Datasets:

simon3000
/

zenless-voice

task_categories:
  - audio-classification
  - automatic-speech-recognition
  - text-to-speech
language:
  - zh
  - en
  - ja
  - ko
pretty_name: Zenless Voice
tags:
  - audio
  - zenless-zone-zero
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: ingame_filename
      dtype: string
    - name: transcription
      dtype: string
    - name: language
      dtype: string
    - name: speaker
      dtype: string
    - name: voice_type
      dtype: string
  splits:
    - name: train
      num_bytes: 124027846183
      num_examples: 360691
  download_size: 172622133922
  dataset_size: 124027846183

Zenless Voice

Zenless Voice is a dataset of voice lines from the popular game Zenless Zone Zero.

Hugging Face 🤗 Zenless-Voice

ModelScope Zenless-Voice

Last update at 2026-07-16, game version 3.0.0

360691 wavs

83759 without speaker (23%)

113302 without transcription (31%)

7020 without inGameFilename (2%)

Dataset Details

Dataset Description

The dataset contains voice lines from the game's characters in multiple languages, including Chinese, English, Japanese, and Korean.

The voice lines are spoken by the characters in the game and cover a wide range of topics, including greetings, combat, and story dialogue.

Language(s) (NLP): Chinese, English, Japanese, Korean

Dataset Creation

Source Data

The data was obtained by unpacking the Zenless Zone Zero game.

Data Collection and Processing

Please refer to Zenless-Voice for more information on how the data was processed.

Who are the source data producers?

The source data producers are the developers of the game, HoYoverse.

Annotations

The dataset contains official annotations from the game, including language, speaker name, and transcription.

Bias, Risks, and Limitations

Annotations are incomplete. Some voice lines are missing speaker names and transcriptions.

Annotations are not guaranteed to be completely accurate.

Speakers and transcriptions may contain markups and placeholders, for example: (My brother and I still have <color=#FFAF2C>something we need to do</color>, and to achieve that goal, we need to venture deep into the Hollows.)

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset.

Licensing Information

Acknowledgements

Special thanks to Escartem for AnimeWwise and its nap.map data, which helped research and validate Zenless Zone Zero's Wwise source-path naming and filename-hash rules.