# Datasets, Page 112 of 132 Source: https://savrn.com/datasets/page/112 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 ### [efficient-vla-runs](https://savrn.com/datasets/efficient-vla-runs) [Pengcheng Xu](https://savrn.com/model-publishers/ryan-xman66) Publicly accessible [View dataset](https://savrn.com/datasets/efficient-vla-runs) Dataset ### [egoOmni](https://savrn.com/datasets/egoomni) [songruoChen](https://savrn.com/model-publishers/groolegend) Publicly accessible [View dataset](https://savrn.com/datasets/egoomni) Dataset ### [egotouch-indist-eval](https://savrn.com/datasets/egotouch-indist-eval) [Qqyang](https://savrn.com/model-publishers/qqyang) Publicly accessible [View dataset](https://savrn.com/datasets/egotouch-indist-eval) Dataset ### [egoverse-164-351-514-20261016](https://savrn.com/datasets/egoverse-164-351-514-20261016) [Mr小旋风](https://savrn.com/model-publishers/mr-whrly) Publicly accessible [View dataset](https://savrn.com/datasets/egoverse-164-351-514-20261016) Dataset ### [em-be-vi-bach-tu](https://savrn.com/datasets/em-be-vi-bach-tu) [PixelPals_AIC2026](https://savrn.com/model-publishers/pixelpalsuit) Publicly accessible [View dataset](https://savrn.com/datasets/em-be-vi-bach-tu) Dataset ### [embryo-3d](https://savrn.com/datasets/embryo-3d) [Mohamed Abbou](https://savrn.com/model-publishers/senku111) Publicly accessible [View dataset](https://savrn.com/datasets/embryo-3d) Dataset · Audio classification ### [english-accents-speech](https://savrn.com/datasets/english-accents-speech) [Silencio Voice AI](https://savrn.com/model-publishers/silencionetwork) English from 282 speakers born in 35 countries. 513 clips, 9.3 hours, each labelled with the speaker's country of birth, first language, self-reported accent or regional variety, declared English proficiency, age band, gender and recording device. Audio and speaker metadata only. Human-validated transcription is available on request. English as it is actually spoken worldwide is mostly not American or British. Across Silencio's English catalogue, 59% of recorded hours come from speakers born in Africa and only about 11% from the US, UK, Canada, Australia, Ireland and New Zealand combined. Nigeria, the largest single origin, is 16% of hours. This sample covers 35 countries of birth.… Publicly accessible cc-by-nc-4.0 n<1K [View dataset](https://savrn.com/datasets/english-accents-speech) Dataset ### [english-decision-corpus](https://savrn.com/datasets/english-decision-corpus) [Mithula Artigala](https://savrn.com/model-publishers/mithulaartigala) This dataset contains source-grounded English decisions with natural-language choices and answer text/index. Rich configurations retain source citations, annotation lineage, validation outcomes, generation history, and teacher outputs. Compact configurations are training-oriented physical shards. The all and allcompact configurations reuse the category shard paths and do not upload duplicate copies. No source license allowlist is applied. Each rich record preserves the source license, pinned revision, source URL, and citation; missing license evidence is recorded as unknown. The repository combines sources with different terms, so consult the row-level license evidence and each source's… Publicly accessible other [View dataset](https://savrn.com/datasets/english-decision-corpus) Dataset ### [etsy-new-homeowner-budget-kit](https://savrn.com/datasets/etsy-new-homeowner-budget-kit) [ABDELILAH KARROUMI](https://savrn.com/model-publishers/abdelilah109) Complete, Etsy-ready Tier 1 product packages: life-transition finance trackers, digital products. One design system, three listings, one bundle. 04-launch-checklist.md applies to all three (build → mockups → listing → compliance → launch cadence). - -canva-content.md: every page fully written, recreate in Canva (~1–2 hrs each) - -notion-content.md: databases, views, working formulas - -listing-kit.md: 140-char SEO title, 13 tags (≤20 chars), full description, pricing, cross-sell hooks - Digital margins 85–92% after Etsy fees; trio bundle compounds AOV to 2.5×. - Build once (~2–3 hrs per product, heavy reuse across files), sell forever; list all three within 2 weeks toward the 30-listing… Publicly accessible [View dataset](https://savrn.com/datasets/etsy-new-homeowner-budget-kit) Dataset · Robotics ### [eval_act_omx_2](https://savrn.com/datasets/eval-act-omx-2) [Leeyuna59](https://savrn.com/model-publishers/yuna59) This dataset was created using LeRobot. Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/eval-act-omx-2) Dataset ### [eval_act_omx_3](https://savrn.com/datasets/eval-act-omx-3) [Leeyuna59](https://savrn.com/model-publishers/yuna59) Publicly accessible [View dataset](https://savrn.com/datasets/eval-act-omx-3) Dataset ### [eval_bosch_gemma-4-E4B-it_gens_T1_wfs2_s12345_mt512_nosft](https://savrn.com/datasets/eval-bosch-gemma-4-e4b-it-gens-t1-wfs2-s12345-mt512-nosft) [Leonardo Martins bianco](https://savrn.com/model-publishers/leobianco) Publicly accessible [View dataset](https://savrn.com/datasets/eval-bosch-gemma-4-e4b-it-gens-t1-wfs2-s12345-mt512-nosft) Dataset ### [eval_npov_PERL_organic_gemma-4-E4B-it_S1301_a79c_gens_T0_3_wfs0_s12345_mt256_sftd09d98](https://savrn.com/datasets/eval-npov-perl-organic-gemma-4-e4b-it-s1301-a79c-gens-t0-3-wfs0-s12345-mt256-sftd09d98) [Leonardo Martins bianco](https://savrn.com/model-publishers/leobianco) Publicly accessible [View dataset](https://savrn.com/datasets/eval-npov-perl-organic-gemma-4-e4b-it-s1301-a79c-gens-t0-3-wfs0-s12345-mt256-sftd09d98) Dataset · Robotics ### [eval_pickplace_v1](https://savrn.com/datasets/eval-pickplace-v1) [Aaron Geissinger](https://savrn.com/model-publishers/aarongeissingerstu) This dataset was created using LeRobot. Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/eval-pickplace-v1) Dataset · Robotics ### [eval_robustness_e9_3_full_fk_local_240k](https://savrn.com/datasets/eval-robustness-e9-3-full-fk-local-240k) [National Engineering Research Center for Big Data Software](https://savrn.com/model-publishers/thulab) Apache TsFile version of nduque/evalrobustnesse93fullfklocal240k. This is an evaluation-robustness teleoperation dataset recorded on a Koch robot arm and packaged in the LeRobot v2.1 layout. Each row is one control step: a 6-dimensional joint/gripper state, the 6-dimensional commanded action, and a 4-dimensional local end-effector pose. The source dataset card does not name the manipulation task; the metadata records a single task (taskindex = 0). - Time (INT64, milliseconds) — round(timestamp 1000); restarts at 0 for each episode. - episodeindex (TAG) — episode / device dimension. - taskindex (TAG) — task dimension (constant 0 here). - frameindex (FIELD, INT64) — source frame counter… Publicly accessible apache-2.0 10K