Team Ai
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bart

Barthel /variouscryptodata variouscryptodata Crypto market datasets collected as a by-product of our own research and published so they are not lost. One sub-folder per dataset; each appended nightly where collection is still running. folder what coverage cadence polymarket_updown_orderbook/ Polymarket Up/Down (5m/15m) order books, 10 levels, BTC/ETH/SOL/XRP/DOGE/HYPE/BNB, with Binance spot reference 2026-05-24 → present appended nightly (previous UTC day) hyperliquid_trades/ Hyperliquid perp… See the full description on the dataset page: https://huggingface.co/datasets/Barthel/variouscryptodata.tabular1B<n<10B0 likes2.1k downloads52m agoHugging Facejbduran /bartholomew-dataset-v3 BART Dataset v3 The final version of the BART pretraining corpus, focused on removing anything that betrays a post-1930 origin. This is our best vintage dataset yet. Documents 146,031 (97.52% of v2) Characters 102,798,688,961 (96.73% of v2) Tokens ~23B (estimated) Shards 473 (one per v2 shard, same basename) Source BART Dataset v2 Cutoff 1930 Schema single string column text Lineage — three cumulative filtering stages over the same corpus:… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/bartholomew-dataset-v3.100K<n<1M1 likes2.1k downloads2mo agoHugging Facebartduis /rayst3rtext1M<n<10M0 likes1k downloads10mo agoHugging Facebartn8 /EventHubDatasetimage1 likes1k downloads4mo agoHugging Facejbduran /bartholomew-dataset-v2 BART Dataset v2 The second version of the BART pretraining corpus, focused on stripping low-quality text — boilerplate and OCR corruption — out of v1. Documents 149,745 (93.44% of v1) Characters 106,274,384,672 (89.50% of v1) Tokens ~24B (estimated) Shards 473 (one per v1 shard, same basename) Source BART Dataset v1 Schema single string column text Lineage — three cumulative filtering stages over the same corpus: Institutional Books 1.0 → v1 → v2 → v3… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/bartholomew-dataset-v2.100K<n<1M0 likes939 downloads2mo agoHugging Facebarthazian /vcc2026-broad-development-20260908 VCC 2026 broad development artifacts The B7 RunPod science-output recovery is complete: 256 files, 5,106,104,214 bytes. Contents Files Checkpoints 64 Fit receipts 64 Prediction arrays 64 Prediction receipts 64 Use archive-index.json for current locations, SHA-256 values, sizes, and immutable per-file revisions. STATUS.md records completed work and remaining scientific comparisons. The recovery receipt proves all 109 files missing from the previous archive… See the full description on the dataset page: https://huggingface.co/datasets/barthazian/vcc2026-broad-development-20260908.0 likes880 downloads26d agoHugging Face