# Datasets, Page 116 of 132 Source: https://savrn.com/datasets/page/116 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub # AI Training Datasets Each dataset with its card, its structure (every split, row count and column type), its files, its license, and the models that disclose training on it. 11,122Models 3,164Datasets 285Papers 6,792Publishers 11,852Sourced relationships Updated 2026-10-18 · [How the library is built](https://savrn.com/model-hub/methodology) ## Filter Datasets Task - [Text generation127](https://savrn.com/datasets?task=Text+generation) - [Robotics106](https://savrn.com/datasets?task=Robotics) - [Other48](https://savrn.com/datasets?task=Other) - [Text classification47](https://savrn.com/datasets?task=Text+classification) - [Text retrieval44](https://savrn.com/datasets?task=Text+retrieval) - [Question answering36](https://savrn.com/datasets?task=Question+answering) - [Speech recognition33](https://savrn.com/datasets?task=Speech+recognition) - [Tabular classification21](https://savrn.com/datasets?task=Tabular+classification) - [Time series forecasting21](https://savrn.com/datasets?task=Time+series+forecasting) - [Image to text17](https://savrn.com/datasets?task=Image+to+text) - [Image classification16](https://savrn.com/datasets?task=Image+classification) - [Object detection14](https://savrn.com/datasets?task=Object+detection) - [Text to speech14](https://savrn.com/datasets?task=Text+to+speech) - [Visual question answering14](https://savrn.com/datasets?task=Visual+question+answering) - [Image to image11](https://savrn.com/datasets?task=Image+to+image) - [Image segmentation9](https://savrn.com/datasets?task=Image+segmentation) - [Image to 3d9](https://savrn.com/datasets?task=Image+to+3d) - [Translation9](https://savrn.com/datasets?task=Translation) - [Video classification9](https://savrn.com/datasets?task=Video+classification) - [Audio classification7](https://savrn.com/datasets?task=Audio+classification) - [Feature extraction7](https://savrn.com/datasets?task=Feature+extraction) - [Reinforcement learning7](https://savrn.com/datasets?task=Reinforcement+learning) - [Text to image7](https://savrn.com/datasets?task=Text+to+image) - [Text to video7](https://savrn.com/datasets?task=Text+to+video) License - [other250](https://savrn.com/datasets?license=other) - [apache-2.0236](https://savrn.com/datasets?license=apache-2.0) - [mit232](https://savrn.com/datasets?license=mit) - [cc-by-4.0224](https://savrn.com/datasets?license=cc-by-4.0) - [cc-by-nc-4.077](https://savrn.com/datasets?license=cc-by-nc-4.0) - [cc0-1.030](https://savrn.com/datasets?license=cc0-1.0) - [cc-by-sa-4.029](https://savrn.com/datasets?license=cc-by-sa-4.0) - [odc-by24](https://savrn.com/datasets?license=odc-by) - [cc-by-nc-sa-4.020](https://savrn.com/datasets?license=cc-by-nc-sa-4.0) - [unknown14](https://savrn.com/datasets?license=unknown) - [cc-by-sa-3.06](https://savrn.com/datasets?license=cc-by-sa-3.0) - [odbl6](https://savrn.com/datasets?license=odbl) - [gpl-3.05](https://savrn.com/datasets?license=gpl-3.0) - [cc-by-3.04](https://savrn.com/datasets?license=cc-by-3.0) - [cc3](https://savrn.com/datasets?license=cc) - [cc-by-nc-nd-4.03](https://savrn.com/datasets?license=cc-by-nc-nd-4.0) - [gpl3](https://savrn.com/datasets?license=gpl) - [cc-by-2.02](https://savrn.com/datasets?license=cc-by-2.0) - [cc-by-nd-4.02](https://savrn.com/datasets?license=cc-by-nd-4.0) - [cdla-sharing-1.02](https://savrn.com/datasets?license=cdla-sharing-1.0) - [agpl-3.01](https://savrn.com/datasets?license=agpl-3.0) - [bsl-1.01](https://savrn.com/datasets?license=bsl-1.0) - [c-uda1](https://savrn.com/datasets?license=c-uda) - [cc-by-nc-3.01](https://savrn.com/datasets?license=cc-by-nc-3.0) Access - [Publicly accessible2,933](https://savrn.com/datasets?access=open_access) - [Access requested at publisher231](https://savrn.com/datasets?access=gated) Publisher - [Benjamin J Barber35](https://savrn.com/datasets?publisher=endomorphosis) - [Chang Yu24](https://savrn.com/datasets?publisher=g1n0st) - [Ji Xie23](https://savrn.com/datasets?publisher=sanaka87) - [Justicedao18](https://savrn.com/datasets?publisher=justicedao) - [LeDuy13](https://savrn.com/datasets?publisher=duyle2408) - [Nguyen13](https://savrn.com/datasets?publisher=icdn11) - [Nguyen13](https://savrn.com/datasets?publisher=icdn12) - [Nguyen13](https://savrn.com/datasets?publisher=icdn13) - [National Engineering Research Center for Big Data Software13](https://savrn.com/datasets?publisher=thulab) - [Nguyen12](https://savrn.com/datasets?publisher=icdn10) - [Nguyen12](https://savrn.com/datasets?publisher=icdn14) - [Byte I12](https://savrn.com/datasets?publisher=icdn15) - [Rebrowser.net12](https://savrn.com/datasets?publisher=rebrowser) - [Shufan Jiang12](https://savrn.com/datasets?publisher=tsumugii) - [Ai210](https://savrn.com/datasets?publisher=allenai) - [Ps Yo10](https://savrn.com/datasets?publisher=atokforps) - [Dougall DeepMind10](https://savrn.com/datasets?publisher=dougalldeepmind) - [Deesced9](https://savrn.com/datasets?publisher=ameluce) - [Jiahao Zhang9](https://savrn.com/datasets?publisher=hi-todayis-jh) - [Julia Dollis9](https://savrn.com/datasets?publisher=juliadollis) - [Massive Text Embedding Benchmark9](https://savrn.com/datasets?publisher=mteb) - [Pranab Pattanaik9](https://savrn.com/datasets?publisher=p2samapa) - [Sota9](https://savrn.com/datasets?publisher=sotaagi2030) - [Sunsetcanyon9](https://savrn.com/datasets?publisher=sunsetcanyon) Size - [10K1T16](https://savrn.com/datasets?size=n%3E1T) - [1B1M1](https://savrn.com/datasets?size=n%3E1M) Domain - [LeRobot31](https://savrn.com/datasets?domain=LeRobot) - [legal, law, graphrag12](https://savrn.com/datasets?domain=legal%2C+law%2C+graphrag) - [tsfile, timeseries, time-series12](https://savrn.com/datasets?domain=tsfile%2C+timeseries%2C+time-series) - [open-data, data-science, web-scraping9](https://savrn.com/datasets?domain=open-data%2C+data-science%2C+web-scraping) - [seo-cluster, web-nodes9](https://savrn.com/datasets?domain=seo-cluster%2C+web-nodes) - [dpo, rlhf, ultrafeedback8](https://savrn.com/datasets?domain=dpo%2C+rlhf%2C+ultrafeedback) - [mteb, text, image7](https://savrn.com/datasets?domain=mteb%2C+text%2C+image) - [nepali, instruction-tuning, agriculture7](https://savrn.com/datasets?domain=nepali%2C+instruction-tuning%2C+agriculture) - [science, stackexchange, provenance5](https://savrn.com/datasets?domain=science%2C+stackexchange%2C+provenance) - [LeRobot, robotics, lerobot4](https://savrn.com/datasets?domain=LeRobot%2C+robotics%2C+lerobot) - [ml-intern4](https://savrn.com/datasets?domain=ml-intern) - [AMASS, Retarget, Robotics3](https://savrn.com/datasets?domain=AMASS%2C+Retarget%2C+Robotics) - [benchmark, agents, terminal3](https://savrn.com/datasets?domain=benchmark%2C+agents%2C+terminal) - [climate3](https://savrn.com/datasets?domain=climate) - [code3](https://savrn.com/datasets?domain=code) - [crypto, cryptocurrency, finance3](https://savrn.com/datasets?domain