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README.md
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termination: "Normal"
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---
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# Dataset Card for
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termination: "Normal"
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---
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# Dataset Card for Lichess.org Database in UCI format
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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<!--
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- **Homepage:** [Lichess.org Database](https://database.lichess.org/)
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- **Repository:** [GitHub Repository](https://github.com/lichess-org/database)
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- **Paper:** N/A
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- **Leaderboard:** N/A
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- **Point of Contact:** [Contact Lichess](https://lichess.org/contact) -->
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### Dataset Summary
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The Lichess.org database has been converted to UCI format, making it easier to analyze and interpret chess games.
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The `moves` configuration captures the sequence of moves using UCI notation, and the `headers` configuration provides
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comprehensive metadata for each game, enabling detailed statistical and strategic analysis. The data is subset based on
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the year and month (yyyymm format) the games took place.
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### Supported Tasks and Leaderboards
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This dataset supports tasks related to chess game analysis, including move prediction, game outcome prediction, performance
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analysis, and opening strategy evaluation. There are no formal leaderboards associated with this dataset.
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## Dataset Structure
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### Data Instances
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An example from the `moves` configuration:
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```json
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{
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"site": "abcd1234",
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"transcript": "e2e4 e7e5 g1f3 b8c6"
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}
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```
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An example from the `headers` configuration:
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```json
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{
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"event": "Rated Blitz game",
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"site": "abcd1234",
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"white": "player1",
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"black": "player2",
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"result": "1-0",
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"utcdate": "2023-05-21",
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"utctime": "13:45:00",
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"whiteelo": 1500,
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"blackelo": 1400,
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"whiteratingdiff": 10,
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"blackratingdiff": -10,
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"eco": "C50",
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"opening": "Italian Game",
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"timecontrol": "300+0",
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"termination": "Normal"
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}
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```
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### Data Fields
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#### Moves Configuration:
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- `site`: string, unique identifier for the game. Replays can be viewed by navigating to `https://lichess.org/<site>`
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- `transcript`: string, sequence of moves in UCI format.
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#### Headers Configuration:
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- `event`: string, type of event.
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- `site`: string, unique identifier for the game.
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- `white`: string, white player.
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- `black`: string, black player.
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- `result`: string, game result.
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- `utcdate`: date32, date of the game.
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- `utctime`: time64[us], time of the game.
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- `whiteelo`: int64, ELO rating of the white player.
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- `blackelo`: int64, ELO rating of the black player.
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- `whiteratingdiff`: float64, rating change for the white player.
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- `blackratingdiff`: float64, rating change for the black player.
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- `eco`: string, ECO code of the opening.
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- `opening`: string, name of the opening.
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- `timecontrol`: string, time control format.
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- `termination`: string, reason for game termination.
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### Data Splits
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The dataset is divided into monthly splits based on the year and month (yyyymm format). Each split contains both `moves` and `headers` configurations.
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## Dataset Creation
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### Curation Rationale
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The dataset was curated to facilitate research and analysis that use chess games, providing both move sequences and comprehensive metadata.
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### Source Data
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#### Initial Data Collection and Normalization
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The data was collected from the Lichess.org open database, converted from PGN format to UCI format, and organized into `moves` and `headers` configurations.
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#### Who are the source data producers?
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The source data comes from games played on Lichess.org, an online platform where users from around the world play chess.
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This database does not distinguish between human-and bot-played games.
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However, it's reasonable to assume games played before April 2018 were overwhelmingly played by human players since Lichess.org
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released its [bot api](https://github.com/lichess-org/api) on April 1st, 2018.
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### Annotations
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#### Annotation process
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The annotations include metadata such as player ELO ratings, game outcomes, and dates, which were extracted from the original
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PGN files and normalized into a structured format.
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#### Who are the annotators?
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The annotations were generated by the Lichess.org platform and curated by the dataset creators.
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### Personal and Sensitive Information
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The dataset does not contain any personal or sensitive information.
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## Considerations for Using the Data
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### Social Impact of Dataset
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The dataset can be used to improve chess engines, develop training tools for players, and conduct research in game theory and artificial intelligence.
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### Discussion of Biases
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The dataset may have biases related to the demographics of Lichess.org users, such as skill level distribution and regional representation.
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### Other Known Limitations
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The dataset is limited to games played on Lichess.org and may not represent the broader chess-playing population.
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## Additional Information
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### Dataset Curators
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The dataset was curated by the Lichess.org team and contributors.
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### Licensing Information
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The dataset is available under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
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### Citation Information
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If you use this dataset, please cite it as follows:
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```
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@misc{lichess_uci,
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author = {Davis, Austin L.},
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title = {Lichess.org Database in UCI format},
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year = {2023},
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howpublished = {\url{https://database.lichess.org/}},
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}
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```
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### Contributions
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Thanks to [@github-username](https://github.com/austinleedavis) for adding this dataset.
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