{"schema":"record/v1","id":"art_01M5M8CZKP11FQJQ2S5EZQHTF3","type":"article","revision":2,"etag":"\"r2.s0\"","title":"For speech and video datasets, how often does the dataset licence disagree with the terms of the underlying sources, and where can I see the per-dataset records?","summary":"Corrected 2026-10-23 - see C3-B643-05; the original statements below are kept for history and are superseded where the correction says so. The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.","status":"active","body":{"text":"The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.\n\nCurator correction 2026-10-23 (discovery audit record C3-B643-05; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Problem. The earlier finding repeats that over 80 percent of content in each modality has restrictions in its sources. Conditions. arXiv 2412.17847v2 (19 Feb 2025). Method. The introduction says over 80 percent of content from each modality carries undocumented restrictions, but the results text gives non-commercial source restrictions on 99.8 percent of text quantities, 78 percent of speech and 99 percent of video. The 25, 33 and 32 percent licence figures, the 3916 dataset count and the 79, 55 and 65 percent main-text inconsistency figures were re-checked and match. Failure modes. Quoting 'over 80% in each modality' for speech overstates the paper's own body figure by about two points; cite the per-modality numbers. Limitations. The two statements may use slightly different denominators; the paper does not reconcile them. Version and date. v2 fetched 2026-10-23.\n\nCurator qualifications: Internal wording inconsistency: the summary bullet applies 25% to all three modalities, while the body gives 25/33/32%; cite the body figures with definitions. Appendix disagreement percentages (73.0/55.0/21.6, E4) and the related web-domain audit (S30) not reinspected. Enforceability of terms is outside the paper scope (producer E5). Text and JSON only; audit figures are author-reported.\n\nLimitations: Author-reported audit.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/pdf/2412.17847","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://github.com/Data-Provenance-Initiative/Data-Provenance-Collection/blob/ce6662deccf011574427b6f112df479d261960b8/README.md","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://github.com/Data-Provenance-Initiative/Data-Provenance-Collection/blob/ce6662deccf011574427b6f112df479d261960b8/data_summaries-speech/AMI.json","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://arxiv.org/pdf/2407.14933","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://arxiv.org/pdf/2412.17847v2","note":"correction source (record C3-B643-05): Section discussing Figure 2 (data source terms versus dataset licences), second paragraph"}]},"categories":["T06","T09","T13","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/pdf/2412.17847","claim":"The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.","locator":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-3b34f7586ac377214363dd1492b97f5d3ec49b2a/record.json#p-3b34f7586ac377214363dd1492b97f5d3ec49b2a/record","import_batch_id":"pipe-31914667782cb0d0a117f745d761ae14b1bb9e7e","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-31914667782cb0d0a117f745d761ae14b1bb9e7e","original":{"body":{"text":"The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.\n\nCurator qualifications: Internal wording inconsistency: the summary bullet applies 25% to all three modalities, while the body gives 25/33/32%; cite the body figures with definitions. Appendix disagreement percentages (73.0/55.0/21.6, E4) and the related web-domain audit (S30) not reinspected. Enforceability of terms is outside the paper scope (producer E5). Text and JSON only; audit figures are author-reported.\n\nLimitations: Author-reported audit.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/pdf/2412.17847","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://github.com/Data-Provenance-Initiative/Data-Provenance-Collection/blob/ce6662deccf011574427b6f112df479d261960b8/README.md","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://github.com/Data-Provenance-Initiative/Data-Provenance-Collection/blob/ce6662deccf011574427b6f112df479d261960b8/data_summaries-speech/AMI.json","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"},{"url":"https://arxiv.org/pdf/2407.14933","note":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de"}]},"tags":[],"type":"article","links":[],"title":"For speech and video datasets, how often does the dataset licence disagree with the terms of the underlying sources, and where can I see the per-dataset records?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.","evidence":{"claims":[{"url":"https://arxiv.org/pdf/2412.17847","claim":"The Data Provenance Initiative's 2025 audit (arXiv 2412.17847v2) reports, for 3916 datasets, that 25%, 33% and 32% of text, speech and video datasets carry non-commercial licences but that most of their source content carries non-commercial restrictions through source terms (author-reported); its released AMI record lists the dataset licence as CC BY 4.0 while the GitHub licence inferred from a converter repository (AMICorpusXML) is MIT, and Papers with Code reports Unspecified.","locator":"arXiv 2412.17847v2 PDF (pdftotext lines 29-30, 149, 169, 212-213, 637-645); Data-Provenance-Collection data_summaries-speech/AMI.json at ce6662de","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T06","T09","T13","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T13.03","CAT:T20.03"],"confidence":"Low for quoted text.","limitations":["Author-reported audit.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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The earlier finding repeats that over 80 percent of content in each modality has restrictions in its sources. Conditions. arXiv 2412.17847v2 (19 Feb 2025). Method. The introduction says over 80 percent of content from each modality carries undocumented restrictions, but the results text gives non-commercial source restrictions on 99.8 percent of text quantities, 78 percent of speech and 99 percent of video. The 25, 33 and 32 percent licence figures, the 3916 dataset count and the 79, 55 and 65 percent main-text inconsistency figures were re-checked and match. Failure modes. Quoting 'over 80% in each modality' for speech overstates the paper's own body figure by about two points; cite the per-modality numbers. Limitations. The two statements may use slightly different denominators; the paper does not reconcile them. Version and date. v2 fetched 2026-10-23.\n\nCurator qualifications: Internal wording inconsistency: the summary bullet applies 25% to all three modalities, while the body gives 25/33/32%; cite the body figures with definitions. Appendix disagreement percentages (73.0/55.0/21.6, E4) and the related web-domain audit (S30) not reinspected. Enforceability of terms is outside the paper scope (producer E5). 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