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
3,164 datasets, sorted by most downloaded.
English from 282 speakers born in 35 countries. 513 clips, 9.3 hours, each labelled with the speaker's country of birth, first language, self-reported accent or regional variety, declared English proficiency, age band, gender and recording device. Audio and speaker metadata only. Human-validated transcription is available on request. English as it is actually spoken worldwide is mostly not American or British. Across Silencio's English catalogue, 59% of recorded hours come from speakers born in Africa and only about 11% from the US, UK, Canada, Australia, Ireland and New Zealand combined. Nigeria, the largest single origin, is 16% of hours. This sample covers 35 countries of birth.…
This dataset contains source-grounded English decisions with natural-language choices and answer text/index. Rich configurations retain source citations, annotation lineage, validation outcomes, generation history, and teacher outputs. Compact configurations are training-oriented physical shards. The all and allcompact configurations reuse the category shard paths and do not upload duplicate copies. No source license allowlist is applied. Each rich record preserves the source license, pinned revision, source URL, and citation; missing license evidence is recorded as unknown. The repository combines sources with different terms, so consult the row-level license evidence and each source's…
Complete, Etsy-ready Tier 1 product packages: life-transition finance trackers, digital products. One design system, three listings, one bundle. 04-launch-checklist.md applies to all three (build → mockups → listing → compliance → launch cadence). - -canva-content.md: every page fully written, recreate in Canva (~1–2 hrs each) - -notion-content.md: databases, views, working formulas - -listing-kit.md: 140-char SEO title, 13 tags (≤20 chars), full description, pricing, cross-sell hooks - Digital margins 85–92% after Etsy fees; trio bundle compounds AOV to 2.5×. - Build once (~2–3 hrs per product, heavy reuse across files), sell forever; list all three within 2 weeks toward the 30-listing…
This dataset was created using LeRobot.
This dataset was created using LeRobot.
Apache TsFile version of nduque/evalrobustnesse93fullfklocal240k. This is an evaluation-robustness teleoperation dataset recorded on a Koch robot arm and packaged in the LeRobot v2.1 layout. Each row is one control step: a 6-dimensional joint/gripper state, the 6-dimensional commanded action, and a 4-dimensional local end-effector pose. 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…
fcovl00noeosQwen3-1.7Bcompressionbs32n1632kt1verl091 One verified gzip JSONL shard per training step; 512 responses per shard. Historical compression MathVerify after thinking, without an EOS gate.
This repository temporarily relays assets for PIHA with a five-layer text-conditioned action head and FineVideo replay. It is not a standalone curated dataset release. Successfully downloaded and SHA256-verified shards are removed as the transfer proceeds. Source assets retain their original terms and attribution: Training code/configuration and credentials are not included in these public asset shards.
Exact data, public pretrained initialization, and offline Linux x8664 environment for 12 independent RMBench tasks. This snapshot preserves the rmbenchfastwamgtcovercurrentgbs64200k training settings: seed 42, global batch 64, 200000 optimizer steps, current observations, ground-truth subtask text, 32 actions, and subtask-boundary terminal hold. 600 demonstrations / 416711 frames, with the exact original LeRobot episode order and 46 cached GT subtask prompts. Public Wan 2.2, VAE, T5 and ActionDiT initialization are included. Previously trained project checkpoints are excluded. Repository-relative paths match the accompanying code: https://github.com/exploreing2333/fastwam-rmbench-training…
On 2026-09-18 a 405M parameter recurrent language model (xelananv/fhe-ssm-pbd430a) generated text for 64 prompts at once under CKKS fully homomorphic encryption on a rented 2 GPU server, with the keys generated on a laptop & the secret key never leaving it. This dataset is that session, complete: the keys, every ciphertext that went to the server and every ciphertext that came back, the plaintext rows that were encrypted, the rows the laptop decrypted, and the tokens. With it, anyone can check on a laptop, in a few minutes, that the server's replies decrypt to the model's output, that the requests were the embeddings of the recorded tokens, and that the tokens the session produced follow…
Temporary staging for transferring files between authorized machines. File access requires manual approval. External access requests are not approved. Repository metadata and this README may be publicly visible. Do not upload credentials, access tokens, or other secrets. Use task-specific directories, checksum manifests, and pinned revisions for transfers.
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.