Update README.md

README.md

@@ -52,6 +52,13 @@ A list of all audio files and transcriptions are [**here**](https://huggingface.
   <p><b>Content Warning:</b> Please be advised that the majority of the audio in this dataset is sourced from visual novels and may include content that is not suitable for all audiences, such as suggestive sounds or mature topics. Efforts have been undertaken to minimise this content as much as possible. </p>
 </div>
 
+# Dataset information
+
+* **73,004** audio-text pairs
+* **110 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).
+* **5.4s** average audio length
+* Transcriptions have been scraped directly from the game files of **visual novels**
+* Lastest version: **V5 - March 22nd 2024**
 
 # Changelog
 
@@ -61,19 +68,11 @@ A list of all audio files and transcriptions are [**here**](https://huggingface.
 * V4 - The dataset 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. This version contains **63.4 hours** of audio.
 * **V5** - The dataset contains **73,004** audio-text pairs from eight different visual novels. Thorough cleaning has been done to remove almost all nsfw or low-quality audio files. This version contains **63.4 hours** of audio. 
 
-# Dataset information
-
-* Lastest version: **V5 - March 22nd 2024**
-* **73,004** audio-text pairs
-* **110 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).
-* **5.4s** average audio length
-* Transcriptions have been scraped directly from the game files of **visual novels**
-
 # Bias and Limitations
 This dataset, while valuable for training anime-style Japanese speech recognition, has some inherent biases and limitations. The audio is primarily sourced from visual novels, leading to a gender bias towards female voices and a domain-specific vocabulary revolving around topics such as love, relationships, and fantasy. Additionally, the professionally produced nature of the audio results in clear and slow speech, which may not fully reflect real-world speaking patterns.
 
 # Use & Credit
 
-This dataset is openly available for commercial or non-commercial use. Anyone is welcome to use this resource as they deem appropriate. However, the creator assumes no responsibility for the consequences of its use. While not mandatory, crediting this dataset with a hyperlink in any derivative work would be greatly appreciated.
+This dataset is openly available for commercial or non-commercial use. Anyone is welcome to use this dataset as they deem appropriate. However, the creator assumes no responsibility for the consequences of its use. While not mandatory, crediting this dataset with a hyperlink in any derivative work would be greatly appreciated.
 
 I hope that by sharing this dataset, we (the open-source community) improve automatic speech recognition for anime content.