metadata

dataset_info:
  features:
    - name: white_id
      dtype: string
    - name: black_id
      dtype: string
    - name: winner
      dtype: string
    - name: white_rating
      dtype: int64
    - name: black_rating
      dtype: int64
    - name: opening_code
      dtype: string
    - name: opening_fullname
      dtype: string
    - name: victory_status
      dtype: string
    - name: moves
      dtype: string
    - name: turns
      dtype: int64
  splits:
    - name: train
      num_bytes: 10439182
      num_examples: 20000
  download_size: 5487737
  dataset_size: 10439182
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - en
size_categories:
  - 10K<n<100K

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

Curated by: [Gabriel Blanco and Manuel Medina]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [English]
License: [More Information Needed]

Dataset Sources [optional]

Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]

Uses

El dataset se puede usar para analizar datos de partidas de ajedrez

Direct Use

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Out-of-Scope Use

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Dataset Structure

Estas son las descripciones de las columnas White_id: Nombre del jugador con las fichas blancas. Black_id: Nombre del jugador con las fichas negras. Winner: Quien ganó (White para el blanco, Black para el negro y draw su hubo un empate). White_rating: ELO del jugador blanco. Black_rating: ELO del jugador negro. Opening_code: Código de la jugada de apertura. Opening_fullname: Nombre de la jugada de apertura. Victory_status: La forma de la que se ganó la partida (por ejemplo jaque mate). Moves: Los movimientos de la partida. Turns: El total de turnos que duró la partida

Dataset Creation

Curation Rationale

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Source Data

Los datos han sido sacados de estos dos darasets https://www.kaggle.com/datasets/arevel/chess-games https://www.kaggle.com/datasets/mysarahmadbhat/online-chess-games

Data Collection and Processing

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Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

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