "mit"
   ],
   "link": "https://huggingface.co/datasets/neuralchemy/Prompt-injection-dataset",
   "note": "the upstream rows its card marks research-only were removed",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "nvidia/HelpSteer2",
   "components": [
    "Judging and scoring"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/nvidia/HelpSteer2",
   "note": "responses mostly written by NVIDIA Nemotron models and Mixtral-8x7B-Instruct; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API); part of the rows use the dataset's own human rating distributions as soft labels",
   "origin": "v4"
  },
  {
   "id": "nvidia/HelpSteer3",
   "components": [
    "Judging and scoring"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/nvidia/HelpSteer3",
   "note": "responses written by language models (rated by humans); part of the rows use the dataset's own human rating distributions as soft labels",
   "origin": "v4"
  },
  {
   "id": "nvidia/When2Call",
   "components": [
    "Tools and automation"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/nvidia/When2Call",
   "note": "synthetic tool-use conversations generated with language models by NVIDIA; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "openai/gsm8k",
   "components": [
    "Knowledge and reasoning"
   ],
   "licence_recorded": [
    "mit"
   ],
   "link": "https://huggingface.co/datasets/openai/gsm8k",
   "note": "part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "openlifescienceai/medmcqa",
   "components": [
    "Knowledge and reasoning"
   ],
   "licence_recorded": [
    "apache-2.0"
   ],
   "link": "https://huggingface.co/datasets/openlifescienceai/medmcqa",
   "note": "part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "ParticleMedia/RAGTruth (train; mirror wandb/RAGTruth-processed)",
   "components": [
    "Retrieval and classification"
   ],
   "licence_recorded": [
    "mit"
   ],
   "link": "https://huggingface.co/datasets/wandb/RAGTruth-processed",
   "note": "upstream github.com/ParticleMedia/RAGTruth (MIT); responses written by language models (hallucination spans annotated by humans); part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "rajpurkar/squad_v2",
   "components": [
    "Safety themes"
   ],
   "licence_recorded": [
    "cc-by-sa-4.0"
   ],
   "link": "https://huggingface.co/datasets/rajpurkar/squad_v2",
   "share_alike": true,
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "Rowan/hellaswag",
   "components": [
    "Language understanding"
   ],
   "licence_recorded": [
    "mit"
   ],
   "link": "https://huggingface.co/datasets/Rowan/hellaswag",
   "note": "MIT only in the card text (no licence field); the original GitHub repository is blocked after a DMCA notice from wikiHow; only the ActivityNet-caption items were used; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "stanfordnlp/contract-nli",
   "components": [
    "Language understanding"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://github.com/stanfordnlp/contract-nli",
   "note": "part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "stanfordnlp/snli",
   "components": [
    "Language understanding"
   ],
   "licence_recorded": [
    "cc-by-sa-4.0"
   ],
   "link": "https://huggingface.co/datasets/stanfordnlp/snli",
   "note": "SNLI train pairs plus adversarial hypotheses written by a Claude / GPT model, kept where two blind labeler models agree; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "share_alike": true,
   "origin": "v4"
  },
  {
   "id": "synth-v4:algo_reasoning",
   "components": [
    "Knowledge and reasoning"
   ],
   "licence_recorded": [
    "generated"
   ],
   "link": null,
   "note": "generated for this project; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "synth:causal_graph_scm",
   "components": [
    "Knowledge and reasoning"
   ],
   "licence_recorded": [
    "generated"
   ],
   "link": null,
   "note": "generated for this project; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "synth:clinical_trial_reports",
   "components": [
    "Language understanding"
   ],
   "licence_recorded": [
    "generated"
   ],
   "link": null,
   "note": "generated for this project; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "synth:reasoning_relevance",
   "components": [
    "Retrieval and classification"
   ],
   "licence_recorded": [
    "generated"
   ],
   "link": null,
   "note": "generated for this project; part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "tasksource/esci",
   "components": [
    "Retrieval and classification"
   ],
   "licence_recorded": [
    "apache-2.0"
   ],
   "link": "https://huggingface.co/datasets/tasksource/esci",
   "note": "part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "tau/commonsense_qa",
   "components": [
    "Knowledge and reasoning"
   ],
   "licence_recorded": [
    "mit"
   ],
   "link": "https://huggingface.co/datasets/tau/commonsense_qa",
   "note": "part of the rows use soft labels distilled from TypeSafe Jev 1.14 (via its public API)",
   "origin": "v4"
  },
  {
   "id": "teacher:themes_jailbreak",
   "components": [
    "Safety themes"
   ],
   "licence_recorded": [
    "generated:claude-opus-5.5"
   ],
   "link": null,
   "note": "jailbreak and toxicity prompts written and labelled by an Anthropic Claude model",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "theatticusproject/maud",
   "components": [
    "Public reading tasks"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/theatticusproject/maud",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "tonytan48/TempReason",
   "components": [
    "Public reading tasks"
   ],
   "licence_recorded": [
    "cc-by-sa-3.0"
   ],
   "link": "https://huggingface.co/datasets/tonytan48/TempReason",
   "share_alike": true,
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "TrustAIRLab/in-the-wild-jailbreak-prompts",
   "components": [
    "Safety themes"
   ],
   "licence_recorded": [
    "mit"
   ],
   "link": "https://huggingface.co/datasets/TrustAIRLab/in-the-wild-jailbreak-prompts",
   "note": "prompts from the jailbreak_llms collection, which states it is for research purposes only",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "typed_synthetic",
   "components": [
    "Typed decisions (v3)"
   ],
   "licence_recorded": [
    "generated"
   ],
   "link": null,
   "note": "model-written business workflows: designed by OpenAI GPT and Anthropic Claude models, labelled by Claude models",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "ucinlp/drop",
   "components": [
    "Public reading tasks"
   ],
   "licence_recorded": [
    "cc-by-sa-4.0"
   ],
   "link": "https://huggingface.co/datasets/ucinlp/drop",
   "share_alike": true,
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "UCLNLP/sharc",
   "components": [
    "Public reading tasks"
   ],
   "licence_recorded": [
    "cc-by-sa-3.0"
   ],
   "link": "https://huggingface.co/datasets/UCLNLP/sharc",
   "share_alike": true,
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "VQAv2 (train sample; mirror lmms-lab/VQAv2)",
   "components": [
    "Images"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/lmms-lab/VQAv2",
   "note": "images: COCO train2014 (Flickr photos under their own licences, COCO terms of use)",
   "origin": "v4"
  },
  {
   "id": "wenhu/tab_fact",
   "components": [
    "Public reading tasks"
   ],
   "licence_recorded": [
    "cc-by-4.0"
   ],
   "link": "https://huggingface.co/datasets/wenhu/tab_fact",
   "origin": "v3 training pool (reused)"
  },
  {
   "id": "yanismiraoui/prompt_injections",
   "components": [
    "Safety themes"
   ],
   "licence_recorded": [
    "apache-2.0"
   ],
   "link": "https://huggingface.co/datasets/yanismiraoui/prompt_injections",
   "origin": "v3 training pool (reused)"
  }
 ]
}