{ "spxi_instrument": { "method": "0.9", "name": "Capture Registry (longitudinal observation)", "level": 0, "level_name": "Measurement", "url": "https://www.spxi.dev/methods/#m-0-9", "inventory": "https://www.spxi.dev/methods/", "statement": "SPXI instrument: method 0.9 of 87, level 0 (Measurement), Capture Registry (longitudinal observation).", "also": [] }, "slug": "data-provenance-explorer-aio-20261029", "date": "2026-10-29", "surface": "Google AI Overview", "surface_basis": "Operator default of 2026-10-01 (runs begin in the Overview unless he says AI Mode); the 'AI Mode Conversation' paste is the Overview expanded (operator, 2026-10-18).", "surfaces": [ "Google AI Overview" ], "auth": "signed out, incognito", "auth_basis": "Operator default of 2026-10-14.", "ev": "paste", "mt": "THE DATA PROVENANCE EXPLORER ON THE OVERVIEW — NEARLY 4,000 TEXT, SPEECH AND VIDEO DATASETS; THE WEB-DATA AND CONSENT EXPLORERS", "match": "BROAD MATCH", "match_note": null, "s": "Machine Reception", "q": "data provenance explorer", "q_kind": "the name of an entity of the MMRS meta-aggregator (Data Provenance Explorer; record https://www.machinemediation.org/aggregators/data-provenance-explorer/, compiled 2026-10-28), run at the operator's offer on 2026-10-29 to supply the composition layer's account of the entity for its record and its /non row. A baseline: the record landed on machinemediation.org the same night (commit 8997e28) and no card cites it. NEW address.", "cites": 6, "cite_list": [ { "n": 1, "site": "Data Provenance Initiative", "rel": "third_party", "url": null, "title": "Data Provenance Explorer", "snip": "Data Provenance Initiative The Data Provenance Explorer Explore the datasets included in our audit. The DPI Explorer tool allows you to filter for and analyze l...", "note": null }, { "n": 2, "site": "MIT Media Lab", "rel": "third_party", "url": null, "title": "Data Provenance Explorers - MIT Media Lab", "snip": "Share this tool Based on our extensive audits of AI data, we've built data explorers to allow practitioners to make more nuanced and informed decisions about th...", "note": null }, { "n": 3, "site": "Data Provenance Initiative", "rel": "third_party", "url": null, "title": "Data Provenance Initiative", "snip": "Data Provenance Explorer. 4,000+ datasets. Inspect dataset sources, licenses, creators, geographies, modalities, and derivation chains. Explore datasets · Web d...", "note": null }, { "n": 4, "site": "Data Provenance Initiative", "rel": "third_party", "url": null, "title": "Data Provenance Explorer", "snip": "Discover the datasets featured in our audit! The DPI Explorer tool enables you to filter and analyze language model training datasets effortlessly. Dataset Expl...", "note": null }, { "n": 5, "site": "Data Provenance Initiative", "rel": "third_party", "url": null, "title": "Dataset Explorer - Data Provenance Initiative", "snip": "Data Provenance Explorer. > Dataset Explorer. Dataset Explorer. Explore nearly 4,000 text, video, and speech datasets, and their characteristics. Paper Reposito...", "note": null }, { "n": 6, "site": "Cohere", "rel": "third_party", "url": null, "title": "Data Provenance Explorer Launches to Tackle Data Transparency Crisis", "snip": "By Shayne Longpre and Sara Hooker Collectively, these data sets have been downloaded tens of millions of times, and are the backbone of many published NLP break...", "note": null } ], "archive_controlled_cites": 0, "transcript": "[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted. The closing disclaimer cut.]