all_nba_datasets / README.md
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metadata
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
      num_examples: 46
    - name: validation
      num_bytes: 1555591
      num_examples: 16
  download_size: 7274817
  dataset_size: 7278905
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")