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README.md DELETED
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- ---
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- license: cc0-1.0
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- language:
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- - en
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- task_categories:
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- - text-to-speech
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- - text-generation
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- pretty_name: Common Voice 11 (en) Cleaned and Tokenized
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- size_categories:
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- - 10K<n<100K
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- dataset_info:
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- features:
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- - name: input_ids
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- sequence: int32
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- - name: attention_mask
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- sequence: int8
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- - name: labels
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- sequence: int64
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- splits:
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- - name: train
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- num_bytes: 1109542776
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- num_examples: 83274
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- - name: validation
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- num_bytes: 17374496
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- num_examples: 1304
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- download_size: 197852035
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- dataset_size: 1126917272
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- ---
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-
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- A cleaned and tokenized version of the English data from [Mozilla Common Voice 11 dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/tree/main).
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-
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- Cleaning steps:
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- * Filtered on samples with >2 upvotes and <1 downvotes]
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- * Removed non voice audio at start and end through pytorch VAD
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-
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- Tokenization
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- * Audio tokenized through [EnCodec by Meta](https://github.com/facebookresearch/encodec)
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- * Using 24khz pre-trained model, and target bandwidth of 1.5
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- * Represented in text as audio_token_0 - audio_token_1023
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- * Prompts constructed as "text: \<common voice transcript\>\naudio: \<audio tokens\>"
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- * Prompts tokenized with GPT tokenizer with added vocab of audio tokens.
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- * Tokenized prompts padded to size 1024 with eos_token.
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-
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- Each sample has 3 properties: input_ids, attention_mask and labels. input_ids and labels are the tokenized prompts and attention_mask is the attention mask.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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