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.
Wikipedia has hundreds of "... by country" articles. The numbers live inside article tables, keyed by country names that differ from article to article. This dataset re-keys every such table to ISO2 so they join. One CSV per source article under tables/. Columns: iso2, country,. Values are kept exactly as printed (num twin columns hold the parsed number where one could be read). index.csv lists every table with its source article, revision id, row count and last change. Built by an autonomous seeker: it lists the articles, reads the tables, matches the country column against a 1,000-name gazetteer (Wikidata labels + aliases), keeps tables with ≥40 matched countries, and re-reads an article…
This dataset is used for file storage purposes. This dataset contains uploaded files organized in the uploads directory.
Patch and slide embeddings for whole-slide images, plus the run records used to produce them. Original WSIs are not in this repo. They stay on HPC / the source dataset remotes. Do not expect.svs /.tif here. Selective download: pull only embeddings/DHMC-LUAD/titan/... or only Run-Information/prep/TCGA-LUAD. There are two HPC job directories. They are not duplicates of the same run: Use DHMC-LUAD for current coords, masks, and later-model logs. Use DHMC-LUAD-TITAN-CONCH for the original TITAN/CONCH job (SLURM 15450381 / 15450382). Kept encoders (see per-model folders under embeddings/DHMC-LUAD/): TITAN 768, CONCH v1.5 768, CONCH v1 512, Virchow 2560, PRISM 1280, Virchow2 2560, Virchow2 CLS…
prettyname: "CarGurus.com US Vehicle Listings Dataset" - open-data - data-science - web-scraping - scraper - crawler - data-collection - used-cars - automotive - car-listings - vehicle-data - car-prices - cargurus - cargurus-com sizecategories: taskcategories: - other - configname: car-listings datafiles: Daily sample of U.S. used car listings from CarGurus.com with deal ratings, vehicle specs, mileage, dealer info, and market positioning data. This dataset is a preview sample of the CarGurus.com (US) dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research. This dataset contains 1 entity…
We are currently developing new version of LMSE translation scoring model and processing additional data sources. We estimate the dataset will expand, with significantly improved quality.(Delayed..) A score of 55% and above indicates high-quality translation pairs, even if the first version of the model we developed gave them such a score. We will try to release a newer model in the future with better quality and consistently fast scoring speeds, and release it to the public once we decide that this model is ready to be published. The Xone Parallel English-Indonesian Corpus is a large-scale parallel corpus containing over 70 million raw sentence pairs compiled from 11 translation datasets.…
The categories are success, vortexoff, tubeempty, capopen, tubedrop, wrongorientation, wrongrack, and rackflipped. Use progress.json and pipelinestatus.json for the current generation status. GENERATIONCOMPLETE.json is created only after final extension validation. Do not infer completeness from the folder name. Each CATEGORY/sceneNNNNNN/ contains three synchronized videos (left.mp4, front.mp4, right.mp4), matching per-video JSON metadata, metadata.json, sharedstate.npz, and three QA contact sheets. manifest.jsonl indexes the currently accepted videos with relative paths. camerarig.json freezes the three camera poses used by the existing set. IDs 000000–000099 are byte-verified independent…
A curated, clustered video clip dataset built to train a from-scratch, small-parameter (~150-200M) video generation model as part of the Codeically "smallest video gen model" video series. Raw footage (batch01/ … batchNN/) — source videos as collected, each batch with its own manifest.csv: Processed clips (clips/ /.mp4 + clipsmanifest.csv) — the actual training data. Each raw source video is cut into fixed-length windows, resized, and resampled: - 2 seconds per clip, no overlap between windows - ~160px wide (height auto-scaled), landing in a 128–192px band - 10fps (20 frames per clip), landing in an 8–12fps band clipsmanifest.csv columns: clipfilename, cluster, category, source, license…
An independent copy of United States federal public datasets that have been removed, discontinued, degraded, or formally proposed for elimination. Everything here was already public and is United States Government work, which is not subject to copyright under Nothing in this mirror is modified. No values are corrected, no records are dropped, no columns are renamed, no formats are converted. Each file is stored exactly as the agency published it, alongside the date it was retrieved and a SHA-256 checksum, so that any copy can be verified against any other copy. This is not affiliated with, endorsed by, or connected to NOAA, the CDC, the EPA, or any other agency or organisation. Two…
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.