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README.md

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+# 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
+        

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