Bibliographic record
Abstract
A collection of poker hand histories, covering 11 poker variants, in the poker hand history (PHH) format. To contribute, please create a pull request or an issue at the accompanying (condensed) GitHub repository. Contents: 341,172,750 heads-up/3-player fixed-limit and 278,842,225 heads-up no-limit hold'em hands (including duplicates) from the Annual Computer Poker Competition (only publicly available data was included; 3-player Kuhn poker data from 2014 and 2015 were excluded). 2009: 52,534,430 fixed-limit (27,766,865 + 11,700,000 heads-up, 13,067,565 3-player), 3,600,000 heads-up no-limit hold'em hands. 2010: 104,400,000 fixed-limit (87,000,000 heads-up, 17,400,000 3-player), 16,800,000 heads-up no-limit hold'em hands. 2011: 77,790,000 fixed-limit (55,470,000 heads-up, 22,320,000 3-player), 16,200,000 heads-up no-limit hold'em hands. 2012: 53,400,000 fixed-limit (50,400,000 heads-up, 3,000,000 3-player), 17,400,000 heads-up no-limit hold'em hands. 2013: 27,951,000 fixed-limit (26,091,000 heads-up, 1,860,000 3-player), 19,836,000 heads-up no-limit hold'em hands. 2014: 25,097,320 fixed-limit (19,337,320 heads-up, 5,760,000 3-player), 48,048,000 heads-up no-limit hold'em hands (24,024,000 unique, all duplicated with expected utility estimates). 2016: 65,458,631 heads-up no-limit hold'em hands (16,965,000 unique, all duplicated for partitioned archiving and with expected utility estimates). 2017: 91,499,594 heads-up no-limit hold'em hands (45,750,000 unique, almost all duplicated with expected utility estimates). 21,605,687 uncorrupted no-limit hold'em hands from anonymized hand history logs scraped from July 1st to July 23, 2009, uploaded by HandHQ, of varying stakes (from 25NL to 1000NL). Absolute Poker: 1,270,658. Full Tilt Poker: 1,299,503. iPoker Network: 5,996,345. Ongame Network: 1,647,765. PokerStars: 3,092,698. PartyPoker: 8,298,718. All 83 televised hands played in the final table of the 2023 World Series of Poker Event #43: $50,000 Poker Players Championship | Day 5 All 10,000 hands played by Pluribus, published in the supplementary of Brown and Sandholm (2019). 4 selections of historical poker hands. 1 badugi hand from the Wikipedia page on badugi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.072 | 0.099 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".