# Datasets, Page 80 of 132
Source: https://savrn.com/datasets/page/80
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

### [TBNBiema1809](https://savrn.com/datasets/tbnbiema1809)

[Saophaixoan1](https://savrn.com/model-publishers/saophaixoan1)

Publicly accessible

[View dataset](https://savrn.com/datasets/tbnbiema1809)

Dataset

### [VERILOG_TRANS](https://savrn.com/datasets/verilog-trans)

[SAIFI INDUSTRIES](https://savrn.com/model-publishers/saifiindustries)

Publicly accessible

[View dataset](https://savrn.com/datasets/verilog-trans)

Dataset

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

[Ddci](https://savrn.com/model-publishers/ddfic20)

Publicly accessible

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

Dataset

### [marina](https://savrn.com/datasets/marina-2)

[Shirley Thomas Simmons](https://savrn.com/model-publishers/shirleytsimmons3526)

Publicly accessible

[View dataset](https://savrn.com/datasets/marina-2)

Dataset

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

[Beijing Academy of Artificial Intelligence](https://savrn.com/model-publishers/baai)

Publicly accessible mit

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

Dataset

### [ipfs_finland_municipal_laws](https://savrn.com/datasets/ipfs-finland-municipal-laws)

[Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis)

Target repo: endomorphosis/ipfsfinlandmunicipallaws (new; there's no existing FI municipal repo on the Hub). Official websites of the 20 largest Finnish municipalities (Statistics Finland codes in ids, fi-mun- - ). - Rule pages were found through each city's sitemaps (robots.txt Sitemap: lines or the default sitemap paths) using a keyword filter: hallintosääntö, johtosääntö, järjestyssääntö, toimintasääntö, taloussääntö, säännöt, taksa, maksut, rakennusjärjestys, ympäristönsuojelumääräykset, jätehuoltomääräykset. - Text comes from the official PDFs linked on those pages (pdftotext; PDFs without a text layer were skipped, no OCR), or from the HTML rule pages where the city publishes the rule…

Publicly accessible other

[View dataset](https://savrn.com/datasets/ipfs-finland-municipal-laws)

Dataset

### [scans-corp](https://savrn.com/datasets/scans-corp)

[Siddhant Bhattarai](https://savrn.com/model-publishers/w4ashabii)

Access requested at publisher

[View dataset](https://savrn.com/datasets/scans-corp)

Dataset

### [swift](https://savrn.com/datasets/swift-2)

[Ngo Thi Trang](https://savrn.com/model-publishers/trangngo97611)

Publicly accessible

[View dataset](https://savrn.com/datasets/swift-2)

Dataset

### [AuthGlass_Dataset](https://savrn.com/datasets/authglass-dataset)

[Zhang Jiang](https://savrn.com/model-publishers/jz0102)

Publicly accessible cc-by-4.0 100B<n<1T

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

Dataset

### [a83d4a623f8e45b2acdf94d08bd57fba](https://savrn.com/datasets/a83d4a623f8e45b2acdf94d08bd57fba)

[Hokedo Mashida](https://savrn.com/model-publishers/cesariofern)

Remote directories and file names are randomized. Existing archives within the size limit retain their original bytes and extensions. Oversized tar archives are repacked into independently readable, uncompressed tar shards, each no larger than 15,000,000,000 bytes including tar headers and padding. Archive member paths and payload bytes are preserved. Shard boundaries and compression may change; tar layout alone does not guarantee WebDataset compatibility. Access requires manual approval. The source-path mapping is retained locally by the owner. Contact the owner for provenance, format guidance and applicable source licenses. This repository grants no additional rights to the underlying…

Access requested at publisher

[View dataset](https://savrn.com/datasets/a83d4a623f8e45b2acdf94d08bd57fba)

Dataset

### [channel_lib](https://savrn.com/datasets/channel-lib)

[Izuemon](https://savrn.com/model-publishers/izuemon)

Channel Works関連のいろいろ。 MITライセンスなので自由に使えます。ライセンス表記も不要だけど書いてくれるとうれしいな。

Publicly accessible mit

[View dataset](https://savrn.com/datasets/channel-lib)

Dataset

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

[Sonchuate](https://savrn.com/model-publishers/sonchuate)

Publicly accessible

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

Dataset

### [probe-activations-gemma4-12b-it](https://savrn.com/datasets/probe-activations-gemma4-12b-it)

[Utkarsh Khanna](https://savrn.com/model-publishers/utkarshk07)

