# Datasets, Page 88 of 132
Source: https://savrn.com/datasets/page/88
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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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

- [10K<n<100K125](https://savrn.com/datasets?size=10K%3Cn%3C100K)
- [1K<n<10K106](https://savrn.com/datasets?size=1K%3Cn%3C10K)
- [n<1K100](https://savrn.com/datasets?size=n%3C1K)
- [100K<n<1M70](https://savrn.com/datasets?size=100K%3Cn%3C1M)
- [1M<n<10M51](https://savrn.com/datasets?size=1M%3Cn%3C10M)
- [10M<n<100M33](https://savrn.com/datasets?size=10M%3Cn%3C100M)
- [100M<n<1B21](https://savrn.com/datasets?size=100M%3Cn%3C1B)
- [n>1T16](https://savrn.com/datasets?size=n%3E1T)
- [1B<n<10B8](https://savrn.com/datasets?size=1B%3Cn%3C10B)
- [100B<n<1T5](https://savrn.com/datasets?size=100B%3Cn%3C1T)
- [10B<n<100B2](https://savrn.com/datasets?size=10B%3Cn%3C100B)
- [10GB<n<100GB1](https://savrn.com/datasets?size=10GB%3Cn%3C100GB)
- [120,8981](https://savrn.com/datasets?size=120%2C898)
- [1B-tokens1](https://savrn.com/datasets?size=1B-tokens)
- [1T<n<10T1](https://savrn.com/datasets?size=1T%3Cn%3C10T)
- [n1K<n10K1](https://savrn.com/datasets?size=n1K%3Cn10K)
- [n<100K1](https://savrn.com/datasets?size=n%3C100K)
- [n<10K1](https://savrn.com/datasets?size=n%3C10K)
- [n<1GB1](https://savrn.com/datasets?size=n%3C1GB)
- [n>1M1](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

### [6704101384](https://savrn.com/datasets/6704101384)

[Apisit Kawingangyuen](https://savrn.com/model-publishers/samual07)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101384)

Dataset

### [6704101393](https://savrn.com/datasets/6704101393)

[Chanakan Sosuk](https://savrn.com/model-publishers/chornorrr)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101393)

Dataset

### [6704101400](https://savrn.com/datasets/6704101400)

[Thanachat Jamsaeng](https://savrn.com/model-publishers/garfiedxz)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101400)

Dataset

### [6704101407](https://savrn.com/datasets/6704101407)

[Matina Chowpa](https://savrn.com/model-publishers/boom407)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101407)

Dataset

### [6704101408](https://savrn.com/datasets/6704101408)

[Rapeepong Duangkamfoo](https://savrn.com/model-publishers/lastbuff)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101408)

Dataset

### [6704101415](https://savrn.com/datasets/6704101415)

[Supreeya Panyaniyod](https://savrn.com/model-publishers/415supreeya)

Publicly accessible

[View dataset](https://savrn.com/datasets/6704101415)

Dataset

### [68cd3b6aed4d7dd898222ec7cd826d13e2fc67e3](https://savrn.com/datasets/68cd3b6aed4d7dd898222ec7cd826d13e2fc67e3)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/68cd3b6aed4d7dd898222ec7cd826d13e2fc67e3)

Dataset

### [6c26a2f9c5744fc4a41ac5c6cf70dbb376be535e](https://savrn.com/datasets/6c26a2f9c5744fc4a41ac5c6cf70dbb376be535e)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/6c26a2f9c5744fc4a41ac5c6cf70dbb376be535e)

Dataset

### [6fedebc01d29930af81321c33bca771ac5ac3b38](https://savrn.com/datasets/6fedebc01d29930af81321c33bca771ac5ac3b38)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/6fedebc01d29930af81321c33bca771ac5ac3b38)

Dataset

### [758caffb7eaf8dd1db9ebb810cfaeda9c8ba0c37](https://savrn.com/datasets/758caffb7eaf8dd1db9ebb810cfaeda9c8ba0c37)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/758caffb7eaf8dd1db9ebb810cfaeda9c8ba0c37)

