{ "name": "What each data card standard asks a dataset to document", "title": "What each data card standard asks a dataset to document", "kind": "terms-board", "url": "https://datacardgenerator.com/datasets/datacardgenerator-rules-from-primary-source/", "csv": "https://datacardgenerator.com/datasets/datacardgenerator-rules-from-primary-source.csv", "markdown": "https://datacardgenerator.com/datasets/datacardgenerator-rules-from-primary-source/index.md", "computed_at": "2026-10-08", "license": "https://datacardgenerator.com/terms", "headline": "6 published standards and legal templates say what a dataset's documentation must contain, each quoted from its own text, read 8 October 2026.", "quotes": [ "6 published standards and legal templates say what a dataset's documentation must contain, each quoted from its own text, read 8 October 2026.", "Binding or voluntary, by standard: a voluntary standard or format 3 of 6, a legal obligation 2 of 6, not stated 1 of 6 (6 standards, read 8 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"documents": [ { "document": "California AB 2013 bill text", "url": "https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240AB2013", "value": "law", "quote": "On or before January 1, 2026, and before each time thereafter that a generative artificial intelligence system or service" } ] }, "sources": { "value": "yes", "text": "asks for the data's sources or provenance", "documents": [ { "document": "California AB 2013 bill text", "url": "https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240AB2013", "value": "yes", "quote": "(1) The sources or owners of the datasets." } ] }, "personal": { "value": "yes", "text": "asks whether personal data is included", "documents": [ { "document": "California AB 2013 bill text", "url": "https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240AB2013", "value": "yes", "quote": "(7) Whether the datasets include personal information, as defined in subdivision (v) of Section 1798.140." } ] }, "fields": { "value": "stated", "text": "A high-level summary of the datasets used in the development of the generative artificial…", "documents": [ { "document": "California AB 2013 bill text", "url": "https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240AB2013", "value": "stated", "quote": "A high-level summary of the datasets used in the development of the generative artificial intelligence system or service, including, but not limited to:" } ] } } }, { "name": "Croissant (MLCommons)", "answers": { "binding": { "value": "voluntary", "text": "a voluntary standard or format", "documents": [ { "document": "Croissant format specification", "url": "https://docs.mlcommons.org/croissant/docs/croissant-spec.html", "value": "not-stated", "quote": "" }, { "document": "MLCommons Croissant working group page", "url": "https://mlcommons.org/working-groups/data/croissant/", "value": "voluntary", "quote": "Croissant is an open, community-built, standardized metadata vocabulary for ML datasets" }, { "document": "Google Research blog: Croissant", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "value": "not-stated", "quote": "" } ] }, "sources": { "value": "yes", "text": "asks for the data's sources or provenance", "documents": [ { "document": "Croissant format specification", "url": "https://docs.mlcommons.org/croissant/docs/croissant-spec.html", "value": "not-stated", "quote": "" }, { "document": "MLCommons Croissant working group page", "url": "https://mlcommons.org/working-groups/data/croissant/", "value": "yes", "quote": "Croissant provides machine-readable descriptions of dataset provenance and permissions" }, { "document": "Google Research blog: Croissant", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "value": "not-stated", "quote": "" } ] }, "personal": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Croissant format specification", "url": "https://docs.mlcommons.org/croissant/docs/croissant-spec.html", "value": "not-stated", "quote": "" }, { "document": "MLCommons Croissant working group page", "url": "https://mlcommons.org/working-groups/data/croissant/", "value": "not-stated", "quote": "" }, { "document": "Google Research blog: Croissant", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "value": "not-stated", "quote": "" } ] }, "fields": { "value": "stated", "text": "It provides a vocabulary for dataset attributes, streamlining how data is loaded across…", "documents": [ { "document": "Croissant format specification", "url": "https://docs.mlcommons.org/croissant/docs/croissant-spec.html", "value": "stated", "quote": "It provides a vocabulary for dataset attributes, streamlining how data is loaded across ML frameworks such as PyTorch, TensorFlow or JAX." }, { "document": "MLCommons Croissant working group page", "url": "https://mlcommons.org/working-groups/data/croissant/", "value": "stated", "quote": "including