\n\n[QUERENT] data provenance explorer\n\n[SYSTEM] The [Data Provenance Explorer](https://www.google.com/goto?url=CAESbwHrOzAVEvFFned9y_23wqmutxc6ql6K_Me5zHJCXwXwkpqpDnxwO20lk0ZrEIbXSSfLWA1Dn6bnQgSNiAaNWT4D-vyGbt8_mdAU1VXj0ECBzmPaTffoO0H8KoR3kRInaaOSBRf04E5DbU3YER-nSQ) is an interactive audit tool built by the [Data Provenance Initiative](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w) to track, inspect, and filter large language model (LLM) training datasets. [[1](https://www.google.com/goto?url=CAESbAHrOzAVpMiys_Eoyka0BGtdNRS-akOLxRu5f5c1zvJ6lh91uue1ZmQXa5OYV9N1OdJ0IyCZQvoeYeB-U5H9MhgKJ1Jja8YMq7Kf98U4tzkVB3gnsmPr4qDrxpw_5oFCZCCpOZfMAAHhAdJjiw), [2](https://www.google.com/goto?url=CAESkQEB6zswFcZXWfKhfmZALaUw2zhLuHmfZmg92qD0X1pceNeAzYzNRqUxmI9r-LjziEGFTjVDff11daho2EwuXru4dB1EENoZVptVwjs6pN0rNubOZXOfcCqJ90aVuqyiRwI3Eaf29MmjrO3Grg1CHdC88YtwMxHMB0JrmF_Rd3JxnvsZTCdgxHBE0FK8MY3J1-UI), [3](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\nWhat You Can Explore\n\n* Dataset Explorer: Search and filter nearly 4,000 text, speech, and video datasets by creators, original data sources, geographies, modalities, and derivation chains. [[1](https://www.google.com/goto?url=CAESbwHrOzAVEvFFned9y_23wqmutxc6ql6K_Me5zHJCXwXwkpqpDnxwO20lk0ZrEIbXSSfLWA1Dn6bnQgSNiAaNWT4D-vyGbt8_mdAU1VXj0ECBzmPaTffoO0H8KoR3kRInaaOSBRf04E5DbU3YER-nSQ), [2](https://www.google.com/goto?url=CAESgAEB6zswFWm2hryFxhly-kSN-1G3r3zb4kBmow9c-ETq1EhKOXfDl-O1RpXXsxlQWHvxTXkW-KhUHyJS0X_ihetDObmO5hAyLZTRBGZBi4DoVrUjCGDIbgoMaaAju1kE9luXprx7Wh147Qg12FnsuV2fQSNVQFzYGFOqlDHEHD1zUA), [3](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\n* License & Use Case Filtering: Evaluate data strictness ranging from commercial use to academic-only or non-commercial restrictions. [[1](https://www.google.com/goto?url=CAESgAEB6zswFWm2hryFxhly-kSN-1G3r3zb4kBmow9c-ETq1EhKOXfDl-O1RpXXsxlQWHvxTXkW-KhUHyJS0X_ihetDObmO5hAyLZTRBGZBi4DoVrUjCGDIbgoMaaAju1kE9luXprx7Wh147Qg12FnsuV2fQSNVQFzYGFOqlDHEHD1zUA)]\n* Web Data & Consent Explorers: Track shifting data-use preferences and consent signals across thousands of web domains commonly scraped for AI training. [[1](https://www.google.com/goto?url=CAEScgHrOzAVjN3FL0BKd3JKOmHIZ0iwuJgGHKYKc9lwyPB1_vK537yOu6OTRUfgrBbOwGjGYROzF1xdb7JlsDWiQQMlKTOawHm-FSkZxrxuy2WLQZHjQbE7wcjEHULjUT28fKnTNrxM5tMub0qpuqf16wqLiA), [2](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\n\nWould you like to search for a specific dataset or learn how to filter for commercial-use licenses in the explorer?\nData Provenance Initiative\nData Provenance Explorer\nData Provenance Initiative The Data Provenance Explorer Explore the datasets included in our audit. The DPI Explorer tool allows you to filter for and analyze l...\nMIT Media Lab\nData Provenance Explorers - MIT Media Lab\nShare this tool Based on our extensive audits of AI data, we've built data explorers to allow practitioners to make more nuanced and informed decisions about th...\nData Provenance Initiative\nData Provenance Initiative\nData Provenance Explorer. 4,000+ datasets. Inspect dataset sources, licenses, creators, geographies, modalities, and derivation chains. Explore datasets · Web d...\nData Provenance Initiative\nData Provenance Explorer\nDiscover the datasets featured in our audit! The DPI Explorer tool enables you to filter and analyze language model training datasets effortlessly. Dataset Expl...\nData Provenance Initiative\nDataset Explorer - Data Provenance Initiative\nData Provenance Explorer. > Dataset Explorer. Dataset Explorer. Explore nearly 4,000 text, video, and speech datasets, and their characteristics. Paper Reposito...\nCohere\nData Provenance Explorer Launches to Tackle Data Transparency Crisis\nBy Shayne Longpre and Sara Hooker Collectively, these data sets have been downloaded tens of millions of times, and are the backbone of many published NLP break...", "transcript_raw": "The [Data Provenance Explorer](https://www.google.com/goto?url=CAESbwHrOzAVEvFFned9y_23wqmutxc6ql6K_Me5zHJCXwXwkpqpDnxwO20lk0ZrEIbXSSfLWA1Dn6bnQgSNiAaNWT4D-vyGbt8_mdAU1VXj0ECBzmPaTffoO0H8KoR3kRInaaOSBRf04E5DbU3YER-nSQ) is an interactive audit tool built by the [Data Provenance Initiative](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w) to track, inspect, and filter large language model (LLM) training datasets. [[1](https://www.google.com/goto?url=CAESbAHrOzAVpMiys_Eoyka0BGtdNRS-akOLxRu5f5c1zvJ6lh91uue1ZmQXa5OYV9N1OdJ0IyCZQvoeYeB-U5H9MhgKJ1Jja8YMq7Kf98U4tzkVB3gnsmPr4qDrxpw_5oFCZCCpOZfMAAHhAdJjiw), [2](https://www.google.com/goto?url=CAESkQEB6zswFcZXWfKhfmZALaUw2zhLuHmfZmg92qD0X1pceNeAzYzNRqUxmI9r-LjziEGFTjVDff11daho2EwuXru4dB1EENoZVptVwjs6pN0rNubOZXOfcCqJ90aVuqyiRwI3Eaf29MmjrO3Grg1CHdC88YtwMxHMB0JrmF_Rd3JxnvsZTCdgxHBE0FK8MY3J1-UI), [3](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\nWhat