Datasets:

voa-engines
/

audio-review-raw

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Dataset Viewer

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 Raw Audio Dataset

Dataset Description

This dataset contains raw audio chunks processed directly with Whisper (without VAD preprocessing). Each chunk has an audio file (.wav) and associated metadata including:

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

Usage

This dataset is intended for:

Manual review and correction of transcriptions
Evaluation of direct transcription quality
Fine-tuning of ASR models for Portuguese
Future comparison with VAD preprocessed audio

Dataset Structure

audio/: Contains WAV files of audio chunks
metadata.json: Contains complete metadata for all chunks
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-raw")

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

Processing Information

The audio files were processed using the following approach:

Direct Whisper transcription without VAD preprocessing
Long audio files (>30s) were chunked into 30-second segments
Original audio file structure maintained

Created on: 2025-04-04

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