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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.

2,760Models
859Datasets
254Papers
1,692Publishers
5,040Sourced relationships

Updated 2026-09-18 · How the library is built

859 datasets, sorted by most downloaded.

Independent, daily-updated trust & safety data for the x402 agent-payment economy (HTTP 402 + stablecoins on Base) and the MCP server ecosystem — by PulseFeed. AI agents increasingly pay for APIs autonomously over x402 and connect to MCP servers that can run code on install. But 20% of listed x402 endpoints are dead or invalid, and "live" is not the same claim as "payable": of 24131 endpoints that return a valid 402, only 22426 across 1904 operators are things an agent can actually buy — the rest are documentation placeholders, testnet sandboxes priced in dollars, or payment schemes outside the x402 spec. Both figures are in ecosystem.json as healthyEndpoints and payableEndpoints; compare…

Publicly accessible cc-by-4.0 n<1K

Dataset · Time series forecasting

polymarket-l2-research

Kishan Vavdara

Private, append-only research data collected by hourlycryptoquant. - futurewindowl21s: contracts, snapshots - polymarketl21s: contracts, featuresnapshots - polymarketl25s: contracts, featuresnapshots - polymarketrtds: priceticks, structuralsnapshots - externalvenuel21s: venueseconds Rows are exported from SQLite as immutable Parquet shards. The repository is updated approximately every four hours. Paths are partitioned by source, table, and UTC date. rowid is the source-database row identifier used for incremental checkpointing. This dataset intentionally excludes environment files, credentials, wallet and account information, live orders, live executions, paper portfolios, logs, and…

Access requested at publisher other

Dataset · Time series forecasting

ast-spacemobile-fleet-data

Julien Simon

Part of a dataset collection on Hugging Face. Daily health snapshots of the AST SpaceMobile BlueBird direct-to-cell satellite constellation, derived from CelesTrak GP (General Perturbations) data. Tracks the BlueWalker 3 prototype and all production BlueBird satellites as the constellation is built out. AST SpaceMobile is developing a unique LEO constellation designed to provide broadband connectivity directly to ordinary unmodified smartphones, without special satellite-phone hardware. The BlueBird satellites use unusually large phased-array antennas (up to 700 m2) to close the link budget with handset-sized antennas on the ground. The BlueWalker 3 prototype launched in 2022, the first…

Publicly accessible other n<1K

One row per player, game, team, and statistic group. Regular-season games at AA, High-A, and Single-A, subject to configured coverage. Source: MLB Stats API. Data is extracted from box-score stats, never seasonStats. Missing statistics are null. pitchingIPstr uses baseball notation; use pitchingouts for arithmetic. Files are grouped by season, historical league ID, and team ID. catalog.json maps IDs to names and table paths. The train split is a loading convention; no training/test split has been applied. state/index.json records season completion; partially backfilled seasons can be visible. state/SEASON.json records the games successfully stored. Current-season games are refreshed…

Publicly accessible

MLEBench Goal and Flame Chase 6h Campaign Backup Private operational backup of the 2026-09-03 FlowBench-isolated MLEBench campaigns. It preserves the historical Goal and Flame Chase evidence and the fresh 75-task Kimi K3 run, 75 GLM-5.3 Goal cells, and 75 fixed-time GPT-5.6 Sol/Kimi K3 Flame Chase cells. Historical Kimi records do not count toward the fresh continuation result. At this snapshot, the

Publicly accessible other

Model Collections

Hand-picked starting points, each with the reason it exists.

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.

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.