# Datasets, Page 61 of 132 Source: https://savrn.com/datasets/page/61 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 ### [degentic_rd0_5](https://savrn.com/datasets/degentic-rd0-5) [Borderless R&D](https://savrn.com/model-publishers/buildborderless) Access requested at publisher apache-2.0 [View dataset](https://savrn.com/datasets/degentic-rd0-5) Dataset ### [koskari](https://savrn.com/datasets/koskari) [Koskari](https://savrn.com/model-publishers/koskari) Verified Koskari language examples exported from the Koskari conformance corpus. Each row traces to a corpus record with machine-checked expectations at one or more language phases (read, expand, eval, error, invalid). Every corpus record. One row per record regardless of which verify stages are present. Missing stages are null. User documentation pages (Markdown) from the source repository's docs/reference/, docs/start/, docs/guide/, docs/patterns/, and docs/agents/ trees. One row per page. The path column matches the strings in the corpus config's references column verbatim, so a record's references resolve directly to their documentation content. The agents section is written for AI… Publicly accessible gpl-3.0 [View dataset](https://savrn.com/datasets/koskari) Dataset ### [px-pool](https://savrn.com/datasets/px-pool) [Onurcan Genc](https://savrn.com/model-publishers/drogba771) Publicly accessible [View dataset](https://savrn.com/datasets/px-pool) Dataset ### [pegasus](https://savrn.com/datasets/pegasus) [Jeffrey Mae Richardson](https://savrn.com/model-publishers/jeffreymrichardson998) Publicly accessible [View dataset](https://savrn.com/datasets/pegasus) Dataset ### [all_incremental](https://savrn.com/datasets/all-incremental) [Morris Lee](https://savrn.com/model-publishers/morrislee123) Publicly accessible [View dataset](https://savrn.com/datasets/all-incremental) Dataset · Robotics ### [telearms-yam-cube-v4](https://savrn.com/datasets/telearms-yam-cube-v4) [MuchenLiu](https://savrn.com/model-publishers/mliu48) Teleoperated bimanual manipulation demonstrations collected in MuJoCo with a BimanualYAM robot, packaged in LeRobot v3.0 format for pi0.5 training. Three RGB views per frame — camerafront, cameraleft, cameraright (224x224, H.264). Robot state and action are both 14-dimensional: 6 arm joints plus 1 gripper per arm. A 128-dimensional non-robot state carries object/scene information for diagnostics. Actions are stored as absolute joint targets. The training recipe converts the 12 arm dimensions to deltas relative to the current action-chunk anchor while the 2 gripper dimensions stay absolute. The normalization statistics in meta/stats.json are computed in that 50-step relative space — do not… Publicly accessible apache-2.0 [View dataset](https://savrn.com/datasets/telearms-yam-cube-v4) Dataset ### [HTTM-GK-2026](https://savrn.com/datasets/httm-gk-2026) [Huỳnh Thúy Minh Nguyệt](https://savrn.com/model-publishers/monmoonluna) Publicly accessible [View dataset](https://savrn.com/datasets/httm-gk-2026) Dataset ### [maxrl_dppo_qwen3_1p7B_base_knk_rollouts](https://savrn.com/datasets/maxrl-dppo-qwen3-1p7b-base-knk-rollouts) [Fahim Tajwar](https://savrn.com/model-publishers/ftajwar) Training rollouts of one verl run, one parquet per trainer step (data/step-.parquet), rows in the order the trainer consumed them; the rollout.n samples of a prompt are contiguous and share uid. prompttokenids / responsetokenids are the exact token ids (special tokens kept, no padding) and rolloutlogprobs the sampling-time log-prob of every response token. input / output are decoded with skipspecialtokens=True and are for reading only. score is the raw reward. Publicly accessible [View dataset](https://savrn.com/datasets/maxrl-dppo-qwen3-1p7b-base-knk-rollouts) Dataset ### [physjepa-motion-caches](https://savrn.com/datasets/physjepa-motion-caches) [Rlyang](https://savrn.com/model-publishers/yrlyrl) Derived caches for two-stage physics-consistent video generation on Physion. stage1flowtargets/ -- analytic ground-truth optical flow reconstructed from the simulator's mesh vertices, quaternion poses and camera matrices by z-buffer rasterisation (Drape uses flex particles + Delaunay). Not RAFT. Each entry holds flow (7,2,160,160) in pixels, forward and cumulative from the first frame at 0.2s..1.4s, plus visibility, objectmask, futuremask, instanceid, centers. Valid only inside objectmask; background is exactly zero. stage2affineconditions/ -- Stage-2 conditions built from the same flow after projecting it onto one 2D affine transform per instance per horizon. Packed as ~1GB tar shards; see… Publicly accessible mit [View dataset](https://savrn.com/datasets/physjepa-motion-caches) Dataset ### [redshift](https://savrn.com/datasets/redshift) [Vu Thu Phuong](https://savrn.com/model-publishers/phuongvu46018) Publicly accessible [View dataset](https://savrn.com/datasets/redshift) Dataset ### [saraiki-dpo-sft-dataset](https://savrn.com/datasets/saraiki-dpo-sft-dataset) [Muhammad Farjad Ali Raza](https://savrn.com/model-publishers/themohal) Preference data for training and aligning Saraiki language models using Direct Preference Optimization (DPO). Saraiki (سرائیکی) is an Indo-Aryan language spoken primarily in Pakistan, particularly across southern Punjab and neighboring regions. It has a rich linguistic, literary, and cultural heritage, with its own vocabulary, grammatical structures, and regional varieties. Despite its significant speaker community, Saraiki remains a low-resource language in Natural Language Processing (NLP), with relatively limited digital datasets, language models, and computational resources compared with widely supported languages. The Saraiki Direct Preference Optimization Dataset is a curated… Access requested at publisher cc-by-nc-4.0 [View dataset](https://savrn.com/datasets/saraiki-dpo-sft-dataset) Dataset ### [PhysMani-Bench](https://savrn.com/datasets/physmani-bench) [vLAR Group - HK PolyU](https://savrn.com/model-publishers/vlar) Dataset, checkpoints, and demo video for the PhysMani release. Public files intentionally use neutral names. Internal source filenames are not part of the public release interface. Publicly accessible [View dataset](https://savrn.com/datasets/physmani-bench) Dataset · Text classification ### [lidl-ch-products](https://savrn.com/datasets/lidl-ch-products) [Yelin Z.](https://savrn.com/model-publishers/yelinz) All products and their information from Lidl Switzerland. The entire catalogue and the current special discounts are all included. Check out similar datasets for other grocery stores - https://huggingface.co/datasets/Yelinz/migros-ch-products - https://huggingface.co/datasets/Yelinz/coop-ch-products - https://huggingface.co/datasets/Yelinz/denner-ch-products Publicly accessible cc-by-4.0 1K