# Datasets, Page 68 of 132 Source: https://savrn.com/datasets/page/68 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 ### [12](https://savrn.com/datasets/12-2) [Glória Nogueira](https://savrn.com/model-publishers/data012) Publicly accessible [View dataset](https://savrn.com/datasets/12-2) Dataset · Robotics ### [nick-sep14](https://savrn.com/datasets/nick-sep14) [Nathaniel Nifong](https://savrn.com/model-publishers/naavox) This dataset was created using LeRobot. Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/nick-sep14) Dataset ### [weather-forecasts](https://savrn.com/datasets/weather-forecasts) [OpenThomas](https://savrn.com/model-publishers/openthomas) Every forecast the OpenThomas weather desk read or produced, as-of. Pushed daily from the trading box, so each commit is a timestamped record of what was known when — the leak-free substrate behind the paper's replay experiments (docs/EXPERIMENTS.md in the replay/ holds the frozen decision-time rows (one JSONL per window, digest in the filename) and the experiment results scored on them. A row carries the settlement station and day, the baseline probability at the snapshot, the Kalshi bid/ask at that snapshot, and the outcome — never anything the agent could not have known at decision time. - replay/e3-high9.txt - replay/e3-low1.txt - replay/e3-low2.txt - replay/e3e4.log - replay/e3e4.sh… Publicly accessible mit [View dataset](https://savrn.com/datasets/weather-forecasts) Dataset ### [updater](https://savrn.com/datasets/updater) [Update](https://savrn.com/model-publishers/updater-update) Publicly accessible [View dataset](https://savrn.com/datasets/updater) Dataset · Translation ### [glosl-csl_news](https://savrn.com/datasets/glosl-csl-news) [Pedro Dal Bianco](https://savrn.com/model-publishers/pedroodb) Part of GloSL, a set of continuous sign language translation corpora in one format. annotations.csv, card.json, poses/ /.pose. card.json holds the full provenance. annotations.csv columns (same in every GloSL dataset; empty when not applicable): id, split, text, gloss, glosstype, signer, start, end, fps, nframes, videoref, posefile, videofile. rtmpose-wholebody (Uni-Sign), 133 points (BODY133 23, FACE133 68, LEFTHAND133 21, RIGHTHAND133 21), 2D. Coordinates: pixels of the frame the pose refers to (header width x height, depth 0); z raw. Confidence: RTMPose score; missing point = (0,0) with confidence 0. Frame rate: native, per file (also in annotations.csv). Normalization (glosl-norm-v1) is… Publicly accessible cc-by-nc-4.0 [View dataset](https://savrn.com/datasets/glosl-csl-news) Dataset ### [video](https://savrn.com/datasets/video) [Phạm Hoàng Anh](https://savrn.com/model-publishers/phamhoanganh) Publicly accessible [View dataset](https://savrn.com/datasets/video) Dataset ### [ConfigWM](https://savrn.com/datasets/configwm) [Yijun Shen](https://savrn.com/model-publishers/yijunshen) Data for World Models with Configurable Perception, covering Push-T, Two-Room, and OGBench-Cube with distraction variants d0 through d8. The dataset supports query-conditioned visual representation learning, action-conditioned world modeling, and online control evaluation. d0 has no distractors; d1 through d8 add one through eight. Click the figure to view the original image. Each environment uses the same three collections: The full dataset is approximately 1.64 TB. To download one environment and variant, run this from the ConfigWM code repository: - --env: pusht, tworoom, or ogbcube. - --task stageb --variant d3: data for training ConfigWM on one variant. - --task stagea: data for… Publicly accessible [View dataset](https://savrn.com/datasets/configwm) Dataset ### [compass](https://savrn.com/datasets/compass) [Vo Thu Hieu](https://savrn.com/model-publishers/hieuvo24488) Publicly accessible [View dataset](https://savrn.com/datasets/compass) Dataset · Text generation ### [singapore-legal-ai-benchmark](https://savrn.com/datasets/singapore-legal-ai-benchmark) [Jonathan Su Yuntao](https://savrn.com/model-publishers/jonathansu) Public research release of 102 Singapore legal research questions, model responses from 6 systems, and overlapping grades on five dimensions. Headline metrics are overlapping binary flags, not a ranking and not a partition of 100%. — comparison table, category heatmap, per-question comparison, and every answer with its sources and grades. Hallucination is Incorrectness OR Misgroundedness. Incompleteness and Substantial Correctness are independent of Hallucination. A response may be both Substantially Correct and Hallucinated. Hallucination × Substantial Correctness: H yes / SC yes = 269; H yes / SC no = 178; H no / SC yes = 130; H no / SC no = 35. Each cell is count (percentage; Wilson… Publicly accessible cc-by-4.0 n<1K [View dataset](https://savrn.com/datasets/singapore-legal-ai-benchmark) Dataset ### [breaking-bad-strive](https://savrn.com/datasets/breaking-bad-strive) [StrIVE](https://savrn.com/model-publishers/strive-vid) Physics videos of everyday objects breaking and being rebuilt, for STRIVE. Objects from the Breaking Bad everyday subset are placed in texverse-cleverer-strive's emergent scenes, simulated in MuJoCo and rendered in Blender. Some break on impact; others are rebuilt piece by piece by a visible robot tool. Every clip has exact per-instance masks and interaction labels: collisions, contacts, fractures, attaches and holds. This repository also holds what the scenes are made from: the collision proxies and the attach plans. Download a folder as its ZIP. The Hub rate-limits requests, and a folder of thousands of files needs one request per file. Each ZIP holds its folder's files under their… Access requested at publisher other [View dataset](https://savrn.com/datasets/breaking-bad-strive) Dataset · Text classification ### [FastBrain-Instruct](https://savrn.com/datasets/fastbrain-instruct) [TypeScript](https://savrn.com/model-publishers/typescript) v3 is the only release available on the current main branch. The default configuration is choicev3. The 2026-10-14 v3 data repairs previously documented supervision and evaluation defects. It regenerates semantic candidate pairs, restores full Hermes requests and native call sets, recovers Nemotron schemas, restores legacy validation, and disables unsupported NLU++ Boolean labels. Model training and capability-retention experiments have not been run for this release. legacyreplayv3, semanticv3, and toolcontextv3 are exact subsets of choicev3. Do not concatenate these subsets with the integrated config. toolenvironmentholdoutv3 overlaps the tool validation/test splits. All three native… Publicly accessible other 100K