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---
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: start_time
dtype: string
- name: end_time
dtype: string
splits:
- name: train
num_bytes: 5723314.0
num_examples: 46
- name: validation
num_bytes: 1555591.0
num_examples: 16
download_size: 7274817
dataset_size: 7278905.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_description: |
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.
The data is organized into two splits:
- **Train:** 46 examples (~5.7MB)
- **Validation:** 16 examples (~1.5MB)
The dataset is particularly useful for tasks requiring timestamped speech recognition.
usage: |
To load this dataset with the 🤗 Datasets library:
```python
from datasets import load_dataset
dataset = load_dataset("your-username/your-dataset-name")
--- |