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voa-engines
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streaming-vad-dataset

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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)

VOA PT-BR Audio Dataset

Dataset Description

This dataset contains audio segments processed with Voice Activity Detection (VAD). Each segment has an audio file (.wav) and associated metadata including:

  • Raw transcription (automated)
  • Duration
  • Start and end times
  • Language (pt-br)

Usage

This dataset is intended for:

  1. Manual review and correction of transcriptions
  2. Evaluation of Voice Activity Detection (VAD) parameters
  3. Fine-tuning of ASR models for Portuguese

Dataset Structure

  • audio/: Contains WAV files of audio segments
  • metadata.json: Contains complete metadata for all segments
  • metadata.csv: CSV version of the complete metadata
  • simple_dataset.csv: Simplified version with just audio and transcription columns
  • dataset_dict.json: Dataset in HuggingFace compatible format

Loading the Dataset

You can load this dataset using the HuggingFace Datasets library:

from datasets import load_dataset

# Load from the Hub
dataset = load_dataset("voa-engines/audio-review-processed")

# Access the first example
example = dataset["train"][0]
print(f"Audio file: ['audio']")
print(f"Transcription: ['transcription']")

Processing Information

The audio segments were processed using the following VAD parameters:

  • threshold: 0.5
  • min_speech_duration_ms: 250
  • min_silence_duration_ms: 500
  • enable_padding: True
  • padding_duration_ms: 192

Created on: 2025-04-04

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