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Upload README.md with huggingface_hub

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@@ -2,25 +2,34 @@
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  tags:
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  - speech-recognition
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  language:
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- - min
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- - ind
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- - sun
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- - bug
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- - ace
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  - ban
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  - jav
 
 
 
 
 
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  ---
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  The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox.
 
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  We collected only languages in Indonesia for this dataset.
 
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  The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours.
 
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  Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
 
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  We converted the audiobooks to speech datasets using the forced alignment software we developed.
 
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  It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau.
 
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  We can also use it for other languages without additional work to train the model.
 
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  The dataset currently consists of 8 hours in 7 languages from Indonesia.
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- We will add more languages or audio files as we collect them.
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  ## Dataset Usage
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@@ -28,12 +37,13 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
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  ## Citation
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- ```@misc{
 
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  research,
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  title={indonesian-nlp/librivox-indonesia 路 datasets at hugging face},
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  url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
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  author={Indonesian-nlp}
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- }
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  ```
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  ## License
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  ## Homepage
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  ### NusaCatalogue
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  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
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  tags:
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  - speech-recognition
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  language:
 
 
 
 
 
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  - ban
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  - jav
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+ - bug
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+ - sun
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+ - ind
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+ - ace
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+ - min
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  ---
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+ # librivox_indonesia
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+
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  The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox.
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+
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  We collected only languages in Indonesia for this dataset.
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+
20
  The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours.
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+
22
  Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
23
+
24
  We converted the audiobooks to speech datasets using the forced alignment software we developed.
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+
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  It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau.
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+
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  We can also use it for other languages without additional work to train the model.
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+
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  The dataset currently consists of 8 hours in 7 languages from Indonesia.
 
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+ We will add more languages or audio files as we collect them.
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  ## Dataset Usage
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  ## Citation
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+ ```
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+ @misc{
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  research,
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  title={indonesian-nlp/librivox-indonesia 路 datasets at hugging face},
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  url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
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  author={Indonesian-nlp}
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+ }
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  ```
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  ## License
 
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  ## Homepage
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+ [https://huggingface.co/indonesian-nlp/librivox-indonesia](https://huggingface.co/indonesian-nlp/librivox-indonesia)
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+
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  ### NusaCatalogue
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  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)