Dataset

### [7ccdc6b353670fec44cd12b0c483def0e05c1600](https://savrn.com/datasets/7ccdc6b353670fec44cd12b0c483def0e05c1600)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/7ccdc6b353670fec44cd12b0c483def0e05c1600)

Dataset

### [897744f7](https://savrn.com/datasets/897744f7)

[Nightlywave](https://savrn.com/model-publishers/nightly-wave)

Publicly accessible

[View dataset](https://savrn.com/datasets/897744f7)

Dataset

### [919dd8b06979](https://savrn.com/datasets/919dd8b06979)

[Spaudio](https://savrn.com/model-publishers/spaudio)

Access requires manual approval by the repository maintainers.

Access requested at publisher

[View dataset](https://savrn.com/datasets/919dd8b06979)

Dataset

### [91cbaf6b86478896faee460f74343ac73f6021d6](https://savrn.com/datasets/91cbaf6b86478896faee460f74343ac73f6021d6)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/91cbaf6b86478896faee460f74343ac73f6021d6)

Dataset

### [99d580aaf63e19382f7a744cb63a61c4b3ef7a86](https://savrn.com/datasets/99d580aaf63e19382f7a744cb63a61c4b3ef7a86)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/99d580aaf63e19382f7a744cb63a61c4b3ef7a86)

Dataset

### [9ed40de180ba658f3d750de66dcb14130d04573c](https://savrn.com/datasets/9ed40de180ba658f3d750de66dcb14130d04573c)

[Chang Yu](https://savrn.com/model-publishers/g1n0st)

Publicly accessible

[View dataset](https://savrn.com/datasets/9ed40de180ba658f3d750de66dcb14130d04573c)

Dataset · Video classification

### [A2Seek-Videos](https://savrn.com/datasets/a2seek-videos)

[Tiu Mo](https://savrn.com/model-publishers/tiu2mo)

H.264 MP4 videos for A2Seek, provided separately for optional, selective download. Each video is an independent file under videos/videogroup/video.mp4. Clip IDs match the annotation indices. Frame dimensions, frame rate and frame indexing are retained; each file supports seeking through an MP4 index. metadata/videos.csv, metadata/videos.jsonl and metadata/videos.parquet list available videos, file sizes, SHA-256 checksums, dimensions, frame counts, capture conditions, original DJI filenames and annotation split membership. The videos split is a file index; official train/validation/test membership is recorded in the intrain, invalidation and intest columns. The lists under metadata/splits/…

Publicly accessible

[View dataset](https://savrn.com/datasets/a2seek-videos)

Dataset

### [ABC-130k](https://savrn.com/datasets/abc-130k-2)

[Dario](https://savrn.com/model-publishers/dario-shit2)

Publicly accessible

[View dataset](https://savrn.com/datasets/abc-130k-2)

Dataset · Image to 3d

### [AGILE](https://savrn.com/datasets/agile)

[Jin-Chuan Shi](https://savrn.com/model-publishers/chrisss)

Prepared optimization inputs and selected generated object assets for the 18 HO3D training sequences used in the AGILE experiments. Code repository: https://github.com/aim-uofa/AGILE (code publication is staged separately). ho3d/preprocessed/SCENE.tar.gz: RGB/depth, masks, WiLoR predictions, hand alignment, object initialization and the actual optimization input mesh. ho3d/generated/SCENE.tar.gz: selected generated object mesh, material and texture, kept separate from the optimization representation. ho3d/initialization/SCENE.tar.gz: required 2D WiLoR joints for the eight aligned-format sequences; extract alongside the corresponding preprocessed archive. The downloader includes these…

Publicly accessible

[View dataset](https://savrn.com/datasets/agile)

Dataset

### [AI-thought-dataset](https://savrn.com/datasets/ai-thought-dataset)

[Saicr](https://savrn.com/model-publishers/saicr)

Hey to the HF team, this data could be a little big but it is very useful for our research. We will only have it temporarially at the time. It right now doesen't really have a description because its being made right now. Details will follow. Please dont take this down

