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README.md
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# Dataset Card for the Lichess Rated Standard Chess Games Dataset
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<!-- Provide a quick summary of the dataset. -->
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## Dataset Description
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**6,111,210,071** standard rated games, played on lichess.org
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### Dataset Creation
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Using DuckDB:
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## Dataset Details
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### Dataset Sample
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- **`Event`**: `string`,
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- **`Site`**: `string`,
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# Dataset Card for the Lichess Rated Standard Chess Games Dataset
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## Dataset Description
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**6,111,210,071** standard rated games, played on [lichess.org], updated monthly from the [database dumps](https://database.lichess.org/#standard_games).
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This version of the data is meant for data analysis. If you need PGN files you can find those [here](https://database.lichess.org/#standard_games). That said, once you have a subset of interest, it is trivial to convert it back to PGN as shown in the Dataset Usage section.
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This dataset is hive-partitioned into multiple parquet files on two keys: `year` and `month`:
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```bash
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.
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βββ data
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βΒ Β βββ year=2015
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βΒ Β βββ month=01
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βΒ Β βΒ Β βββ train-00000-of-00003.parquet
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βΒ Β βΒ Β βββ train-00001-of-00003.parquet
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βΒ Β βΒ Β βββ train-00002-of-00003.parquet
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βΒ Β βββ month=02
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βΒ Β βΒ Β βββ train-00000-of-00003.parquet
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βΒ Β βΒ Β βββ train-00001-of-00003.parquet
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βΒ Β βΒ Β βββ train-00002-of-00003.parquet
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βΒ Β βββ month=03
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βΒ Β βΒ Β βββ train-00000-of-00003.parquet
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βΒ Β βΒ Β βββ train-00001-of-00003.parquet
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βΒ Β βΒ Β βββ train-00002-of-00003.parquet
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βΒ Β βββ ...
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```
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### Dataset Creation
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Using DuckDB:
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Using `python-chess`:
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## Dataset Details
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### Dataset Sample
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- **`Event`**: `string`,
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- **`Site`**: `string`,
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### Notes
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- About 6% of the games include Stockfish analysis evaluations: [%eval 2.35] (235 centipawn advantage), [%eval #-4] (getting mated in 4), always from White's point of view.
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- The WhiteElo and BlackElo tags contain Glicko2 ratings.
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- Games contain clock information as PGN %clk comments since April 2017.
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