=crypto%2C+cryptocurrency%2C+finance) - [data-attribution, influence-functions, interpretability3](https://savrn.com/datasets?domain=data-attribution%2C+influence-functions%2C+interpretability) - [fireviewer, fire, smoke3](https://savrn.com/datasets?domain=fireviewer%2C+fire%2C+smoke) - [video3](https://savrn.com/datasets?domain=video) - [LeRobot, lerobot, grabette2](https://savrn.com/datasets?domain=LeRobot%2C+lerobot%2C+grabette) - [LeRobot, ur7e, robotiq2](https://savrn.com/datasets?domain=LeRobot%2C+ur7e%2C+robotiq) - [agentenv, rl-environment, agents2](https://savrn.com/datasets?domain=agentenv%2C+rl-environment%2C+agents) - [ai-governance, measurement2](https://savrn.com/datasets?domain=ai-governance%2C+measurement) - [autonomous, agents, evolution2](https://savrn.com/datasets?domain=autonomous%2C+agents%2C+evolution) [Most downloaded](https://savrn.com/datasets?sort=downloads)[Most liked](https://savrn.com/datasets?sort=likes)[Recently updated](https://savrn.com/datasets?sort=updated)[Name](https://savrn.com/datasets?sort=name) 3,164 datasets, sorted by most downloaded. Dataset ### [ipfs_denmark_municipal_laws](https://savrn.com/datasets/ipfs-denmark-municipal-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) 196 regulativer / 5048 article records from 98 kommuner: one Regulativ for husholdningsaffald and one Regulativ for erhvervsaffald per kommune (husholdning: 98, erhverv: 98). 188 rows are NSTAR texts, 7 are kommune-website PDFs that replace stale NSTAR rows, and 1 (Læsø erhverv) comes from an archived kommune PDF because NSTAR cannot serve it (188 + 7 + 1 = 196). lawstatus: inforce 190, superseded 3, unverifiedcurrent 3. - NSTAR (nstar.ens.dk), Energistyrelsen's national register of municipal waste regulations. Under BEK nr. 938 af 2022 (affaldsaktørbekendtgørelsen) § 3, stk. 4, kommuner have to report adopted regulativer to NSTAR, and a regulativ is valid only once published there. The… Publicly accessible other [View dataset](https://savrn.com/datasets/ipfs-denmark-municipal-laws) Dataset ### [ipfs_greece_municipal_laws](https://savrn.com/datasets/ipfs-greece-municipal-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) First pass over the 30 most populous Greek municipalities (of 332), from the Diavgeia transparency portal. Target: endomorphosis/ipfsgreecemunicipallaws (new). Text-layer PDFs only (no OCR). IDs: gr-mun- -ada-; article ids -art-. The ADA (Diavgeia's unique decision number, e.g. ΨΚΧ6Ω0Ο-3ΛΝ) is transliterated 1:1 (Greek capital → one Latin letter, ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ → abgdezhuiklmnjoprstyfxcw, digits kept, lower-cased) so the id is unique and reversible; the original ADA is in officialidentifier and documentnumber. Discovery: 11,306 decisions whose subject contains κανονισμός / κανονιστική / εσωτερικής υπηρεσίας (Diavgeia search/advanced.json, per municipality organisation uid, 6-month… Publicly accessible other [View dataset](https://savrn.com/datasets/ipfs-greece-municipal-laws) Dataset ### [ipfs_ireland_municipal_laws](https://savrn.com/datasets/ipfs-ireland-municipal-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) Bye-laws (fodhlíthe) made by Irish local authorities: county, city, and city and county councils, and their municipal / borough / metropolitan districts. Full texts are taken from the councils' own websites and split into articles. 