Update README.md

README.md

@@ -1,12 +1,4 @@
 ---
-language:
-- ja
-license: cc0-1.0
-size_categories:
-- 10K<n<100K
-task_categories:
-- automatic-speech-recognition
-pretty_name: Japanese-Anime-Speech
 dataset_info:
   features:
   - name: audio
@@ -15,15 +7,19 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 3981327871.675
-    num_examples: 38325
-  download_size: 1417935311
-  dataset_size: 3981327871.675
+    num_bytes: 6338735137.714
+    num_examples: 16143
+  download_size: 6016375356
+  dataset_size: 6338735137.714
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- automatic-speech-recognition
+language:
+- ja
 tags:
 - anime
 - japanese
@@ -33,6 +29,10 @@ tags:
 - audio-text
 - asr
 - whisper
+pretty_name: Japanese-Anime-Speech
+size_categories:
+- 10K<n<100K
+license: cc0-1.0
 ---
 # Japanese Anime Speech Dataset
 
@@ -40,29 +40,23 @@ tags:
 
 The goal of this dataset is to enhance the proficiency of automatic speech recognition systems, such as OpenAI's [Whisper](https://huggingface.co/openai/whisper-large-v2), in accurately transcribing dialogue from anime and other similar Japanese media. This genre is characterized by unique linguistic features and speech patterns that diverge from conventional Japanese speech.
 
-The code used for scraping the audio will be available once I feel it is reliable enough and easy-to-use.
-
 # Changelog
 
 * V1 - This version contains **16,143** audio-text pairs from the visual novel `IxSHE Tell`. Some cleaning of the transcriptions has been done to get rid of unwanted characters at the start and end of lines, but I intend to do much more for the second version.
 
-* **V2** - The dataset now contains **23,422** audio-text pairs from three different visual novels. Lots of cleaning has been done to remove nsfw lines, especially noises that aren't words.
-
-# Dataset information
+* 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.
 
-* The dataset contains **32.57** hours of labeled audio (OpenAI suggests a minimum of 5 hours for productive [Whisper](https://huggingface.co/openai/whisper-large-v2) fine-tuning).
-* The average audio length is 5.0s.
-
-### The dataset is comprised of:
-* **23,422** audio-text pairs
-* **12,782** lines from **IxSHE Tell** (3,739/16,521 were filtered out)
-* **8,102** lines from **ユキイロサイン** (1,842/9,944 were filtered out)
-* **2,538** lines from **幼馴染のいる暮らし** (26/2564 were filtered out)
+* **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.
 
+# Dataset information
 
+* **38,325** audio-text pairs
+* **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).
+* **4.9s** average audio length.
+* **All** transcriptions have been scraped directly from the game files of visual novels.
 
 <div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
-  <p><b>NSFW 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. </p>
+  <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>
 
 # To do
@@ -70,7 +64,7 @@ The code used for scraping the audio will be available once I feel it is reliabl
 * [X] Create a dataset of over 10k items
 * [X] Create a dataset of over 20k items
 * [X] Compress the audio with minimal quality loss
-* [ ] Create a dataset of over 30k items
+* [X] Create a dataset of over 30k items
 * [ ] Create more workflows for scraping audio from visual novels that use an engine other than Artemis
 * [ ] Add audio from more visual novels
 * [ ] Convert names in transcriptions to katakana?