# Datasets, Page 134 of 136 Source: https://savrn.com/datasets/page/134 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. 11,442Models 3,247Datasets 285Papers 6,976Publishers 12,091Sourced relationships Updated 2026-10-19 · [How the library is built](https://savrn.com/model-hub/methodology) ## Filter Datasets Task - [Text generation127](https://savrn.com/datasets?task=Text+generation) - [Robotics108](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 answering38](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 text20](https://savrn.com/datasets?task=Image+to+text) - [Image classification16](https://savrn.com/datasets?task=Image+classification) - [Visual question answering15](https://savrn.com/datasets?task=Visual+question+answering) - [Object detection14](https://savrn.com/datasets?task=Object+detection) - [Text to speech14](https://savrn.com/datasets?task=Text+to+speech) - [Image to image13](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) - [Feature extraction8](https://savrn.com/datasets?task=Feature+extraction) - [Audio classification7](https://savrn.com/datasets?task=Audio+classification) - [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 - [other268](https://savrn.com/datasets?license=other) - [apache-2.0238](https://savrn.com/datasets?license=apache-2.0) - [mit237](https://savrn.com/datasets?license=mit) - [cc-by-4.0232](https://savrn.com/datasets?license=cc-by-4.0) - [cc-by-nc-4.078](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-4.021](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-nc-sa-3.02](https://savrn.com/datasets?license=cc-by-nc-sa-3.0) - [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) Access - [Publicly accessible2,994](https://savrn.com/datasets?access=open_access) - [Access requested at publisher253](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 Xie24](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) - [Sota11](https://savrn.com/datasets?publisher=sotaagi2030) - [Ai210](https://savrn.com/datasets?publisher=allenai) - [Ps Yo10](https://savrn.com/datasets?publisher=atokforps) - [Dougall DeepMind10](https://savrn.com/datasets?publisher=dougalldeepmind) - [D1610](https://savrn.com/datasets?publisher=dsixteen) - [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) Size - [10K1T16](https://savrn.com/datasets?size=n%3E1T) - [1B1M1](https://savrn.com/datasets?size=n%3E1M) Domain - [LeRobot32](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) - [robotics, bimanual-manipulation, imitation-learning4](https://savrn.com/datasets?domain=robotics%2C+bimanual-manipulation%2C+imitation-learning) - [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) - [land-records, deeds, ocr3](https://savrn.com/datasets?domain=land-records%2C+deeds%2C+ocr) - [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) [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) 3,247 datasets, sorted by most downloaded. Dataset ### [unpair_edit_dataset](https://savrn.com/datasets/unpair-edit-dataset) [Chau Pham](https://savrn.com/model-publishers/chaupham1709) Publicly accessible [View dataset](https://savrn.com/datasets/unpair-edit-dataset) Dataset ### [unswbc-public-replays](https://savrn.com/datasets/unswbc-public-replays) [Xia](https://savrn.com/model-publishers/wendyscashier) 20,000 previously public ranked games collected from the top 20 teams. Replay bytes are unchanged; team and bot labels already present in public gameplay remain present. This collection does not contain private experimental matches, source archives, account responses, credentials or collection indexes. Each TAR contains gzip-compressed.replay files. Extract an archive with tar -xf replays/shard-0000.tar. For the Battlecode visualiser, decompress a replay to a separate file: gzip -dc replays/GAMEID.replay > view.replay, then open view.replay at https://game.battlecode.au/visualiser. manifest.json records archive sizes, SHA256 hashes and game counts. Archive names are unique across the… Publicly accessible [View dataset](https://savrn.com/datasets/unswbc-public-replays) Dataset ### [ur5e-cylinder-3cam-add1005](https://savrn.com/datasets/ur5e-cylinder-3cam-add1005) [Shohei Sato](https://savrn.com/model-publishers/indojin) Publicly accessible [View dataset](https://savrn.com/datasets/ur5e-cylinder-3cam-add1005) Dataset · Robotics ### [ur7_b_into_a_48h_w1_p04](https://savrn.com/datasets/ur7-b-into-a-48h-w1-p04) [Anuj Zore](https://savrn.com/model-publishers/zeroanuj) This dataset was created using LeRobot. Part B (a white disc with a hub and a bar) is found with the wrist camera, picked from the plate and seated into fixture A. Universal Robots UR7e, Robotiq gripper, wrist-mounted Intel RealSense D405. Collected autonomously during a continuous 48-hour run that started on 2026-10-10, to cover the lighting changes of day and night. This repository is one part of that run: 101 episodes, 65387 frames at 30 fps. - State and action (16 values each): 6 joint angles, TCP position, TCP orientation (6D), gripper position. Also recorded: joint velocity, torque and current, TCP force, raw force/torque wrench, gripper effort, capture time. - The wrist camera is… Publicly accessible [View dataset](https://savrn.com/datasets/ur7-b-into-a-48h-w1-p04) Dataset · Robotics ### [ur7_b_into_a_48h_w2_p04](https://savrn.com/datasets/ur7-b-into-a-48h-w2-p04) [Anuj Zore](https://savrn.com/model-publishers/zeroanuj) This dataset was created using LeRobot. Part B (a white disc with a hub and a bar) is found with the wrist camera, picked from the plate and seated into fixture A. Universal Robots UR7e, Robotiq gripper, wrist-mounted Intel RealSense D405. Collected autonomously during a continuous 48-hour run that started on 2026-10-10, to cover the lighting changes of day and night. This repository is one part of that run: 100 episodes, 64553 frames at 30 fps. - State and action (16 values each): 6 joint angles, TCP position, TCP orientation (6D), gripper position. Also recorded: joint velocity, torque and current, TCP force, raw force/torque wrench, gripper effort, capture time. - The wrist camera is… Publicly accessible [View dataset](https://savrn.com/datasets/ur7-b-into-a-48h-w2-p04) Dataset ### [ur7_b_into_a_48h_w3_p04](https://savrn.com/datasets/ur7-b-into-a-48h-w3-p04) [Anuj Zore](https://savrn.com/model-publishers/zeroanuj) Publicly accessible [View dataset](https://savrn.com/datasets/ur7-b-into-a-48h-w3-p04) Dataset · Time series forecasting ### [urban-event-chains](https://savrn.com/datasets/urban-event-chains) [Bibek Gupta](https://savrn.com/model-publishers/bibekgupta3333) Data and results for Multi-Agent Prompting with In-Context Feedback for Cross-Modal Urban Event Chain Prediction (Sensors, MDPI). Code: github.com/bibekgupta3333/urban-event-chain-prediction-multi-agent-prompting The nine -bedrock- run directories are the model grid the paper reports: 5 configurations (singleagent, multiagent, noisysingle, multifeedback, multinofeedback) × expert prompt level × 3 cities, 85 test chains per configuration. Bedrock exposes no seed, so these runs are not byte-reproducible. - Traffic data are municipal traffic-speed feeds (probe-derived segment estimates, daily) — Chicago Traffic Tracker (sxs8-h27x), NYC Real-Time Traffic Speed (i4gi-tjb9), SF via DataSF. They… Publicly accessible other 1M