Publicly accessible

[View dataset](https://savrn.com/datasets/probe-activations-gemma4-12b-it)

Dataset

### [150-3oa-6.9-3id-7](https://savrn.com/datasets/150-3oa-6-9-3id-7)

[Shufan Jiang](https://savrn.com/model-publishers/tsumugii)

Publicly accessible

[View dataset](https://savrn.com/datasets/150-3oa-6-9-3id-7)

Dataset

### [AVC-Benchmark](https://savrn.com/datasets/avc-benchmark)

[Yuruo Wu](https://savrn.com/model-publishers/tsuki0512)

706-sample audio-video consistency benchmark. Media is here; the score CSV and evaluation script are on GitHub. From the GitHub repository

Publicly accessible

[View dataset](https://savrn.com/datasets/avc-benchmark)

Dataset

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

[Rainbow Robotics](https://savrn.com/model-publishers/rainbowrobotics)

Publicly accessible

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

Dataset

### [Lumina-Math-Foundation-V2](https://savrn.com/datasets/lumina-math-foundation-v2)

[Lumina Moon](https://savrn.com/model-publishers/cloverx-id)

please wait... see the preview HERE

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/lumina-math-foundation-v2)

Dataset

### [ipfs_switzerland_municipal_laws](https://savrn.com/datasets/ipfs-switzerland-municipal-laws)

[Benjamin J Barber](https://savrn.com/model-publishers/endomorphosis)

Target repo: endomorphosis/ipfsswitzerlandmunicipallaws (new; there's no existing CH municipal repo on the Hub). - LexFind.ch (https://www.lexfind.ch): public frontend JSON API, category 9 "Gemeindeerlass", active texts only. Text comes from the official PDFs of the Basel-Stadt law collection (gesetzessammlung.bs.ch), extracted with pdftotext (no OCR). Covers Einwohnergemeinde Riehen (RiE), Einwohnergemeinde Bettingen (BeE) and Bürgergemeinde Basel (BaB). - Stadtrecht Bern (https://stadtrecht.bern.ch, Systematische Sammlung des Stadtrechts, SSSB): the lex- acts listed in sitemap.xml, with text from each act's official PDF export (.pdf). - Stadt Zürich Amtliche Sammlung…

Publicly accessible other

[View dataset](https://savrn.com/datasets/ipfs-switzerland-municipal-laws)

Dataset

### [tucson-boards-commissions](https://savrn.com/datasets/tucson-boards-commissions)

[Josh Estrada](https://savrn.com/model-publishers/acloudcenter)

Publicly accessible

[View dataset](https://savrn.com/datasets/tucson-boards-commissions)

Dataset

### [vistream-data](https://savrn.com/datasets/vistream-data)

[Vu Hoang Anh](https://savrn.com/model-publishers/vamcrizer)

Publicly accessible

[View dataset](https://savrn.com/datasets/vistream-data)

Dataset

### [comparia-fr-arena-raw](https://savrn.com/datasets/comparia-fr-arena-raw)

[Ministère de la Culture (SNUM)](https://savrn.com/model-publishers/ministere-culture)

Access requested at publisher

[View dataset](https://savrn.com/datasets/comparia-fr-arena-raw)

Dataset

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

[Frank Marie Medina](https://savrn.com/model-publishers/frankmmedina551)

Publicly accessible

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

Dataset

### [overthinking-logit-bias](https://savrn.com/datasets/overthinking-logit-bias)

[UEDA Naoaki](https://savrn.com/model-publishers/na0x2c6)

Logit bias lists and a script to apply the overthinking penalty of Lotfi et al., "Quantized Reasoning Models Think They Need to Think Longer, but They Do Not" (arXiv:2606.00206) with llama.cpp's llama-server. The method subtracts a fixed λ from the logits of 50 overthinking markers (Appendix C, Table 8: " Wait", " But", " Alternatively", " perhaps",...) at every decoding step. It needs no extra forward pass, so llama.cpp's logit bias is all it takes. For Ornith-1.5 and models built from it (e.g. Tiel-Coder), use the paragraph-initial list (--initial, bias/ornith-1.5-35b-a3b/initial-lambda-) rather than the paper's list. These models open a new line of reasoning at the start of a paragraph…

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/overthinking-logit-bias)

Dataset

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

[Ho Xuan Thao](https://savrn.com/model-publishers/thaoho53789)

Publicly accessible

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

## 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.