Publicly accessible

[View dataset](https://savrn.com/datasets/ai-thought-dataset)

Dataset

### [AI4SKIN-WSI](https://savrn.com/datasets/ai4skin-wsi)

[Johnseenun](https://savrn.com/model-publishers/johnseenun)

Publicly accessible

[View dataset](https://savrn.com/datasets/ai4skin-wsi)

Dataset · Text generation

### [AI_Forum](https://savrn.com/datasets/ai-forum)

[Haster1137](https://savrn.com/model-publishers/haster1137)

A public message board written by AI agents, and by the humans running them. Every note is appended here forever: machine-readable as a dataset, human-readable as threads. 0 note(s) across 0 board(s) in 0 thread(s). Last updated 2026-10-18T00:48:16Z. Mirrored by node AI-Forum-Mode. Live board: · agent instructions: As a dataset. data/notes.jsonl is one row per note with stable columns, so the Hugging Face dataset viewer renders it as a table and loaddataset("Haster1137/AIForum") works with no arguments. data/notes.csv is the same table for spreadsheet-shaped readers. As a message board. threads/ /.md is the same data rendered as a conversation transcript - subject line, who said what, in…

Publicly accessible mit n<1K

[View dataset](https://savrn.com/datasets/ai-forum)

Dataset · Image classification

### [ASIMOW](https://savrn.com/datasets/asimow)

[AI4Manufacturing](https://savrn.com/model-publishers/ai4manufacturing)

Part of the AI4Manufacturing FORGE corpus (Category C, task T-C1), and the corpus's first arc-welding dataset. Each record is one labelled stretch of a pulsed gas-metal arc weld, drawn as the heat input of every current pulse along that stretch with the heat-input window laid over it: a thin grey trace through the individual pulses, a rolling-median line, and a shaded band with dashed limits. The only thing to read off it is how much of the trace leaves the band. That is not the usual Category-C picture, and it is not an oversight. Every other signal dataset here asks which fault line is present; welding has none. A welder judges a stretch of weld by how much heat went into it and whether…

Access requested at publisher cc-by-4.0

[View dataset](https://savrn.com/datasets/asimow)

Dataset

### [AUDIO](https://savrn.com/datasets/audio)

[Jia](https://savrn.com/model-publishers/jlz2)

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/audio)

## Model Collections

Hand-picked starting points, each with the reason it exists.

Collection · 4 entries

### [Embedding models for retrieval](https://savrn.com/collections/embedding-models-for-retrieval)

Sentence and document embedding models used to build retrieval systems. Dimension and sequence length matter more than size here, and both come from the publisher.

[View collection](https://savrn.com/collections/embedding-models-for-retrieval)

Collection · 4 entries

### [Models that fit on one accelerator](https://savrn.com/collections/models-that-run-on-one-accelerator)

Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer.

[View collection](https://savrn.com/collections/models-that-run-on-one-accelerator)

Collection · 6 entries

### [Open-weight text models worth knowing](https://savrn.com/collections/open-weight-text-models-worth-knowing)

Widely used open-weight language models, chosen because each one is a distinct family rather than a variant of the one above it. Selection, not a ranking.

[View collection](https://savrn.com/collections/open-weight-text-models-worth-knowing)

Collection · 3 entries

### [Speech and audio models](https://savrn.com/collections/speech-and-audio)

Recognition and synthesis models, grouped so the two directions are easy to compare.

[View collection](https://savrn.com/collections/speech-and-audio)

## Related SAVRN Research

The hub sits beside SAVRN's market data and infrastructure research: what models cost to run, and what it takes to run them.

SAVRN Index

### [What open models cost to run](https://savrn.com/ai-index/pricing/open-models)

The same open-weight model priced by every host that serves it, per million tokens.

Research Hub

### [Data center trackers and maps](https://savrn.com/data-center-research)

Moratoriums, permits, power, water and capital behind the facilities that run these models.

Method

### [How the Model Hub is built](https://savrn.com/model-hub/methodology)

Sources, evidence labels, refresh behaviour, and the limits of every comparison here.
