---
license: apache-2.0
task_categories:
- automatic-speech-recognition
- text-generation
language:
- fr
tags:
- audio
- transcription
- speech-to-text
- medical
- reports
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: file_name
    dtype: string
  - name: text
    dtype: string
  - name: id
    dtype: string
  config_name: default
  splits:
  - name: train
    num_examples: 204
pretty_name: MedReport - 204 examples of real medical audio transcriptions
---

# MedReport - Audio Dataset

## Dataset Description
This dataset contains medical report audio files with their transcriptions, formatted according to HuggingFace Audio Dataset specifications. It's suitable for training speech-to-text models and instruction-following models in the medical domain.

## Dataset Structure
This dataset follows the official HuggingFace Audio Dataset format:

```
dataset/
└── train/
    ├── audio/
    │   ├── 20240315143022.wav
    │   ├── 20240315143155.wav
    │   └── ...
    ├── metadata.csv
    └── metadata.jsonl
```

## Columns
- **file_name**: Relative path to audio file (e.g., "audio/20240315143022.wav")
- **text**: Human transcription of the audio (primary transcription column)
- **id**: Audio file identifier (filename only, e.g., "20240315143022.wav")

## Statistics
- Total audio files: 204
- Format: WAV
- Metadata formats: CSV and JSONL
- License: Apache License 2.0
- Created: 2025-08-05

## Usage

### Loading the dataset
```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("wouk1805/medreport_audio_204")

# Access audio and transcription
for example in dataset['train']:
    audio = example['audio']
    transcription = example['text']
    print(f"Transcription: {transcription}")
```

### For speech-to-text training
```python
# Clean, simple dataset structure
audio_column = "audio"
text_column = "text"
id_column = "id"  # For tracking/identification
```

## Files
- `train/audio/`: Directory containing all WAV audio files
- `train/metadata.csv`: Main metadata file (HuggingFace standard)
- `backup_metadata.jsonl`: Alternative JSONL format (for reference)

## Citation
```
@dataset{medreport_audio_dataset,
  author = {Young-wouk KIM},
  title={MedReport - Audio Dataset},
  year={2025},
  url={https://huggingface.co/datasets/wouk1805/medreport_audio_204}
}
```