yuriilaba/toronto-tv-ukrainian

Toronto TV Ukrainian Speech Dataset

For educational purposes only. All rights to the original video and audio content belong to Телебачення Торонто (YouTube channel).

Dataset Summary

A Ukrainian-language speech dataset parsed from the Телебачення Торонто YouTube channel. Each sample consists of a short audio clip and its corresponding Ukrainian subtitle text, intended for use in automatic speech recognition (ASR) research and education.

Dataset Details

Dataset Structure

toronto-dataset/
├── labels.jsonl                  # Maps audio paths to transcriptions
├── toronto_0/
│   ├── toronto_0_0.wav
│   ├── toronto_0_1.wav
│   └── ...
├── toronto_1/
│   └── ...
└── ...                           # 71 folders total (one per source video)

Each folder corresponds to one source video. Files within a folder are named {video_id}_{segment_index}.wav and are ordered chronologically.

labels.jsonl

A single JSON object mapping relative audio paths to their transcription strings:

{
  "dataset/toronto_0/toronto_0_0.wav": "Слава Ісу! ...",
  "dataset/toronto_0/toronto_0_1.wav": "...",
  ...
}

Data Fields

• —audio — WAV audio clip (short utterance, ~6 sec average)
• —text — Ukrainian transcription from the original subtitles
• —video_id — source video folder name (e.g. toronto_0), useful for train/test splitting by video

Usage (HuggingFace datasets)

from datasets import load_dataset

ds = load_dataset("yuriilaba/toronto-tv-ukrainian")
print(ds["train"][0])
# {'audio': {'array': [...], 'sampling_rate': 16000}, 'text': 'Слава Ісу! ...'}

License & Attribution

This dataset was created for educational and research purposes only.

• —Original content: All rights belong to Телебачення Торонто.
• —Dataset created by:
• —Yurii Laba
• —Volodymyr Mudriy

If you are the rights holder and have concerns about this dataset, please contact the authors.