---
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")
---