You Can Explore\n\n* Dataset Explorer: Search and filter nearly 4,000 text, speech, and video datasets by creators, original data sources, geographies, modalities, and derivation chains. [[1](https://www.google.com/goto?url=CAESbwHrOzAVEvFFned9y_23wqmutxc6ql6K_Me5zHJCXwXwkpqpDnxwO20lk0ZrEIbXSSfLWA1Dn6bnQgSNiAaNWT4D-vyGbt8_mdAU1VXj0ECBzmPaTffoO0H8KoR3kRInaaOSBRf04E5DbU3YER-nSQ), [2](https://www.google.com/goto?url=CAESgAEB6zswFWm2hryFxhly-kSN-1G3r3zb4kBmow9c-ETq1EhKOXfDl-O1RpXXsxlQWHvxTXkW-KhUHyJS0X_ihetDObmO5hAyLZTRBGZBi4DoVrUjCGDIbgoMaaAju1kE9luXprx7Wh147Qg12FnsuV2fQSNVQFzYGFOqlDHEHD1zUA), [3](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\n* License & Use Case Filtering: Evaluate data strictness ranging from commercial use to academic-only or non-commercial restrictions. [[1](https://www.google.com/goto?url=CAESgAEB6zswFWm2hryFxhly-kSN-1G3r3zb4kBmow9c-ETq1EhKOXfDl-O1RpXXsxlQWHvxTXkW-KhUHyJS0X_ihetDObmO5hAyLZTRBGZBi4DoVrUjCGDIbgoMaaAju1kE9luXprx7Wh147Qg12FnsuV2fQSNVQFzYGFOqlDHEHD1zUA)]\n* Web Data & Consent Explorers: Track shifting data-use preferences and consent signals across thousands of web domains commonly scraped for AI training. [[1](https://www.google.com/goto?url=CAEScgHrOzAVjN3FL0BKd3JKOmHIZ0iwuJgGHKYKc9lwyPB1_vK537yOu6OTRUfgrBbOwGjGYROzF1xdb7JlsDWiQQMlKTOawHm-FSkZxrxuy2WLQZHjQbE7wcjEHULjUT28fKnTNrxM5tMub0qpuqf16wqLiA), [2](https://www.google.com/goto?url=CAESVwHrOzAVlBqD8q1DsqiqS4byz_xXGOoXrfv-jahWT18ECzCW55x4N6LPTCkEO9qxXFEkLZKJO721S8uxa3uevB5fGLWsa8dT-0AK_0RefeUEVhCPOpPE_w)]\n\nWould you like to search for a specific dataset or learn how to filter for commercial-use licenses in the explorer?\nData Provenance Initiative\nData Provenance Explorer\nData Provenance Initiative The Data Provenance Explorer Explore the datasets included in our audit. The DPI Explorer tool allows you to filter for and analyze l...\nMIT Media Lab\nData Provenance Explorers - MIT Media Lab\nShare this tool Based on our extensive audits of AI data, we've built data explorers to allow practitioners to make more nuanced and informed decisions about th...\nData Provenance Initiative\nData Provenance Initiative\nData Provenance Explorer. 4,000+ datasets. Inspect dataset sources, licenses, creators, geographies, modalities, and derivation chains. Explore datasets · Web d...\nData Provenance Initiative\nData Provenance Explorer\nDiscover the datasets featured in our audit! The DPI Explorer tool enables you to filter and analyze language model training datasets effortlessly. Dataset Expl...\nData Provenance Initiative\nDataset Explorer - Data Provenance Initiative\nData Provenance Explorer. > Dataset Explorer. Dataset Explorer. Explore nearly 4,000 text, video, and speech datasets, and their characteristics. Paper Reposito...\nCohere\nData Provenance Explorer Launches to Tackle Data Transparency Crisis\nBy Shayne Longpre and Sara Hooker Collectively, these data sets have been downloaded tens of millions of times, and are the backbone of many published NLP break...", "transcript_class": "CAPTURE-TIME VERBATIM RECORD — paste of the expanded Overview with its source cards", "transcript_complete": "complete as supplied", "transcript_read": "READ IN FULL 2026-10-29", "per": 0.5, "per_corrected": null, "per_v": { "author": false, "inst": true, "id": false, "src": true }, "per_note": "The Data Provenance Initiative named; Shayne Longpre and Sara Hooker on the Cohere card only; the Initiative's pages cited.", "availability": null, "per_dim": null, "per_dim_v1_0": null, "sf": null, "sf_derived": null, "reading": "The innocent reading first. The Overview says what the explorer is and what can be filtered in it, from the Initiative's own pages.", "analysis": "The composition reaches the Initiative's current pages, which this record's fetcher could not render, and corrects the record's scale. The audits that make the explorer a provenance instrument are left