Update README.md

README.md

@@ -24,25 +24,41 @@ We use [mesolitica/nanot5-base-malaysian-translation-v2.1](https://huggingface.c
 
 ## Dataset involved
 
+### [Malaysian context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/malaysian_context)
+
 1. [Malaysian context v1](https://huggingface.co/datasets/mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp)
-2. [Malaysian context v2](https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp)
-3. [Singaporean context](https://huggingface.co/datasets/mesolitica/pseudolabel-imda-large-v3-timestamp)
-4. [Indonesian context](https://huggingface.co/datasets/mesolitica/pseudolabel-indonesian-large-v3-timestamp)
-5. [Mandarin audio](https://huggingface.co/datasets/mesolitica/pseudolabel-mandarin-large-v3-timestamp)
-6. [Tamil audio](https://huggingface.co/datasets/mesolitica/pseudolabel-tamil-large-v3-timestamp)
-7. [Science context](https://huggingface.co/datasets/mesolitica/pseudolabel-science-large-v3-timestamp)
-8. [Malay sarawak](https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format)
-9. [Scripted Malay Daily Use Speech Corpus](https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format)
-10. [Malay Conversational Speech Corpus](https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format)
-11. [Iban](https://huggingface.co/datasets/malaysia-ai/iban-whisper-format)
 
-### Pseudo-streaming
+### [Malaysian context v2](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/malaysian_context_v2)
+
+1. [Malaysian context v2](https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp)
+
+### [Singaporean context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/imda)
+
+1. [IMDA-STT](https://huggingface.co/datasets/mesolitica/IMDA-STT)
+
+### [indonesian context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/indonesian)
+
+1. [Indonesian context](https://huggingface.co/datasets/mesolitica/pseudolabel-indonesian-large-v3-timestamp)
+
+### [Mandarin context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/mandarin)
+
+1. [Mandarin audio](https://huggingface.co/datasets/mesolitica/pseudolabel-mandarin-large-v3-timestamp)
+
+### [Tamil context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/tamil)
+
+1. [Tamil audio](https://huggingface.co/datasets/mesolitica/pseudolabel-tamil-large-v3-timestamp)
+
+### [Science context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/science_context)
 
-Because Whisper been trained on 30 seconds of audio chunk, so we,
+1. [Science context](https://huggingface.co/datasets/mesolitica/pseudolabel-science-large-v3-timestamp)
 
-1. convert [Malaysian context v2](https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp) into pseudo-streaming chunks, [malaysian_context_v2_chunk](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/malaysian_context_v2_chunk)
+### [Extra context](https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper/viewer/default/extra)
 
-**Extremely large dataset**.
+1. [Malay sarawak](https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format)
+2. [Scripted Malay Daily Use Speech Corpus](https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format)
+3. [Malay Conversational Speech Corpus](https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format)
+4. [Iban](https://huggingface.co/datasets/malaysia-ai/iban-whisper-format)
+5. [malaysia-ai/155-People-Malay-Speech-Data-by-Mobile-Phone-Guiding-whisper-format](https://huggingface.co/datasets/malaysia-ai/155-People-Malay-Speech-Data-by-Mobile-Phone-Guiding-whisper-format)
 
 ## how to prepare the dataset