key attributes and properties of datasets, as well as information required to load them into ML tools" }, { "document": "Google Research blog: Croissant", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "value": "stated", "quote": "This 1.0 release of Croissant includes a complete specification of the format" } ] } } }, { "name": "Data Cards (Google Research)", "answers": { "binding": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Data Cards paper (arXiv 2204.01075)", "url": "https://arxiv.org/abs/2204.01075", "value": "not-stated", "quote": "" }, { "document": "Data Cards Playbook", "url": "https://sites.research.google/datacardsplaybook/", "value": "not-stated", "quote": "" } ] }, "sources": { "value": "yes", "text": "asks for the data's sources or provenance", "documents": [ { "document": "Data Cards paper (arXiv 2204.01075)", "url": "https://arxiv.org/abs/2204.01075", "value": "yes", "quote": "A clear and thorough understanding of a dataset's origins, development, intent, ethical considerations and evolution" }, { "document": "Data Cards Playbook", "url": "https://sites.research.google/datacardsplaybook/", "value": "yes", "quote": "Is this source considered sensitive or high-risk? [Yes/No]" } ] }, "personal": { "value": "yes", "text": "asks whether personal data is included", "documents": [ { "document": "Data Cards paper (arXiv 2204.01075)", "url": "https://arxiv.org/abs/2204.01075", "value": "not-stated", "quote": "" }, { "document": "Data Cards Playbook", "url": "https://sites.research.google/datacardsplaybook/", "value": "yes", "quote": "(S/PII were collected as a part of the dataset creation process.)" } ] }, "fields": { "value": "stated", "text": "A clear and thorough understanding of a dataset's origins, development, intent, ethical…", "documents": [ { "document": "Data Cards paper (arXiv 2204.01075)", "url": "https://arxiv.org/abs/2204.01075", "value": "stated", "quote": "A clear and thorough understanding of a dataset's origins, development, intent, ethical considerations and evolution" }, { "document": "Data Cards Playbook", "url": "https://sites.research.google/datacardsplaybook/", "value": "stated", "quote": "Data fields that were collected and are included in the dataset." } ] } } }, { "name": "Datasheets for Datasets", "answers": { "binding": { "value": "voluntary", "text": "a voluntary standard or format", "documents": [ { "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "url": "https://arxiv.org/abs/1803.09010", "value": "voluntary", "quote": "we propose datasheets for datasets" } ] }, "sources": { "value": "yes", "text": "asks for the data's sources or provenance", "documents": [ { "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "url": "https://arxiv.org/abs/1803.09010", "value": "yes", "quote": "we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses" } ] }, "personal": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "url": "https://arxiv.org/abs/1803.09010", "value": "not-stated", "quote": "" } ] }, "fields": { "value": "stated", "text": "we propose that every dataset be accompanied with a datasheet that documents its…", "documents": [ { "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "url": "https://arxiv.org/abs/1803.09010", "value": "stated", "quote": "we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses" } ] } } }, { "name": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "answers": { "binding": { "value": "law", "text": "a legal obligation", "documents": [ { "document": "Commission: explanatory notice and template", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "value": "not-stated", "quote": "" }, { "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "value": "law", "quote": "Providers of general-purpose AI models shall:" } ] }, "sources": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Commission: explanatory notice and template", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "value": "not-stated", "quote": "" }, { "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "value": "not-stated", "quote": "" } ] }, "personal": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Commission: explanatory notice and template", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "value": "not-stated", "quote": "" }, { "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "value": "not-stated", "quote": "" } ] }, "fields": { "value": "stated", "text": "The Template annexed to this Explanatory Notice aims to provide a common minimal baseline…", "documents": [ { "document": "Commission: explanatory notice and template", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "value": "stated", "quote": "The Template annexed to this Explanatory Notice aims to provide a common minimal baseline for the information to be made publicly available in the Summary