# Datasets, Page 82 of 132 Source: https://savrn.com/datasets/page/82 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 ### [georeset-atlas](https://savrn.com/datasets/georeset-atlas) [Noé Flandre](https://savrn.com/model-publishers/noeflandre) This snapshot contains 386/386 Description partitions, 386/386 Website partitions, and 12/761 local Wiki partitions. It contains 784 of 1,533 planned partitions and is incomplete. It does not include the active Grid5000 Wiki output. The existing Grid5000 job 3149489 remains active. At the last read-only status check (2026-10-17T20:39:51Z), it had committed 112/749 unique Wiki worklist partitions and was joining partition 113, labels/wikipedia/sentences/england-latest.parquet. Those remote files are not part of this commit and will be added only after transfer and checksum verification. Each configuration contains one source and one output table, preserving each source schema. Description… Publicly accessible other [View dataset](https://savrn.com/datasets/georeset-atlas) Dataset ### [mind-amazon-data](https://savrn.com/datasets/mind-amazon-data) [Saad](https://savrn.com/model-publishers/lama65) Publicly accessible [View dataset](https://savrn.com/datasets/mind-amazon-data) Dataset ### [replay-room-fixtures](https://savrn.com/datasets/replay-room-fixtures) [Abhi Das](https://savrn.com/model-publishers/abhid1234) This dataset contains deterministic, entirely synthetic webhook incident transcripts and replay-guard decisions from Replay Room. It is designed for conformance testing, reliability demonstrations, and tooling examples—not model benchmarking or production incident analysis. - incidents: six event transcripts with the expected deterministic diagnosis and duplicate-side-effect risk level. - replayguard: seven approval and rejection cases covering missing or failed rehearsal, payload drift, destination drift, operator context, and event state. Every destination uses the IANA-reserved.example domain. The build rejects signing secrets, credential-like headers, non-synthetic ingest keys… Publicly accessible mit n<1K [View dataset](https://savrn.com/datasets/replay-room-fixtures) Dataset ### [rlbench-arrange-train](https://savrn.com/datasets/rlbench-arrange-train) [Simone Peraro](https://savrn.com/model-publishers/simonreese) Publicly accessible [View dataset](https://savrn.com/datasets/rlbench-arrange-train) Dataset ### [Lx](https://savrn.com/datasets/lx) [Kuan](https://savrn.com/model-publishers/lukuan2026) Publicly accessible [View dataset](https://savrn.com/datasets/lx) Dataset ### [pima-county-supervisors-meetings](https://savrn.com/datasets/pima-county-supervisors-meetings) [Josh Estrada](https://savrn.com/model-publishers/acloudcenter) Public mirror of Pima County (Arizona) Board of Supervisors meeting video recordings, ingested from the county's Granicus video portal. The county's official portal (pima.granicus.com) only lists recordings for 90 days, after which they are silently removed. Agendas and minutes survive on pima.gov, but the recordings themselves have no systematic public archive. This dataset fills that gap: an incremental job scans the portal listing and pushes any recording not yet present here. - videos/YYYY-MM-DD- pima-.mp4 — full-length meeting recordings (kind: regular, study-session, special-meeting, joint-meeting,...). - metadata.jsonl — one record per archived meeting: Granicus clipid, date, start… Publicly accessible [View dataset](https://savrn.com/datasets/pima-county-supervisors-meetings) Dataset ### [11111](https://savrn.com/datasets/11111) [Zihang Liu](https://savrn.com/model-publishers/zh-liu799) Publicly accessible [View dataset](https://savrn.com/datasets/11111) Dataset ### [Bdata_archive](https://savrn.com/datasets/bdata-archive) [Ha](https://savrn.com/model-publishers/clooud) Access requested at publisher [View dataset](https://savrn.com/datasets/bdata-archive) Dataset ### [CPG_Tensor](https://savrn.com/datasets/cpg-tensor) [Quita Nguyen](https://savrn.com/model-publishers/quitalia) Access requested at publisher [View dataset](https://savrn.com/datasets/cpg-tensor) Dataset ### [Tuntable_20260731_20261009](https://savrn.com/datasets/tuntable-20260731-20261009) [Marco Lassandro](https://savrn.com/model-publishers/frogpod) Publicly accessible [View dataset](https://savrn.com/datasets/tuntable-20260731-20261009) Dataset · Text generation ### [continental-critical-theory-sft](https://savrn.com/datasets/continental-critical-theory-sft) [Hnsk](https://savrn.com/model-publishers/closestfriend) A ~1,000-example supervised fine-tuning dataset of rigorous, expert-level Q&A on continental philosophy and critical theory, in chat messages format. Fine-tuning assistants to explain and critically engage with the continental tradition: definitions of concepts (e.g., différance, the spectacle, habitus, coloniality of power), reconstructions of arguments from specific books, comparisons of thinkers, surveys of debates and standard objections with replies, and biographical/contextual grounding. - Answers are 100–140-word summaries intended for SFT; they compress dense material and should not be treated as scholarly citations. - Some answers reference scholarship interpretations (e.g., the Du… Publicly accessible cc-by-4.0 1K