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@@ -25,4 +25,19 @@ configs:
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  path: data/train-*
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  - split: validation
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  path: data/validation-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/train-*
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  - split: validation
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  path: data/validation-*
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+
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+ dataset_description: |
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+ This dataset contains transcriptions of audio segments, primarily designed for fine-tuning automatic speech recognition (ASR) models like OpenAI's Whisper. Each sample includes an audio clip, its corresponding transcription, and timestamp information (start and end times) for the segment.
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+
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+ The data is organized into two splits:
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+ - **Train:** 46 examples (~5.7MB)
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+ - **Validation:** 16 examples (~1.5MB)
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+
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+ The dataset is particularly useful for tasks requiring timestamped speech recognition.
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+
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+ usage: |
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+ To load this dataset with the 🤗 Datasets library:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("your-username/your-dataset-name")
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+ ---