of Training Content" }, { "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "value": "stated", "quote": "draw up and make publicly available a sufficiently detailed summary about the content used for training of the general-purpose AI model, according to a template provided by the AI Office." } ] } } }, { "name": "Hugging Face dataset card", "answers": { "binding": { "value": "voluntary", "text": "a voluntary standard or format", "documents": [ { "document": "Hugging Face Hub docs: dataset cards", "url": "https://huggingface.co/docs/hub/datasets-cards", "value": "voluntary", "quote": "To control how the Hub displays the card, you should create a YAML section in the README file to define some metadata." }, { "document": "hub-docs datasetcard.md (GitHub)", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "value": "not-stated", "quote": "" } ] }, "sources": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Hugging Face Hub docs: dataset cards", "url": "https://huggingface.co/docs/hub/datasets-cards", "value": "not-stated", "quote": "" }, { "document": "hub-docs datasetcard.md (GitHub)", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "value": "not-stated", "quote": "" } ] }, "personal": { "value": "not-stated", "text": "not stated", "documents": [ { "document": "Hugging Face Hub docs: dataset cards", "url": "https://huggingface.co/docs/hub/datasets-cards", "value": "not-stated", "quote": "" }, { "document": "hub-docs datasetcard.md (GitHub)", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "value": "not-stated", "quote": "" } ] }, "fields": { "value": "stated", "text": "A dataset repo will render its README.md as a dataset card.", "documents": [ { "document": "Hugging Face Hub docs: dataset cards", "url": "https://huggingface.co/docs/hub/datasets-cards", "value": "stated", "quote": "A dataset repo will render its README.md as a dataset card." }, { "document": "hub-docs datasetcard.md (GitHub)", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "value": "stated", "quote": "For a template for the human-readable portion of the dataset card, see: datasetcard_template.md file." } ] } } } ] 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"retrieved_at": "2026-10-08", "quote": "including key attributes and properties of datasets, as well as information required to load them into ML tools", "text_sha256": "724bc20d8b804bb2cb04dd0e00ca442c8569bdb561859482d32b8c8293218038" }, { "subject": "Croissant (MLCommons)", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "document": "Google Research blog: Croissant", "question": "binding", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (8,898 characters of text text, read 2026-10-08).", "text_sha256": "f6c16626c8bd3914a78d3a7d21217b50ff9669d11738b7353fe4ee95596b3b7d" }, { "subject": "Croissant (MLCommons)", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "document": "Google Research blog: Croissant", "question": "sources", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (8,898 characters of text text, read 2026-10-08).", "text_sha256": "f6c16626c8bd3914a78d3a7d21217b50ff9669d11738b7353fe4ee95596b3b7d" }, { "subject": "Croissant (MLCommons)", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "document": "Google Research blog: Croissant", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (8,898 characters of text text, read 2026-10-08).", "text_sha256": "f6c16626c8bd3914a78d3a7d21217b50ff9669d11738b7353fe4ee95596b3b7d" }, { "subject": "Croissant (MLCommons)", "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "document": "Google Research blog: Croissant", "question": "fields", "answer": "stated", "answer_text": "This 1.0 release of Croissant includes a complete specification of the format", "status": "stated", "retrieved_at": "2026-10-08", "quote": "This 1.0 release of Croissant includes a complete specification of the format", "text_sha256": "f6c16626c8bd3914a78d3a7d21217b50ff9669d11738b7353fe4ee95596b3b7d" }, { "subject": "Data Cards (Google Research)", "url": "https://arxiv.org/abs/2204.01075", "document": "Data Cards paper (arXiv 2204.01075)", "question": "binding", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (3,651 characters of text text, read 2026-10-08).", "text_sha256": "abbd6049d4b85a7d81db631b58e399cd08587a0d453ddcf2ef94c239d9b505f1" }, { "subject": "Data Cards (Google Research)", "url": "https://arxiv.org/abs/2204.01075", "document": "Data Cards paper (arXiv 2204.01075)", "question": "sources", "answer": "yes", "answer_text": "asks for the data's sources or provenance", "status": "stated", "retrieved_at": "2026-10-08", "quote": "A clear and thorough understanding of a dataset's origins, development, intent, ethical considerations and evolution", "text_sha256": "abbd6049d4b85a7d81db631b58e399cd08587a0d453ddcf2ef94c239d9b505f1" }, { "subject": "Data Cards (Google