Karesis/Gomoku
Datacard: Gomoku (Five in a Row) AI Dataset Dataset Description Dataset Summary The Gomoku (Five in a Row) AI Dataset contains board states and moves from 875 self-played Gomoku games, totaling 26,378 training examples. The data was generated using WinePy, a Python implementation of the Wine Gomoku AI engine. Each example consists of a board state and the corresponding optimal next move as determined by an alpha-beta search algorithm with pattern… See the full description on the dataset page: https://huggingface.co/datasets/Karesis/Gomoku.
| Author / organization | Karesis |
|---|---|
| License (as declared) | mit |
| Downloads | 180 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 March 2025 |
| Last updated at source | 13 March 2025 |
Popularity, last 2 days
180 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Datacard: Gomoku (Five in a Row) AI Dataset Dataset Description Dataset Summary The Gomoku (Five in a Row) AI Dataset contains board states and moves from 875 self-played Gomoku games, totaling 26,378 training examples. The data was generat → Datacard: Gomoku (Five in a Row) AI Dataset Dataset Description Dataset Summary The Gomoku (Five in a Row) AI Dataset contains board states and moves from 875 self-played Gomoku games, totaling 26,378 training examples. The data was generat
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.