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Update README.md

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@@ -57,14 +57,16 @@ A list of all audio files and transcriptions are [**here**](https://huggingface.
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  * V2 - The version contains **23,422** audio-text pairs from three different visual novels. Cleaning has been done to remove most nsfw lines, especially noises that aren't words. The audio is now in mp3 format, rather than wav. This version contains **32.6** hours of audio.
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- * **V3** - The dataset now contains **38,325** audio-text pairs from five different visual novels. Very thorough cleaning has been done to remove almost all nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」), and transcriptions have been made much more consistent (for example, using the same type of quotation mark). This version contains **52.5 hours** of audio.
 
 
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  # Dataset information
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- * **38,325** audio-text pairs
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- * **52.5 hours** of audio (OpenAI suggests a minimum of [5 hours](https://huggingface.co/blog/fine-tune-whisper) for productive [Whisper](https://huggingface.co/openai/whisper-large-v2) fine-tuning).
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- * **4.9s** average audio length.
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- * **All** transcriptions have been scraped directly from the game files of visual novels.
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  # To do
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@@ -72,9 +74,11 @@ A list of all audio files and transcriptions are [**here**](https://huggingface.
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  * [X] Create a dataset of over 20k items
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  * [X] Compress the audio with minimal quality loss
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  * [X] Create a dataset of over 30k items
 
 
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  * [ ] Create more workflows for scraping audio from visual novels that use an engine other than Artemis
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- * [ ] Add audio from more visual novels
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  * [ ] Convert names in transcriptions to katakana?
 
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  # Use & Credit
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  * V2 - The version contains **23,422** audio-text pairs from three different visual novels. Cleaning has been done to remove most nsfw lines, especially noises that aren't words. The audio is now in mp3 format, rather than wav. This version contains **32.6** hours of audio.
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+ * V3 - The dataset now contains **38,325** audio-text pairs from five different visual novels. Thorough cleaning has been done to remove almost all nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」), and transcriptions have been made much more consistent (for example, using the same type of quotation mark). This version contains **52.5 hours** of audio.
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+
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+ * **V4** - The dataset now contains **47,844** audio-text pairs from six different visual novels. Thorough cleaning has been done to remove almost all nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」). This version contains **63.4 hours** of audio.
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  # Dataset information
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+ * **47,844** audio-text pairs
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+ * **63.4 hours** of audio (OpenAI suggests a minimum of [5 hours](https://huggingface.co/blog/fine-tune-whisper) for productive [Whisper](https://huggingface.co/openai/whisper-large-v2) fine-tuning).
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+ * **4.8s** average audio length.
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+ * Transcriptions have been scraped directly from the game files of **visual novels**.
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  # To do
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  * [X] Create a dataset of over 20k items
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  * [X] Compress the audio with minimal quality loss
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  * [X] Create a dataset of over 30k items
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+ * [X] Create a dataset of over 40k items
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+ * [] Create a dataset of over 50k items
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  * [ ] Create more workflows for scraping audio from visual novels that use an engine other than Artemis
 
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  * [ ] Convert names in transcriptions to katakana?
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+ * [ ] Scrape audio and transcriptions from YouTube
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  # Use & Credit
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