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.
Updated 2026-10-19 · How the library is built
3,247 datasets, sorted by most downloaded.
Part 2 of 5 of the competition data release yubi-corl2026-umi-arena for The UMI Arena (CoRL 2026), organized by the AI Robot Association (AIRoA). All five parts are covered by the same Limited-Access Dataset Terms of Use; the release identifier in the terms, yubi-corl2026-umi-arena, refers to all five repositories. The center camera video is not included in this release. Access is limited to registered participants of The UMI Arena policy competition: 1. Register for the competition and submit the NDA via the 2. Request access on this page with the same Hugging Face account; requests are approved manually after registration is verified. 3. Questions: [email protected]. source footage were…
Part 3 of 5 of the competition data release yubi-corl2026-umi-arena for The UMI Arena (CoRL 2026), organized by the AI Robot Association (AIRoA). All five parts are covered by the same Limited-Access Dataset Terms of Use; the release identifier in the terms, yubi-corl2026-umi-arena, refers to all five repositories. The center camera video is not included in this release. Access is limited to registered participants of The UMI Arena policy competition: 1. Register for the competition and submit the NDA via the 2. Request access on this page with the same Hugging Face account; requests are approved manually after registration is verified. 3. Questions: [email protected]. source footage were…
English TTS（語音合成）訓練集 ASR（語音識別）訓練集或測試集 TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaaitts 所有文本都根據 https://jyutping.org/blog/typo/ 同 https://jyutping.org/blog/particles/ 規範用字。 所有音頻源都存放喺/source，為方便直接用作訓練數據，切分後嘅音頻都放喺 opus/ 所有 opus 音頻皆為
Model Collections
Hand-picked starting points, each with the reason it exists.
Collection · 4 entries
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.
Collection · 4 entries
Models that fit 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.
Collection · 6 entries
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.
Collection · 3 entries
Speech and audio models
Recognition and synthesis models, grouped so the two directions are easy to compare.
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
The same open-weight model priced by every host that serves it, per million tokens.
Research Hub
Data center trackers and maps
Moratoriums, permits, power, water and capital behind the facilities that run these models.
Method
How the Model Hub is built
Sources, evidence labels, refresh behaviour, and the limits of every comparison here.