Research)", "url": "https://arxiv.org/abs/2204.01075", "document": "Data Cards paper (arXiv 2204.01075)", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (3,651 characters of text text, read 2026-10-08).", "text_sha256": "abbd6049d4b85a7d81db631b58e399cd08587a0d453ddcf2ef94c239d9b505f1" }, { "subject": "Data Cards (Google Research)", "url": "https://arxiv.org/abs/2204.01075", "document": "Data Cards paper (arXiv 2204.01075)", "question": "fields", "answer": "stated", "answer_text": "A clear and thorough understanding of a dataset's origins, development, intent, ethical…", "status": "stated", "retrieved_at": "2026-10-08", "quote": "A clear and thorough understanding of a dataset's origins, development, intent, ethical considerations and evolution", "text_sha256": "abbd6049d4b85a7d81db631b58e399cd08587a0d453ddcf2ef94c239d9b505f1" }, { "subject": "Data Cards (Google Research)", "url": "https://sites.research.google/datacardsplaybook/", "document": "Data Cards Playbook", "question": "binding", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (46,306 characters of text text, read 2026-10-08).", "text_sha256": "ffffd75871d430af183c5212b275aac22aac91d0eab10f813ca73d36e30eafdb" }, { "subject": "Data Cards (Google Research)", "url": "https://sites.research.google/datacardsplaybook/", "document": "Data Cards Playbook", "question": "sources", "answer": "yes", "answer_text": "asks for the data's sources or provenance", "status": "stated", "retrieved_at": "2026-10-08", "quote": "Is this source considered sensitive or high-risk? [Yes/No]", "text_sha256": "ffffd75871d430af183c5212b275aac22aac91d0eab10f813ca73d36e30eafdb" }, { "subject": "Data Cards (Google Research)", "url": "https://sites.research.google/datacardsplaybook/", "document": "Data Cards Playbook", "question": "personal", "answer": "yes", "answer_text": "asks whether personal data is included", "status": "stated", "retrieved_at": "2026-10-08", "quote": "(S/PII were collected as a part of the dataset creation process.)", "text_sha256": "ffffd75871d430af183c5212b275aac22aac91d0eab10f813ca73d36e30eafdb" }, { "subject": "Data Cards (Google Research)", "url": "https://sites.research.google/datacardsplaybook/", "document": "Data Cards Playbook", "question": "fields", "answer": "stated", "answer_text": "Data fields that were collected and are included in the dataset.", "status": "stated", "retrieved_at": "2026-10-08", "quote": "Data fields that were collected and are included in the dataset.", "text_sha256": "ffffd75871d430af183c5212b275aac22aac91d0eab10f813ca73d36e30eafdb" }, { "subject": "Datasheets for Datasets", "url": "https://arxiv.org/abs/1803.09010", "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "question": "binding", "answer": "voluntary", "answer_text": "a voluntary standard or format", "status": "stated", "retrieved_at": "2026-10-08", "quote": "we propose datasheets for datasets", "text_sha256": "8d3a2119cc5f2f56cd214a6d216fcce82da3a977254f61640bbf638f81b7399b" }, { "subject": "Datasheets for Datasets", "url": "https://arxiv.org/abs/1803.09010", "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "question": "sources", "answer": "yes", "answer_text": "asks for the data's sources or provenance", "status": "stated", "retrieved_at": "2026-10-08", "quote": "we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses", "text_sha256": "8d3a2119cc5f2f56cd214a6d216fcce82da3a977254f61640bbf638f81b7399b" }, { "subject": "Datasheets for Datasets", "url": "https://arxiv.org/abs/1803.09010", "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (2,911 characters of text text, read 2026-10-08).", "text_sha256": "8d3a2119cc5f2f56cd214a6d216fcce82da3a977254f61640bbf638f81b7399b" }, { "subject": "Datasheets for Datasets", "url": "https://arxiv.org/abs/1803.09010", "document": "Datasheets for Datasets paper (arXiv 1803.09010)", "question": "fields", "answer": "stated", "answer_text": "we propose that every dataset be accompanied with a datasheet that documents its…", "status": "stated", "retrieved_at": "2026-10-08", "quote": "we propose that every dataset be accompanied with a datasheet that documents its motivation, composition, collection process, recommended uses", "text_sha256": "8d3a2119cc5f2f56cd214a6d216fcce82da3a977254f61640bbf638f81b7399b" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "question": "binding", "answer": "law", "answer_text": "a legal obligation", "status": "stated", "retrieved_at": "2026-10-08", "quote": "Providers of general-purpose AI models shall:", "text_sha256": "956c96e312cef95c9e057f3afc16ea18f19aba9d3689eb7acceb5cf65b6328ba" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "question": "sources", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (6,402 characters of text text, read 2026-10-08).", "text_sha256": "956c96e312cef95c9e057f3afc16ea18f19aba9d3689eb7acceb5cf65b6328ba" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (6,402 