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README.md
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path: data/train-*
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- split: validation
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path: data/validation-*
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path: data/train-*
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- split: validation
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path: data/validation-*
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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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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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The dataset is particularly useful for tasks requiring timestamped speech recognition.
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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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