MoveMentor: Dataset of Chess Positions Paired with Textual Explanations

MoveMentor: Dataset of Chess Positions Paired with Textual Explanations Authors: Brandon Panos, Michael Graber, Can-Elian Barth, Melanie Völlmin FHNW University of Applied Sciences and Arts, Institute of Data Science, Windisch Project: Hasler Stiftung small project grant, Project ID: 2025-05-05-522 Description: Data for training a LLM with Leela Chess Zero embeddings to explain Chesspositions. Collected and build by FHNW Institute for Data Science Windisch. The chess positions and comments are scraped from Gameknot (https://gameknot.com/) and Wikibooks (https://en.wikibooks.org/wiki/Chess_Opening_Theory). File structure: chesscomments_movementor_merged.jsonl: san_seq: Complete SAN move sequence from the starting chess position to the position described in the comment. comment: Comment which describes the position annotator_elo: Elo of the Gameknot user which annotated this position (Datapoints from Wikibooks have no annotator_elo values) star_rating: Gameknot rating system for ranking users based on the quality of their contributions. (Datapoints from Wikibooks have no star_rating values) You can find the code for training LLMs with this data and generation of more richer chess datasets here: https://github.com/can020202/movementor