The Dataset Viewer has been disabled on this dataset.

Warning: BETA VERSION. NOT FOR PRODUCTION USE

AGSC: Action Gameplay Social Communication Corpus

Dataset Description

The Action Gameplay Social Communication (AGSC) corpus is a collection of spontaneous voice chat recordings from multi-party online gameplay sessions.
It focuses on naturally occurring screams and shouts, providing resources for the study of non-verbal expressions in social contexts.

  • Size: ~7.8 GB of audio
  • Modality: Audio
  • Language: Japanese
  • Annotations: Includes Praat TextGrid files, providing utterance-level segments and transcriptions, as well as expression-level annotations of affect bursts including screams, shouts, laughs, and expressive interjections.

Usage

You can load the dataset using the datasets library:

from datasets import load_dataset

dataset = load_dataset("hirokisince1998/AGSC")

The dataset contains the following components:

  • Audio files
  • Praat TextGrid files

Dataset Structure

README.md            # Corpus documentation
sessions.csv         # Metadata for sessions and parts
speakers.csv         # Metadata for speakers
Sessions/
  G001/
    G001_1_L.wav        # Audio (left channel)
    G001_1_L.TextGrid   # Annotation (left channel)
    G001_1_R.wav        # Audio (right channel)
    G001_1_R.TextGrid   # Annotation (right channel)
    G001_2_L.wav
    G001_2_L.TextGrid
    G001_2_R.wav
    G001_2_R.TextGrid
    ...
  G003/
  G004/
  G005/
  G006/
  G007/
  G008/
  G009/
  G010/
  G011/
  G012/
  G013/
  • sessions.csv: Contains information about each session and part.
  • speakers.csv: Contains information about speakers for each session, part, and channel.

Naming Convention

Files under each session directory follow the naming scheme:

<session_id>_<part>_<channel>.{wav, TextGrid}
  • <session_id>: Session identifier (e.g., G001)
  • <part>: Part number within the session
  • <channel>: Channel ID (L = left, R = right)
  • Extension: .wav for audio files, .TextGrid for annotations

Citation

If you use this dataset, please cite:

@Article{Mori2025,
  author    = {Mori, Hiroki and Kikuchi, Yuki and Okubo, Minato and Matsuda, Takuto and Shiratori, Keita and Arimoto, Yoshiko},
  title     = {Social Screams and Shouts in Action Gameplay Voice Chat: Annotation and Evaluation},
  journal   = {Language Resources and Evaluation},
  year      = {2025},
  publisher = {Springer Nature},
  note      = {Under review},
}

License

  • License: CC BY-NC 4.0
  • Non-commercial use only.
  • For commercial licensing inquiries, please contact the dataset maintainers.

Contributing

For bug reports, feature requests, or suggestions regarding annotations,
please use the GitHub repository:

https://github.com/hirokisince1998/AGSC

  • Issues: For reporting problems or proposing new features/specifications.
  • Pull Requests: For submitting corrections or improvements to annotations.
Downloads last month
13