characters of text text, read 2026-10-08).", "text_sha256": "956c96e312cef95c9e057f3afc16ea18f19aba9d3689eb7acceb5cf65b6328ba" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "document": "AI Act Article 53 (European Commission AI Act Service Desk)", "question": "fields", "answer": "stated", "answer_text": "draw up and make publicly available a sufficiently detailed summary about the content…", "status": "stated", "retrieved_at": "2026-10-08", "quote": "draw up and make publicly available a sufficiently detailed summary about the content used for training of the general-purpose AI model, according to a template provided by the AI Office.", "text_sha256": "956c96e312cef95c9e057f3afc16ea18f19aba9d3689eb7acceb5cf65b6328ba" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "document": "Commission: explanatory notice and template", "question": "binding", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (5,138 characters of text text, read 2026-10-08).", "text_sha256": "6652518985a27a2b824b5b0a00fc2e8d1fd7c39c2047f3b6c41450a453c02df2" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "document": "Commission: explanatory notice and template", "question": "sources", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (5,138 characters of text text, read 2026-10-08).", "text_sha256": "6652518985a27a2b824b5b0a00fc2e8d1fd7c39c2047f3b6c41450a453c02df2" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "document": "Commission: explanatory notice and template", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (5,138 characters of text text, read 2026-10-08).", "text_sha256": "6652518985a27a2b824b5b0a00fc2e8d1fd7c39c2047f3b6c41450a453c02df2" }, { "subject": "EU AI Act training-content summary (Art. 53(1)(d) and template)", "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "document": "Commission: explanatory notice and template", "question": "fields", "answer": "stated", "answer_text": "The Template annexed to this Explanatory Notice aims to provide a common minimal baseline…", "status": "stated", "retrieved_at": "2026-10-08", "quote": "The Template annexed to this Explanatory Notice aims to provide a common minimal baseline for the information to be made publicly available in the Summary of Training Content", "text_sha256": "6652518985a27a2b824b5b0a00fc2e8d1fd7c39c2047f3b6c41450a453c02df2" }, { "subject": "Hugging Face dataset card", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "document": "hub-docs datasetcard.md (GitHub)", "question": "binding", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (2,066 characters of text text, read 2026-10-08).", "text_sha256": "e64b80888edb0b9301490115e979c2216b280bbc2f78db40f3f6bf69458ba496" }, { "subject": "Hugging Face dataset card", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "document": "hub-docs datasetcard.md (GitHub)", "question": "sources", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (2,066 characters of text text, read 2026-10-08).", "text_sha256": "e64b80888edb0b9301490115e979c2216b280bbc2f78db40f3f6bf69458ba496" }, { "subject": "Hugging Face dataset card", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "document": "hub-docs datasetcard.md (GitHub)", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (2,066 characters of text text, read 2026-10-08).", "text_sha256": "e64b80888edb0b9301490115e979c2216b280bbc2f78db40f3f6bf69458ba496" }, { "subject": "Hugging Face dataset card", "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "document": "hub-docs datasetcard.md (GitHub)", "question": "fields", "answer": "stated", "answer_text": "For a template for the human-readable portion of the dataset card, see…", "status": "stated", "retrieved_at": "2026-10-08", "quote": "For a template for the human-readable portion of the dataset card, see: datasetcard_template.md file.", "text_sha256": "e64b80888edb0b9301490115e979c2216b280bbc2f78db40f3f6bf69458ba496" }, { "subject": "Hugging Face dataset card", "url": "https://huggingface.co/docs/hub/datasets-cards", "document": "Hugging Face Hub docs: dataset cards", "question": "binding", "answer": "voluntary", "answer_text": "a voluntary standard or format", "status": "stated", "retrieved_at": "2026-10-08", "quote": "To control how the Hub displays the card, you should create a YAML section in the README file to define some metadata.", "text_sha256": "37b6e6be0872b5b3c6cd95e02b2a7c596945cd45036467d9f7043b80385e16bd" }, { "subject": "Hugging Face dataset card", "url": "https://huggingface.co/docs/hub/datasets-cards", "document": "Hugging Face Hub docs: dataset cards", "question": "sources", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (7,982 characters of text text, read 2026-10-08).", "text_sha256": "37b6e6be0872b5b3c6cd95e02b2a7c596945cd45036467d9f7043b80385e16bd" }, { "subject": "Hugging