185 bye-laws, 3,764 article records, from 23 of the 31 local authorities. English 147, Irish 38 (31 of them linked to their English original). Adoption dates run from 1997-04-28 to 2026-06-08 (62 dated, 2 of them to the month only). Schemas: MUNICIPALLAWSSCHEMA / RAWARTICLESSCHEMA from scrapers/schema.py; validatemunicipaltable returns no errors. Ids: ie-mun- - -, for example ie-mun-5-media-361-ddc14783. For a Drupal /media/N/download link the slug is media-N.… Publicly accessible other [View dataset](https://savrn.com/datasets/ipfs-ireland-municipal-laws) Dataset ### [ipfs_luxembourg_municipal_laws](https://savrn.com/datasets/ipfs-luxembourg-municipal-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) Communal regulations (règlements communaux / Gemengereglementer) of Luxembourg's 30 most populous communes, as full texts taken from the communes' own websites, split into articles. 351 regulations, 7,972 article records, 26 communes, adoption dates 1965-02-22 … 2026-10-15. Schemas: MUNICIPALLAWSSCHEMA / RAWARTICLESSCHEMA from scrapers/schema.py; validatemunicipaltable returns no errors. Legilux (data.legilux.public.lu, SPARQL endpoint): all 34,617 acts of type RC / RTC were indexed (one query per ELI year, so no query needs an OFFSET beyond the endpoint's 10,000 limit). Legilux holds publication notices only for communal regulations: adm/rc (2016 onward: "Règlement communal – Commune de X"… Publicly accessible other [View dataset](https://savrn.com/datasets/ipfs-luxembourg-municipal-laws) Dataset · Text retrieval ### [ipfs_nepal_provincial_laws](https://savrn.com/datasets/ipfs-nepal-provincial-laws) [Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis) Research snapshot of Acts (ऐन) of Nepal's provincial governments from Offices of the Chief Minister and Council of Ministers (OCMCM) of Nepal's provinces. Not legal advice. The official source prevails over this corpus. Bagmati 46/47 listed (complete; 1 listed item is a duplicate PDF), Karnali 20/21 listed (complete; 1 listed item is a duplicate PDF), Gandaki pending How listed vs collected reconciles (evidence: manifests/listingindexcache.json and the instruments' source URLs): Exact duplicates dropped (same document uploaded twice; identical extracted text): np-bagmati-htsutw4 = np-bagmati-a6qm4vd, np-karnali-cnedtve = np-karnali-gmdf8w5. Failed PDF downloads: 0… Publicly accessible other n<1K [View dataset](https://savrn.com/datasets/ipfs-nepal-provincial-laws) Dataset ### [ipfs_solomonislands_laws_ir](https://savrn.com/datasets/ipfs-solomonislands-laws-ir) [Justicedao](https://savrn.com/model-publishers/justicedao) Solomon Islands laws IR release. Publicly accessible [View dataset](https://savrn.com/datasets/ipfs-solomonislands-laws-ir) Dataset · Text retrieval ### [ipfs_wallis_futuna_laws_ir](https://savrn.com/datasets/ipfs-wallis-futuna-laws-ir) [Justicedao](https://savrn.com/model-publishers/justicedao) Research retrieval release of endomorphosis/ipfswallisfutunalaws (revision eff428b7ce17c1a960a63dce2c897635e5f0567e) packaged as country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir). Not legal advice. This is a research snapshot. The official gazette / authentic source of Wallis Futuna prevails over this corpus. Retrieved documents and graph edges are retrieval evidence only. No legal text was invented. Primary key: entrycid (CIDv1 raw sha2-256 of a canonical identity record). Integer documentindex values are compact shard pointers, not identities. Target Hub id (packaging metadata only): justicedao/ipfswallisfutunalawsir. entrycid, lawcid… Publicly accessible other 10K