# Datasets, Page 86 of 132
Source: https://savrn.com/datasets/page/86
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 · Image to text

### [synthetic-ocr-images-ko-1M](https://savrn.com/datasets/synthetic-ocr-images-ko-1m)

[Junyeong Song](https://savrn.com/model-publishers/junyeong-nero)

This repository contains a synthetic OCR dataset generated by the Synthetic OCR Image Generator pipeline. It is intended for benchmarking and evaluating OCR or VLM systems on markdown-oriented document recognition tasks. - train: 463,500 samples - test: 51,500 samples Each example is generated automatically and published with split-aware metadata for reproducible evaluation workflows. Document text is derived from: Korean WikiText (https://github.com/lovit/kowikitext), CC BY-SA 3.0 Counts are computed from the published metadata.jsonl. Every column below is also available per sample for filtering. The links above record the source repository state used when Use the command below to…

Publicly accessible cc-by-sa-3.0 100K<n<1M

[View dataset](https://savrn.com/datasets/synthetic-ocr-images-ko-1m)

Dataset · Robotics

### [0603_pi0_onlyright](https://savrn.com/datasets/0603-pi0-onlyright)

[National Engineering Research Center for Big Data Software](https://savrn.com/model-publishers/thulab)

Apache TsFile version of weiye11/0603pi0onlyright. A right-arm-only teleoperation dataset recorded on an SO-100 robot and packaged in the LeRobot v2.1 layout. Each row is one control step: a 6-dimensional right-arm joint/gripper state and the 6-dimensional commanded action. The source dataset card does not name the manipulation task; the metadata records a single task (taskindex = 0). - Time (INT64, milliseconds) — round(timestamp 1000); restarts at 0 for each episode. - episodeindex (TAG) — episode / device dimension. - taskindex (TAG) — task dimension (constant 0 here). - frameindex (FIELD, INT64) — source frame counter; sampleindex (FIELD, INT64) — source index column (renamed).…

Publicly accessible apache-2.0 1K<n<10K

[View dataset](https://savrn.com/datasets/0603-pi0-onlyright)

Dataset

### [06231df73c012a3f0a3e385f76310520](https://savrn.com/datasets/06231df73c012a3f0a3e385f76310520)

[Multimodal Art Projection](https://savrn.com/model-publishers/m-a-p)

Access requested at publisher

[View dataset](https://savrn.com/datasets/06231df73c012a3f0a3e385f76310520)

Dataset

### [0f463d3153ab6dcce44cb16c9150589466a8ee16](https://savrn.com/datasets/0f463d3153ab6dcce44cb16c9150589466a8ee16)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/0f463d3153ab6dcce44cb16c9150589466a8ee16)

Dataset

### [10112026cowwbot](https://savrn.com/datasets/10112026cowwbot)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/10112026cowwbot)

Dataset

### [13112026cowwbot](https://savrn.com/datasets/13112026cowwbot)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/13112026cowwbot)

Dataset

### [14peg](https://savrn.com/datasets/14peg)

[Wai Cheuk Leung](https://savrn.com/model-publishers/worst87)

Publicly accessible

[View dataset](https://savrn.com/datasets/14peg)

Dataset

### [150-3oa-11.5-3id-15.6](https://savrn.com/datasets/150-3oa-11-5-3id-15-6)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/150-3oa-11-5-3id-15-6)

Dataset

### [150-3oa-13.1-3id-10.9](https://savrn.com/datasets/150-3oa-13-1-3id-10-9)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/150-3oa-13-1-3id-10-9)

Dataset

### [150-3oa-13.1-3id-17.2](https://savrn.com/datasets/150-3oa-13-1-3id-17-2)

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

Publicly accessible

[View dataset](https://savrn.com/datasets/150-3oa-13-1-3id-17-2)

Dataset

### [18](https://savrn.com/datasets/18)

[Renata Pacheco Ramos](https://savrn.com/model-publishers/data018)

Publicly accessible

[View dataset](https://savrn.com/datasets/18)

Dataset

### [2018-45days-15steps-fmmodel-weatherbench-ens-50](https://savrn.com/datasets/2018-45days-15steps-fmmodel-weatherbench-ens-50)

[Kuzhamuratov Arsen](https://savrn.com/model-publishers/kuzhamuratov)

Один zip — одна начальная дата. Внутри zip лежит Zarr v2 (consolidated=True) с этой датой: idx=50, predictiontimedelta=49, latitude=120, longitude=240, level=3.

Publicly accessible other

[View dataset](https://savrn.com/datasets/2018-45days-15steps-fmmodel-weatherbench-ens-50)

Dataset

### [2026-09-22-mask-qwen36-0-nosynth](https://savrn.com/datasets/2026-09-22-mask-qwen36-0-nosynth)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-09-22-mask-qwen36-0-nosynth)

Dataset

### [2026-09-24-swebench-qwen36-0-da-15](https://savrn.com/datasets/2026-09-24-swebench-qwen36-0-da-15)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Full 300-task SWE-bench Lite; partial until valid coverage and grading finish field value experiment Full 300-task SWE-bench Lite; partial until valid coverage and grading finish dategenerated constitution none sourcerepo teachingclaudewhyreplication; exact sources and SHA256 in metadata/source models dougalldeepmind/2026-09-23-qwen36-0-da-15@470934c4383241c0c85d109b0e361cfa9ce20f4d; base