out.", "d": "THE DATA PROVENANCE EXPLORER, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'an interactive audit tool built by the Data Provenance Initiative to track, inspect, and filter large language model (LLM) training datasets'; a dataset explorer of 'nearly 4,000 text, speech, and video datasets' by creators, sources, geographies, modalities and derivation chains; licence and use filtering; web-data and consent explorers. Six cards: the Initiative's pages (four), MIT Media Lab, Cohere.", "d_full": "THE DATA PROVENANCE EXPLORER, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'an interactive audit tool built by the Data Provenance Initiative to track, inspect, and filter large language model (LLM) training datasets'; a dataset explorer of 'nearly 4,000 text, speech, and video datasets' by creators, sources, geographies, modalities and derivation chains; licence and use filtering; web-data and consent explorers. Six cards: the Initiative's pages (four), MIT Media Lab, Cohere.", "d_truncated": false, "links": [ { "url": "https://www.alexanarch.org/captures/data-provenance-explorer-aio-20261029/", "authority": "canonical", "note": "the capture's own record page; cite this form" }, { "url": "https://www.alexanarch.org/captures/#data-provenance-explorer-aio-20261029", "authority": "gallery", "note": "the canonical gallery, anchored by slug" }, { "url": "https://www.godkinggoogle.com/captures/#data-provenance-explorer-aio-20261029", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" }, { "url": "https://www.leesharks.com/captures/#data-provenance-explorer-aio-20261029", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" }, { "url": "https://www.machinemediation.org/captures/#data-provenance-explorer-aio-20261029", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" } ], "imgs": [], "img_urls": [], "cite": "https://www.alexanarch.org/captures/data-provenance-explorer-aio-20261029/", "citable_unit": "address — the exact issued string on one surface, per the Surface Rule (MANUS, 2026-08-15)", "addr_id": "ADDR-6e5a719fee75", "obs_id": "OBS-dc0adc018f10", "n_observations": 1, "observations": [], "dates": [ "2026-10-29" ], "defects": [], "findings": [ "THE SCALE MOVED. 'Nearly 4,000 text, video, and speech datasets' is the Initiative's own text, on its Dataset Explorer card; the record gave the founding audit's 1,800 text datasets, and the Initiative's pages render nothing to this record's fetcher beyond a title. The record is corrected to the current scale, sourced to the card. Checked 2026-10-29 against the MMRS meta-aggregator record of 2026-10-28 and the entity's own pages, re-read the same day.", "THE AUDITS UNSAID. The founding audit's licence findings and Consent in Crisis are not given; the consent explorer stands for the second." ], "series": null, "other_slugs": null, "collisions": null, "oq": null, "rounds": null, "turns": 1, "rerun": null, "rerun_alt": null, "heteronym": null, "model_attribution": null, "operator_disclosure": null, "longitudinal_priors": null, "longitudinal_successors": null, "related_deposits": [], "intended": null, "originator": { "name": "Data Provenance Initiative (Longpre, Mahari, Chen, Obeng-Marnu and others)", "relation": "external", "entity_type": "dataset", "spxi_treatment": "partial", "basis": "Not the archive's: Data Provenance Explorer, run by Data Provenance Initiative (Longpre, Mahari, Chen, Obeng-Marnu and others). Formalized by the MMRS meta-aggregator record of 2026-10-28 (https://www.machinemediation.org/aggregators/data-provenance-explorer/), editor Lee Sharks; the record's fields are read from the entity's own pages with source and basis. Recorded 2026-10-29." }, "notes": { "prompts": "One query. Sent by the operator on 2026-10-29 with nineteen others, one per entity of the MMRS meta-aggregator, at his offer to run them: 'ill run captures if you want, just list the semantic addresses'." }, "notice": null, "axn_root": "AXN:0AAC.CAPTURE", "axn": "AXN:0AAC.CAPTURE.🕔🎨🟢●🌺☉", "record_url": "https://www.alexanarch.org/captures/data-provenance-explorer-aio-20261029/" }