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 2026-10-18 · How the library is built
3,164 datasets, sorted by most downloaded.
prettyname: "Carfax Used Car Listings & Dealer Inventory Dataset" - open-data - data-science - web-scraping - scraper - crawler - data-collection - used-cars - automotive - car-listings - carfax - vehicle-data - dealer-inventory - car-pricing sizecategories: taskcategories: - other - configname: car-listings datafiles: A sample of Carfax marketplace listings with vehicle specs, mileage, dealer ratings, history verification, reliability badges, and One Price value estimates. This dataset is a preview sample of the Carfax 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…
本目录是 2026-09-01 正式释文 OCR 的本地交付根目录。 1. 百度 PaddleOCR-VL-1.5 保守首识； 2. Qwen3-VL-4B-Instruct 对照页图和百度结果复核； 3. GPT-5.6 只处理分歧、低置信和版式异常页，不对已一致页做语言润色。 字段分离保存：paddleraw、qwenreview、gptreview、acceptedtext、reviewstatus、sourcesha256。古字图版、无码字和无法解释的分歧必须进入 quarantine，不得静默改成通顺文字。 资产详情、页数、SHA-256 与模型 revision 见 HFASSETMANIFEST20260901.json。
Welcome to the Vinkius Open Data Initiative. We are opening access to the Vinkius connector catalog. This repository provides automatically updated documentation for 10,672 unique connectors for AI agents. This highly structured corpus is designed specifically for AI researchers, data scientists, and language model developers. It provides a robust foundation for advancing artificial intelligence research in the following domains: Extracted programmatically from the Vinkius registry, each record maintains strict structural integrity. The dataset is rigorously indexed with categorical taxonomies, precise tool support configurations, and environmental metadata to ensure a noise-free corpus.…
門羅幣 (Monero, XMR)： 8AEyT2biCC7S5impodPReHdRrUipEnj3GLFRZStyeUHiWWzq9q8emkpibJiPRxScXranJqKrinEere938k9pWkVcFWYTDzG 比特幣 (Bitcoin, BTC)： bc1qr0h3h9dlhzdu067psskwfsa8c0mfzaryv5626g
Local (municipal / county / water-board / regional) law worldwide, normalized to one schema. Companion to which stays unchanged. Since 2026-10-11, national, subnational (first-level: state / Land / province / région) and supranational law, i.e. every iso: place (isoFR, isoES-CT, isoEU, …), is published in endomorphosis/worldnationallaw, which uses the same schema and layout. This repo keeps municipal and other local law (municipalities, counties, water boards, …). The iso files were copied there first, verified (sha256 and row counts), and then deleted here in a separate commit; the repo history still has them. - worldlaw/data/{CC}/{placekey}html.parquet: one file per jurisdiction (ZSTD)…
Ani4D dataset (TBZ + Objaverse + Objaverse-XL, curated 2026-10-04; 16 cameras per clip since 2026-10-04) The curated articulated-character dataset behind Ani4D (PoseAE codec + VoxelFM), plus the 50-asset Ani4D-vs-ActionMesh benchmark under benchmark/. 9,975 kept assets: train 9,791 (TBZ 57 / Objaverse 1,935 / Objaverse-XL 7,799), val 134 (10 / 56 / 68), test = benchmark 50 (8 / 20 / 22); the split is poseaesplit.json at the root and bench50.txt lists the benchmark. Every kept
Adapted from the paper: task taxonomy on the left; streaming caption and QA construction pipelines on the right. Task coverage A training dataset for perception, memory, and proactive response in streaming video interaction, introduced in OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction. The curated collections include Streamo, JoyAI-VL-Interaction (JoyVL), MMDuet2, ViSpeak, StreamForest, VideoChat-OL, Seeker, and VST, alongside OneStreamer-Core. The appendix groups upstream sources by collection and task; a source list in the table describes that group rather than assigning every record to all listed sources. Proactive Caption Memory Proactive…
A land-use / land-cover relevance label for every sentence of NoeFlandre/osm-polygon-wikidata-and-wikipedia (revision d6fc058). The input is mirrored here unchanged; labels and model outputs are separate tables that join back to it. In progress: 100 of 761 input files fully labelled, 661 more partially, 74,791,929 rows, 165 unique texts have their full model outputs published so far (outputs ship with the first complete file that contains the text; labels for the other sentences are in labels/). 928,088 rows (1.2% of all rows) have no Each hexagon is an H3 cell (resolution 3) holding the yes/no sentences whose document's first linked polygon (smallest polygonid with lat/lon) falls in it.…
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.