The dataset viewer is not available for this subset.
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.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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.
π Dataset Structure
Each sample includes:
audio_filepath: Path to the audio file segmenttimestamp: Time range of the segmenttranscript: Human-generated transcription of the segment
Example row: data/audio_0001.wav, 0-0.30, "something to distinguish them. since they have different controllers..."
π¦ Files
/data: Folder containing all audio segments in.wavformatmetadata.csv: File mapping audio to transcriptREADME.md: This documentationdataset_info.json: Optional file describing dataset metadata
π§ͺ 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
π License
CC BY 4.0 β you are free to share and adapt with attribution.
π€ 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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