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README.md
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---
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task_categories:
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- audio-classification
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- automatic-speech-recognition
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- text-to-speech
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language:
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- zh
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- en
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- ja
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- ko
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pretty_name: Zenless Voice
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tags:
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- audio
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- zenless-zone-zero
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---
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# Zenless Voice
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Zenless Voice is a dataset of voice lines from the popular game [Zenless Zone Zero](https://zenless.hoyoverse.com/).
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Hugging Face 🤗 [Zenless-Voice](https://huggingface.co/datasets/simon3000/zenless-voice)
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ModelScope [Zenless-Voice](https://modelscope.cn/datasets/simono/zenless-voice)
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<!-- STATS -->
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Last update at `2026-07-16`, game version `3.0.0`
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`360691` wavs
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`83759` without speaker (23%)
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`113302` without transcription (31%)
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`7020` without inGameFilename (2%)
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<!-- STATS_END -->
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## Dataset Details
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### Dataset Description
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The dataset contains voice lines from the game's characters in multiple languages, including Chinese, English, Japanese, and Korean.
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The voice lines are spoken by the characters in the game and cover a wide range of topics, including greetings, combat, and story dialogue.
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- **Language(s) (NLP):** Chinese, English, Japanese, Korean
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## Dataset Creation
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### Source Data
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The data was obtained by unpacking the [Zenless Zone Zero](https://zenless.hoyoverse.com/) game.
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#### Data Collection and Processing
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Please refer to [Zenless-Voice](https://github.com/simon300000/zenless-voice) for more information on how the data was processed.
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#### Who are the source data producers?
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The source data producers are the developers of the game, HoYoverse.
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### Annotations
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The dataset contains official annotations from the game, including language, speaker name, and transcription.
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## Bias, Risks, and Limitations
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Annotations are incomplete. Some voice lines are missing speaker names and transcriptions.
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Annotations are not guaranteed to be completely accurate.
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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.)`
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### Recommendations
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Users should be made aware of the risks, biases and limitations of the dataset.
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## Licensing Information
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Copyright © COGNOSPHERE. All Rights Reserved.
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## Acknowledgements
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Special thanks to Escartem for [**AnimeWwise**](https://github.com/Escartem/AnimeWwise) and its `nap.map` data, which helped research and validate Zenless Zone Zero's Wwise source-path naming and filename-hash rules.
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