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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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- name: start_time |
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dtype: string |
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- name: end_time |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5723314.0 |
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num_examples: 46 |
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- name: validation |
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num_bytes: 1555591.0 |
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num_examples: 16 |
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download_size: 7274817 |
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dataset_size: 7278905.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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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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--- |