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-09-24-swebench-qwen36-0-da-15)

Dataset

### [2026-10-01-da-otherai-context-15-mix](https://savrn.com/datasets/2026-10-01-da-otherai-context-15-mix)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

field value experiment dategenerated constitution constitutions/claudedistilled09principles/constitution.md sourcerepo https://github.com/Matthew-Bozoukov/LessonsfromconstituitionalAFT.git @ 57074c3220502538754c68bb8444e8189081c537 models {"tokenizer": {"repo": "Qwen/Qwen3.6-27B", "revision"

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-01-da-otherai-context-15-mix)

Dataset

### [2026-10-01-da-otherai-context-synth](https://savrn.com/datasets/2026-10-01-da-otherai-context-synth)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

field value experiment dategenerated constitution constitutions/claudedistilled09principles/constitution.md sourcerepo https://github.com/Matthew-Bozoukov/LessonsfromconstituitionalAFT.git @ 57074c3220502538754c68bb8444e8189081c537 models {"tokenizer": {"repo": "Qwen/Qwen3.6-27B", "revision"

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-01-da-otherai-context-synth)

Dataset

### [2026-10-01-da-otherai-neutral-15-mix](https://savrn.com/datasets/2026-10-01-da-otherai-neutral-15-mix)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

field value experiment dategenerated constitution constitutions/claudedistilled09principles/constitution.md sourcerepo https://github.com/Matthew-Bozoukov/LessonsfromconstituitionalAFT.git @ 57074c3220502538754c68bb8444e8189081c537 models {"tokenizer": {"repo": "Qwen/Qwen3.6-27B", "revision"

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-01-da-otherai-neutral-15-mix)

Dataset

### [2026-10-01-da-otherai-neutral-synth](https://savrn.com/datasets/2026-10-01-da-otherai-neutral-synth)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

field value experiment dategenerated constitution constitutions/claudedistilled09principles/constitution.md sourcerepo https://github.com/Matthew-Bozoukov/LessonsfromconstituitionalAFT.git @ 57074c3220502538754c68bb8444e8189081c537 models {"tokenizer": {"repo": "Qwen/Qwen3.6-27B", "revision"

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-01-da-otherai-neutral-synth)

Dataset

### [2026-10-07-swebench-qwen36-0-da-15-lite-v5](https://savrn.com/datasets/2026-10-07-swebench-qwen36-0-da-15-lite-v5)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Full 300-task SWE-bench Lite; partial until valid coverage and grading finish field value experiment Full 300-task SWE-bench Lite; partial until valid coverage and grading finish dategenerated constitution none sourcerepo teachingclaudewhyreplication; exact sources and SHA256 in metadata/source models dougalldeepmind/2026-10-05-qwen36-0-da-15@ce773a6b87db66bd569dd13071ec5e27201462f1; base

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-07-swebench-qwen36-0-da-15-lite-v5)

Dataset

### [2026-10-11-swebench-gemma4-0-da-15-lite-gemma-v2](https://savrn.com/datasets/2026-10-11-swebench-gemma4-0-da-15-lite-gemma-v2)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Full 300-task SWE-bench Lite; partial until valid coverage and grading finish field value experiment Full 300-task SWE-bench Lite; partial until valid coverage and grading finish dategenerated constitution none sourcerepo teachingclaudewhyreplication; exact sources and SHA256 in metadata/source models dougalldeepmind/2026-10-10-gemma4-0-da-15@7489780ea40f1b58e9c913c11331462af0875a15; base

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-11-swebench-gemma4-0-da-15-lite-gemma-v2)

Dataset

### [2026-10-11-swebench-gemma4-0-plain-lite-gemma-v2](https://savrn.com/datasets/2026-10-11-swebench-gemma4-0-plain-lite-gemma-v2)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Full 300-task SWE-bench Lite; partial until valid coverage and grading finish field value experiment Full 300-task SWE-bench Lite; partial until valid coverage and grading finish dategenerated constitution none sourcerepo teachingclaudewhyreplication; exact sources and SHA256 in metadata/source models dougalldeepmind/2026-10-09-gemma4-0-plain@6d22d5c5fb5d25a7b0aca8b18c1babd6052a6ee5; base

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-11-swebench-gemma4-0-plain-lite-gemma-v2)

Dataset · Robotics

### [2026-10-14_twist_02-lerobot-with-rinse](https://savrn.com/datasets/2026-10-14-twist-02-lerobot-with-rinse)

[Yongliang Lyu](https://savrn.com/model-publishers/lyl472324464)

This dataset was created using LeRobot.

Publicly accessible apache-2.0

[View dataset](https://savrn.com/datasets/2026-10-14-twist-02-lerobot-with-rinse)

Dataset

### [2026-10-15-petri-qwen36](https://savrn.com/datasets/2026-10-15-petri-qwen36)

[Dougall DeepMind](https://savrn.com/model-publishers/dougalldeepmind)

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-15-petri-qwen36)

Dataset

### [2026-10-15-rebot-mask-grab-newcam-fulltask](https://savrn.com/datasets/2026-10-15-rebot-mask-grab-newcam-fulltask)

[Yongliang Lyu](https://savrn.com/model-publishers/lyl472324464)

Publicly accessible

[View dataset](https://savrn.com/datasets/2026-10-15-rebot-mask-grab-newcam-fulltask)

## 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.
