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Duplicate from NandemoGHS/Japanese-Eroge-Voice

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Co-authored-by: OmniAICreator <OmniAICreator@users.noreply.huggingface.co>

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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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README.md ADDED
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-to-speech
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+ - automatic-speech-recognition
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+ language:
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+ - ja
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+ tags:
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+ - speech
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+ - audio
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+ - japanese
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+ - asmr
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+ - anime
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+ - voice
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+ pretty_name: Japanese-Eroge-Voice
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ # Japanese-Eroge-Voice
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+
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+ ## Description
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+
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+ This dataset contains pairs of audio data and corresponding transcriptions extracted from Japanese eroge (adult games) that I have personally purchased. The transcriptions are generated using the **[litagin/anime-whisper](https://huggingface.co/litagin/anime-whisper)** model.
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+
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+ -----
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+
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+ ## Preprocessing Steps
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+
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+ The raw audio data has undergone the following preprocessing steps:
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+
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+ 1. **Loudness Normalization**:
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+ Audio loudness is normalized using **ffmpeg's 2-pass `loudnorm` filter** to target parameters of **-23.0 LUFS integrated loudness, -1.0 dB true peak, and 11.0 LU loudness range (LRA)**.
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+
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+ 3. **Transcription**:
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+ Each clip is transcribed with **[litagin/anime-whisper](https://huggingface.co/litagin/anime-whisper)** model.
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+
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+ 4. **Data Shuffling, Anonymization, and WebDataset Conversion**:
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+ The processed data is shuffled, and unique identifiers (UIDs) are **hashed for anonymization**. The data is then packaged into **[WebDataset](https://github.com/webdataset/webdataset)** format. Due to the shuffling and anonymization, it is difficult to reconstruct the original works in their entirety, **aiming to limit the enjoyment of the original copyrighted works under Japanese copyright law.**
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+
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+ -----
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+
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+ ## Dataset Format
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+
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+ This dataset is provided in **WebDataset** format. Each `.tar` shard typically contains 1024 clips (the final shard may contain fewer). Every clip consists of three files sharing the same base filename:
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+
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+ ```
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+ 0a1be9a22ae956c9.flac (FLAC audio file)
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+ 0a1be9a22ae956c9.json (JSON metadata file)
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+ 0a1be9a22ae956c9.txt (Text transcription file)
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+ ...
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+ ```
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+
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+ -----
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+
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+ ## Dataset Statistics
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+
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+ - **Total duration:** 409.33 hours
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+
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+ -----
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+
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+ ## Biases and Limitations
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+
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+ * **NSFW Content**: This dataset is derived from adult games and contains a significant amount of Not-Safe-For-Work (NSFW) content.
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+ * **Gender Bias**: Due to the nature of the source material, the dataset is heavily skewed towards female voices.
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+ * **Potential Transcription Errors**: Transcriptions are generated automatically by an AI model and have not been manually verified. They are likely to contain errors and inaccuracies.
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+
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+ -----
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+
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+ ## License
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+
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+ This dataset is licensed under the **[MIT License](https://choosealicense.com/licenses/mit/)**.
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+
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+ **Intended use** — This dataset is primarily designed for **educational and academic research. All use is at your own risk, and you must ensure compliance with applicable law.**
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+
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+ **NO WARRANTY** – This dataset is provided “as is” without any express or implied warranty.
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+
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+ ## How to Cite
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+
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+ ```bibtex
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+ @misc{Japanese-Eroge-Voice,
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+ title = {Japanese-Eroge-Voice},
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+ author = {OmniAICreator},
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+ year = {2025},
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+ howpublished = {\url{https://huggingface.co/datasets/NandemoGHS/Japanese-Eroge-Voice}},
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+ }
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+ ```
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