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Update README.md

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@@ -98,6 +98,7 @@ I modified the original dataset in the following ways:
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  ### Direct Use
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  - Fine-tuning ASR models like Whisper for the Japanese anime-like speech domain
 
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  - Training ASR models for the NSFW domain (aegi and chupa voices), which Whisper and other ASR models mostly cannot recognize
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  ### Out-of-Scope Use
@@ -117,7 +118,7 @@ I modified the original dataset in the following ways:
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  ...
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  ```
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- - Except for the last tar file, each tar file contains 32768 audio-text pairs (OGG and TXT files), hence 65536 files in total.
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  - File names are randomly generated SHA-256 hashes, so the order of the files has no mean (e.g., the files coming from the same Galgame are not necessarily adjacent).
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  ### Direct Use
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  - Fine-tuning ASR models like Whisper for the Japanese anime-like speech domain
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+ - Benchmarking Japanese ASR models
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  - Training ASR models for the NSFW domain (aegi and chupa voices), which Whisper and other ASR models mostly cannot recognize
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  ### Out-of-Scope Use
 
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  ...
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  ```
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+ - Except for the last tar file, each tar file contains about 32768 audio-text pairs (OGG and TXT files), hence about 65536 files in total (the number may be smaller than 32768 since I removed some files after the initial upload).
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  - File names are randomly generated SHA-256 hashes, so the order of the files has no mean (e.g., the files coming from the same Galgame are not necessarily adjacent).
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