# Datasets, Page 129 of 132 Source: https://savrn.com/datasets/page/129 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 ### [tb2-t4pjl3-ctl](https://savrn.com/datasets/tb2-t4pjl3-ctl) [Shane Boulay](https://savrn.com/model-publishers/tinkersnot) Publicly accessible [View dataset](https://savrn.com/datasets/tb2-t4pjl3-ctl) Dataset ### [tb2-t4plp-ctl](https://savrn.com/datasets/tb2-t4plp-ctl) [Shane Boulay](https://savrn.com/model-publishers/tinkersnot) Publicly accessible [View dataset](https://savrn.com/datasets/tb2-t4plp-ctl) Dataset ### [tb2-t4pmc-ctl](https://savrn.com/datasets/tb2-t4pmc-ctl) [Shane Boulay](https://savrn.com/model-publishers/tinkersnot) Publicly accessible [View dataset](https://savrn.com/datasets/tb2-t4pmc-ctl) Dataset · Text generation ### [tb21-dsv4-flash-0731-dsh](https://savrn.com/datasets/tb21-dsv4-flash-0731-dsh) [OpenGuardrails](https://savrn.com/model-publishers/openguardrails) Every trial of this one line, in one place: the 89-task main run, both re-run passes, and the scoring scripts. The trajectories are raw and unedited — each step's reasoning, each tool call, and the verifier's own stdout. This is a re-packaging, not a new measurement. The same files were published before, split across two releases, which made the line look incomplete in both: the first release carried the main run without the later re-runs, the second carried 11 re-runs without the main run. Nothing here is new data and no number changes. Both source releases remain up and unmodified. Three tiers, applied by one script (scripts/score4.py) identically to this and the three other lines it was… Publicly accessible mit n<1K [View dataset](https://savrn.com/datasets/tb21-dsv4-flash-0731-dsh) Dataset · Text generation ### [tb21-dsv41-flash-dsh](https://savrn.com/datasets/tb21-dsv41-flash-dsh) [OpenGuardrails](https://savrn.com/model-publishers/openguardrails) Raw, unedited agent trajectories for the DeepSeek-V4.1-Flash run over all 89 Terminal-Bench 2.1 tasks, plus every remediation re-run for it and for the two older lines, plus the scoring and analysis scripts. Every number in the write-up can be traced to a file here. Exact McNemar, paired over the same 89 tasks: V4.1 is the only line above 70%, and it is 9 points above V4 on the same scaffold — but 89 tasks cannot carry that to significance. The direction is clear; "proven stronger" is not a claim this sample supports. Applied identically to every line, by one script (scripts/score4.py): 1. as-shipped — what the run actually scored. This is what you get if you deploy the same stack today. 2.… Publicly accessible mit n<1K [View dataset](https://savrn.com/datasets/tb21-dsv41-flash-dsh) Dataset · Robotics ### [telearms_dr300_2looks](https://savrn.com/datasets/telearms-dr300-2looks) [Benjamin C](https://savrn.com/model-publishers/albagon) LeRobot v3 dataset (albagon/telearmsdr3002looks): bimanual YAM teleoperation demos from the TeleArms game, re-rendered in MuJoCo with visual domain randomization for sim-to-real transfer of a pi0.5 policy. - Two independent DR looks per demo (dr00, dr01). The dr00 episodes are albagon/telearmsdr3001look. - 18 episodes whose wrist view was near-black for the whole episode are excluded (provenance/excludedarkwristtrain.json). - ckpt0's train/holdout split by demo UUID: provenance/ckpt0splitbyuuid.csv. The DR shares in the table below are for the whole render; the drreport summary covers all looks. Full config and per-factor ranges: provenance/drconfigresolved.json; render report… Publicly accessible [View dataset](https://savrn.com/datasets/telearms-dr300-2looks) Dataset ### [tensegra-pro6000-campaigns-03-07-archive](https://savrn.com/datasets/tensegra-pro6000-campaigns-03-07-archive) [Jacob Valdez](https://savrn.com/model-publishers/jacob-valdez) This public archive preserves completed structured-latent-dynamics campaigns 03–07 from Pro6000 (WSL Ubuntu), together with the final local analyses, reports, audits, configurations, and source at the Git commit recorded in provenance.json. Each structured-latent-dynamics-campaignNN.tar.gz contains the corresponding directory formerly under /home/brand/, including results, checkpoints, raw records, generated labels, source snapshots, and agent working copies. Only the shared Python virtual environment and disposable Python/pytest caches are excluded. Installed package versions are in environment-freeze.txt. local-analyses-and-source.tar.gz contains tracked campaign 03–07 reports, audits… Publicly accessible [View dataset](https://savrn.com/datasets/tensegra-pro6000-campaigns-03-07-archive) Dataset ### [teologu-tech-fragment](https://savrn.com/datasets/teologu-tech-fragment) [Repede](https://savrn.com/model-publishers/alexandruo) Publicly accessible [View dataset](https://savrn.com/datasets/teologu-tech-fragment) Dataset · Robotics ### [test_stream](https://savrn.com/datasets/test-stream) [William Shen](https://savrn.com/model-publishers/willlyb) This dataset was created using LeRobot. Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/test-stream) Dataset ### [textpainting-precompute-chunks](https://savrn.com/datasets/textpainting-precompute-chunks) [Fema](https://savrn.com/model-publishers/leofames) Publicly accessible [View dataset](https://savrn.com/datasets/textpainting-precompute-chunks) Dataset ### [thermal_wire_perception](https://savrn.com/datasets/thermal-wire-perception) [Diana Tang](https://savrn.com/model-publishers/dtang318) Publicly accessible [View dataset](https://savrn.com/datasets/thermal-wire-perception) Dataset ### [thisdatasetthatiamusingforthisimagemodelthing](https://savrn.com/datasets/thisdatasetthatiamusingforthisimagemodelthing) [Champy Dubs](https://savrn.com/model-publishers/champydubsai) Publicly accessible [View dataset](https://savrn.com/datasets/thisdatasetthatiamusingforthisimagemodelthing) Dataset ### [thunderworld-benchmark](https://savrn.com/datasets/thunderworld-benchmark) [CHEN Han](https://savrn.com/model-publishers/concyclics) ThunderWorld benchmark generated videos This release contains 33,880 generated MP4 videos for Cosmos3 Edge and Nano, evaluated on the full RBench and PAI-Bench scene inventories used by this study. Each model/method combination has two fixed seeds per scene: 650 RBench scenes and 1,044 PAI-Bench scenes. The files are generated outputs for downstream judging; judge scores are not included in this release. Download packages Each ZIP is independently usable and Publicly accessible 10K