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@@ -188,7 +188,7 @@ The tokenizer for these model was built using the text transcripts of the train
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  The model is trained on composite dataset comprising of around 8500 hours of English speech:
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  - [Librispeech](https://www.openslr.org/12)
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- - Data Collection Method: by Human
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  - Labeling Method: by Human
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  - [Mozilla Common Voice 11.0 English](https://commonvoice.mozilla.org/en/datasets)
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  - Data Collection Method: by Human
@@ -197,10 +197,10 @@ The model is trained on composite dataset comprising of around 8500 hours of Eng
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  - Data Collection Method: by Human
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  - Labeling Method: by Human
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  - [Fisher](https://catalog.ldc.upenn.edu/LDC2004S13)
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- - Data Collection Method: by Human
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  - Labeling Method: by Human
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  - [MLS](https://www.openslr.org/94/)
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- - Data Collection Method: by Human
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  - Labeling Method: by Human
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  - [Voxpopuli](https://github.com/facebookresearch/voxpopuli)
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  - Data Collection Method: by Human
 
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  The model is trained on composite dataset comprising of around 8500 hours of English speech:
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  - [Librispeech](https://www.openslr.org/12)
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+ - Data Collection Method: Automated
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  - Labeling Method: by Human
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  - [Mozilla Common Voice 11.0 English](https://commonvoice.mozilla.org/en/datasets)
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  - Data Collection Method: by Human
 
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  - Data Collection Method: by Human
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  - Labeling Method: by Human
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  - [Fisher](https://catalog.ldc.upenn.edu/LDC2004S13)
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+ - Data Collection Method: Automated
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  - Labeling Method: by Human
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  - [MLS](https://www.openslr.org/94/)
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+ - Data Collection Method: Automated
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  - Labeling Method: by Human
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  - [Voxpopuli](https://github.com/facebookresearch/voxpopuli)
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  - Data Collection Method: by Human