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@@ -49,11 +49,36 @@ The dataset is composed of 61 audio recordings with a total duration of 3h 15 an
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  # Example Usage
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  # Dataset source
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  # Citation
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- # Contribution
 
 
 
 
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  # Example Usage
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+ ```
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+ from datasets import load_dataset
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+ ds = load_dataset("diarizers-community/simsamu")
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+
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+ print(ds)
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+ ```
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+
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+ gives:
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+ ```
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+ DatasetDict({
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+ train: Dataset({
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+ features: ['audio', 'timestamps_start', 'timestamps_end', 'speakers'],
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+ num_rows: 61
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+ })
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+ })
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+ ```
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+
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  # Dataset source
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+ - Repository: https://huggingface.co/datasets/medkit/simsamu
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+ - Preprocessed using the diarizers repository scripts: https://github.com/kamilakesbi/diarizers/tree/main/datasets
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+
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  # Citation
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+ # Contribution
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+
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+ Thanks to [@kamilakesbi](https://huggingface.co/kamilakesbi) and [@sanchit-gandhi](https://huggingface.co/sanchit-gandhi) for adding this dataset.
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