Face dataset card", "url": "https://huggingface.co/docs/hub/datasets-cards", "document": "Hugging Face Hub docs: dataset cards", "question": "personal", "answer": "not-stated", "answer_text": "not stated", "status": "not-stated", "retrieved_at": "2026-10-08", "quote": "Nothing on this text answers it (7,982 characters of text text, read 2026-10-08).", "text_sha256": "37b6e6be0872b5b3c6cd95e02b2a7c596945cd45036467d9f7043b80385e16bd" }, { "subject": "Hugging Face dataset card", "url": "https://huggingface.co/docs/hub/datasets-cards", "document": "Hugging Face Hub docs: dataset cards", "question": "fields", "answer": "stated", "answer_text": "A dataset repo will render its README.md as a dataset card.", "status": "stated", "retrieved_at": "2026-10-08", "quote": "A dataset repo will render its README.md as a dataset card.", "text_sha256": "37b6e6be0872b5b3c6cd95e02b2a7c596945cd45036467d9f7043b80385e16bd" } ], "sources": [ { "url": "https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models", "label": "European Union (official text)", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "primary-government", "status": "read" }, { "url": "https://docs.mlcommons.org/croissant/docs/croissant-spec.html", "label": "Croissant Format Specification | Croissant site", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://eur-lex.europa.eu/eli/reg/2024/1689/oj", "label": "European Union (official text)", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "primary-government", "status": "not-terms", "why": "EUR-Lex answered a 'temporarily not fully available' notice; the Regulation's text is not in the stored read" }, { "url": "https://arxiv.org/abs/2204.01075", "label": "[2204.01075] Data Cards: Purposeful and Transparent Dataset Documentation for Responsible", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://sites.research.google/datacardsplaybook/", "label": "The Data Cards Playbook - Data Cards Playbook", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://www.nist.gov/itl/ai-risk-management-framework", "label": "NIST AI RMF", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "primary-government", "status": "not-terms", "why": "the NIST AI RMF landing page; it sets no dataset documentation fields in the stored read" }, { "url": "https://mlcommons.org/working-groups/data/croissant/", "label": "Croissant - MLCommons", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://huggingface.co/docs/hub/datasets-cards", "label": "Dataset Cards · Hugging Face", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240AB2013", "label": "California AB 2013", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "primary-government", "status": "read" }, { "url": "https://arxiv.org/abs/1810.03993", "label": "[1810.03993] Model Cards for Model Reporting", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "not-terms", "why": "Model Cards document trained models, not datasets" }, { "url": "https://artificialintelligenceact.eu/article/53/", "label": "AI Act article text mirror", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "secondary", "status": "not-terms", "why": "the charter admits it for: reading aid only; EUR-Lex is the authority" }, { "url": "https://github.com/huggingface/hub-docs/blob/main/datasetcard.md", "label": "hub-docs/datasetcard.md at main · huggingface/hub-docs · GitHub", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://arxiv.org/abs/1803.09010", "label": "[1803.09010] Datasheets for Datasets", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://research.google/blog/croissant-a-metadata-format-for-ml-ready-datasets/", "label": "Croissant: a metadata format for ML-ready datasets", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "first-party-index", "status": "read" }, { "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-53", "label": "European Commission AI Act Service Desk, Article 53: obligations for providers of general-purpose AI models", "license": "cited for reporting; the publisher's own official texts, templates and specifications", "class": "primary-government", "status": "read" } ], "methodology": "Each standard's own official texts, templates and specifications were read through estate-fetch and stored whole (sha256 on every row). For every text, four questions were answered from its own words: binding or voluntary, asks where the data came from, asks about personal data, what it asks the card to contain. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the text read does not address the question. A standard with several texts reads 'varies' where they disagree. 6 standards, 11 texts.", "embed": "
6 published standards and legal templates say what a dataset's documentation must contain, each quoted from its own text, read 8 October 2026.
What each data card standard asks a dataset to document, datacardgenerator.com
" }