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metadata
dataset_info:
  features:
    - name: streamer_id
      dtype: string
    - name: document_id
      dtype: int32
    - name: messages
      sequence: string
    - name: users
      sequence: string
    - name: timestamps
      sequence: float32
    - name: metadata
      struct:
        - name: user_view_count
          dtype: int32
        - name: user_broadcaster_type
          dtype: string
        - name: stream_game_id
          dtype: string
        - name: stream_type
          dtype: string
        - name: stream_viewer_count
          dtype: int32
        - name: stream_start_date
          dtype: string
        - name: stream_language
          dtype: string
  splits:
    - name: train
      num_bytes: 1197483835
      num_examples: 1951
  download_size: 510826866
  dataset_size: 1197483835
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0

๐Ÿ“Š Dataset | ๐Ÿ“„ Paper

TwitchChat Dataset

NOTICE - Dataset originally published by Charlie Ringer, Mihalis A. Nicolaou, and James Alfred Walker on 2020-10-01, licensed under CC BY 4.0. This version is a non-modified port for distribution via Hugging Face Datasets. Original work available at http://dx.doi.org/10.1609/aiide.v16i1.7439. This paper was published in Vol. 16 No. 1 (2020): Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

The following information has been added from independent testing without the original authors. Inaccuracies may be present.

This dataset contains:

  • A total of 666 unique streamers
  • Approximately 14.7 million chat messages, which is approximately 162 million GPT-2 tokens.

The following information is recorded:

  • Streamer IDs
  • Document IDs
  • Messages
  • User IDs
  • Timestamps
  • Metadata

This dataset was ported to make it more accessible. No changes, moderation or filtering has taken place. The author on HuggingFace is not affiliated in any way with the original authors or original work. This dataset, and the accompanying paper were released under CC-By Attribution 4.0 International.

@article{
  Ringer_Nicolaou_Walker_2020,
  title={TwitchChat: A Dataset for Exploring Livestream Chat},
  volume={16},
  url={https://ojs.aaai.org/index.php/AIIDE/article/view/7439},
  DOI={10.1609/aiide.v16i1.7439},
  journal={Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment},
  author={Ringer, Charles and Nicolaou, Mihalis and Walker, James},
  year={2020},
  month={Oct.},
  pages={259-265}
}