Update README.md

README.md

@@ -36,75 +36,16 @@ We use [mesolitica/nanot5-base-malaysian-translation-v2.1](https://huggingface.c
 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)
 
-### Word level timestamp
-
-1. Malaysian context v1, 658.54 hours.
-
-```
-{"audio_filename": "prepared-pseudolabel-malaya-chunks/2-0.mp3", "new_text": "<|startoftranscript|><|ms|><|transcribeprecise|><|0.00|> luar<|0.34|><|0.42|> kan<|0.60|><|1.78|> sebab<|2.06|><|2.24|> benda<|2.42|><|2.52|> ni<|2.58|><|2.70|> berlaku<|3.08|><|3.20|> contoh<|3.50|><|3.56|> kita<|3.72|><|3.80|> pergi<|3.98|><|4.10|> ke<|4.16|><|4.40|> ATM<|4.76|><|5.70|> yang<|5.80|><|5.84|> bukan<|6.02|><|6.10|> Islam,<|6.34|><|6.96|> siang<|7.12|><|7.18|> hari<|7.42|><|endoftext|>"}
-```
-
-- [Label](pseudolabel-malaya-whisper-word-timestamp.jsonl)
-- [Audio](prepared-pseudolabel-malaya-chunks.zip)
-  
-2. Malaysian context v2, 8058.17 hours.
-
-```
-{"audio_filename": "prepared-pseudolabel-chunks/0-0.mp3", "new_text": "<|startoftranscript|><|ms|><|transcribeprecise|><|0.00|> tu<|0.04|><|0.20|> So<|0.26|><|0.70|> gaji<|0.96|><|1.06|> berbeza<|1.42|><|2.46|> Gaji<|2.86|><|endoftext|>"}
-```
-
-- [Label](pseudolabel-whisper-word-timestamp.jsonl)
-- [Audio](prepared-pseudolabel_alignment)
-  
-3. Singaporean context, 1829.21 hours.
-
-```
-{"audio_filename": "prepared-imda-chunks/0-0.mp3", "new_text": "<|startoftranscript|><|en|><|transcribeprecise|><|0.00|> Households<|0.58|><|0.64|> with<|0.76|><|0.86|> target<|1.16|><|1.24|> sets<|1.50|><|1.70|> were<|1.82|><|1.90|> encouraged<|2.40|><|2.44|> to<|2.48|><|2.62|> try<|2.80|><|2.90|> keeping<|3.24|><|endoftext|>"}
-```
-
-- [Label](imda-whisper-word-timestamp.jsonl)
-- [Audio](prepared-imda_alignment)
-  
-4. Science context, 4992.42 hours.
-
-```
-{"audio_filename": "prepared-science-chunks/0-0.mp3", "new_text": "<|startoftranscript|><|en|><|transcribeprecise|><|0.00|> Visual<|0.24|><|0.30|> Studio<|0.60|><|0.76|> Code<|1.00|><|1.06|> integration.<|1.68|><|3.46|> Here's<|3.70|><|3.76|> what<|3.88|><|3.94|> will<|4.06|><|4.10|> be<|4.14|><|4.28|> new.<|4.44|><|5.36|> You<|5.42|><|5.46|> will<|5.58|><|5.62|> have<|5.74|><|5.82|> more<|5.96|><|6.08|> choice<|6.40|><|6.48|> on<|6.52|><|6.60|> runtime<|6.96|><|7.02|> experiences.<|7.82|><|8.78|> Java<|9.06|><|9.16|> interoperability<|10.04|><|10.22|> will<|10.32|><|10.36|> be<|10.40|><|10.48|> available<|10.90|><|10.96|> on<|11.00|><|11.08|> all<|11.14|><|11.22|> platforms.<|11.78|><|12.22|> Objective<|12.68|><|12.78|> C<|12.78|><|13.00|> and<|13.06|><|13.16|> Swift<|13.42|><|13.48|> interoperability<|14.38|><|14.92|> will<|15.04|><|15.08|> be<|15.12|><|15.26|> supported<|15.70|><|15.78|> on<|15.82|><|15.90|> multiple<|16.26|><|16.34|> operating<|16.78|><|16.86|> systems.<|17.28|><|18.28|> Core<|18.62|><|18.74|> FX<|18.98|><|19.20|> will<|19.30|><|19.34|> be<|19.38|><|19.46|> extended<|19.96|><|20.30|> to<|20.34|><|20.42|> support<|20.74|><|20.84|> static<|21.16|><|21.22|> compilation<|22.04|><|endoftext|>"}
-```
-   
-- [Label](prepared-science-word-timestamp.jsonl)
-- [Audio](prepared-science_alignment)
-
-5. IMDA Part 2, 931 hours.
-
-```
-{"text": "<|startoftranscript|><|en|><|transcribeprecise|><|0.54|> Mimosa<|1.00|><|1.14|> Walk<|1.36|><|1.72|> Mount<|2.00|><|2.06|> Sophia<|2.42|><|2.90|> and<|3.00|><|3.08|> Jalan<|3.38|><|3.50|> Ilmu.<|4.38|><|endoftext|>", "audio_filename": "filter-imda-part2/train-00387-of-00727-6.mp3"}
-```
-
-- [Label](imda-part2-word-timestamp.jsonl)
-- [Audio](filter-imda-part2.zip)
-
 ## how to prepare the dataset
 
 ```bash
-# Malay sarawak
-wget https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format/resolve/main/sarawakmalay.zip
-wget https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format/resolve/main/dataset.json -O sarawakmalay.json
-unzip sarawakmalay.zip
-
-# for Scripted Malay Daily Use Speech Corpus
-wget https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format/resolve/main/scripted-malay-daily-use-speech-corpus-whisper-format.zip
-wget https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format/resolve/main/scripted-malay-daily-use-speech-corpus-whisper-format.json
-unzip scripted-malay-daily-use-speech-corpus-whisper-format.zip
-
-# Malay Conversational Speech Corpus
-wget https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format/resolve/main/malay-conversational-speech-corpus-whisper-format.zip
-wget https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format/resolve/main/malay-conversational-speech-corpus-whisper-format.json
-unzip malay-conversational-speech-corpus-whisper-format.zip
-
-# Iban
-wget https://huggingface.co/datasets/malaysia-ai/iban-whisper-format/resolve/main/iban-wav.zip
-wget https://huggingface.co/datasets/malaysia-ai/iban-whisper-format/resolve/main/iban-dataset.json
-unzip iban-wav.zip
+huggingface-cli download --repo-type dataset \
+--include '*.zip' \
+--local-dir './' \
+--max-workers 20 \
+mesolitica/Malaysian-STT-Whisper
+wget https://gist.githubusercontent.com/huseinzol05/2e26de4f3b29d99e993b349864ab6c10/raw/9b2251f3ff958770215d70c8d82d311f82791b78/unzip.py
+python3 unzip.py
 ```
 
 ## Source code