README.md

# 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:
1. Manual review and correction of transcriptions
2. Evaluation of direct transcription quality
3. Fine-tuning of ASR models for Portuguese
4. 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:

```python
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