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Datasets:
michawe
/
lookahead_meeting_datasets

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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 229, in _split_generators
                  raise ValueError(
              ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

My Audio Transcription Dataset

This dataset contains 16 minutes of audio segmented into 30-second intervals, with corresponding human-generated transcripts. It is intended to support research in automatic speech recognition (ASR), transcription evaluation, summarization, and dialog understanding.

🗂 Dataset Structure

Each sample includes:

  • audio_filepath: Path to the audio file segment
  • timestamp: Time range of the segment
  • transcript: Human-generated transcription of the segment

Example row: data/audio_0001.wav, 0-0.30, "something to distinguish them. since they have different controllers..."

📦 Files

  • /data: Folder containing all audio segments in .wav format
  • metadata.csv: File mapping audio to transcript
  • README.md: This documentation
  • dataset_info.json: Optional file describing dataset metadata

🧪 Applications

This dataset is suitable for:

  • ASR model evaluation (e.g., Whisper, Vosk, Wav2Vec2)
  • Summarization
  • Speaker diarization (if multiple speakers)
  • Training fine-tuned ASR models

📄 License

CC BY 4.0 — you are free to share and adapt with attribution.

👤 Citation

Please cite as: Michael Awe (2025). Lookahead Meeting Transcription Dataset. Hugging Face Datasets. https://huggingface.co/datasets//lookahead_meeting_dataset

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