Datasets:

jsbeaudry
/

med-cre

license: mit
task_categories:
  - automatic-speech-recognition
  - text-to-speech
tags:
  - speech
  - audio
  - haitian_creole
  - healthcare
  - human
  - multilingual
language:
  - ha
size_categories:
  - n<1K
pretty_name: Multi-Domain Haitian_creole Speech Dataset

Multi-Domain Haitian_creole Speech Dataset

This dataset contains 12 audio recordings with corresponding text transcriptions across multiple languages and domains.

Dataset Description

A comprehensive collection of audio files paired with text transcriptions, featuring both synthetic and natural speech across various domains. Suitable for automatic speech recognition (ASR), text-to-speech (TTS), and domain-specific speech processing tasks.

Dataset Structure

Each entry contains:

id: Unique identifier (UUID)
text: Transcription text in the specified language
audio: URL to the audio file (with AWS S3 signed URLs)
nature: Type of audio (e.g., "synthetic", "natural")
language: Language of the audio/text
domain: Domain/topic category (e.g., "agriculture", "healthcare", "education")

Languages

This dataset includes the following languages:

Haitian_creole (ha): haitian_creole

Domains

Content spans across multiple domains:

Healthcare: Domain-specific terminology and context

Audio Nature

The dataset includes different types of audio:

Human: Natural human speech

Usage

from datasets import load_dataset
import json
import requests
from io import BytesIO
import pandas as pd

# Load using datasets library
dataset = load_dataset("jsbeaudry/med-cre")

# Or load JSON directly
with open("dataset.json", "r", encoding="utf-8") as f:
    data = json.load(f)

print(f"Dataset contains {len(data)} audio-text pairs")

# Create DataFrame for analysis
df = pd.DataFrame(data)
print("\nDataset breakdown:")
print(f"Languages: {df['language'].value_counts().to_dict()}")
print(f"Domains: {df['domain'].value_counts().to_dict()}")
print(f"Nature: {df['nature'].value_counts().to_dict()}")

# Filter by criteria
swahili_agriculture = [item for item in data 
                      if item['language'] == 'swahili' and item['domain'] == 'agriculture']
print(f"\nSwahili agriculture samples: {len(swahili_agriculture)}")

# Example: Download and process audio
def download_audio(url):
    response = requests.get(url)
    return BytesIO(response.content)

# Get first audio file
audio_data = download_audio(data[0]['audio'])
print(f"Audio downloaded for: {data[0]['text'][:50]}...")

Sample Data

{
  "id": "2317776c-d722-4870-bcfa-99b3b58526c4",
  "source": "Jean",
  "text": "Kijan ou santi ou jodi a, paske pran swen tèt ou enpòtan anpil pou sante mantal ou.",
  "audio": "https://voiceovers-haiti.s3.us-east-2.amazonaws.com/0e230ff9-f13e-4d3b-be7d-fb3b19977511_d28cfdee-75e0-489a-a790-49db5343dd8a_human.wav?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIAXF2BWYGA2CKJX4LH%2F20251005%2Fus-east-2%2Fs3%2Faws4_request&X-Amz-Date=20251005T063333Z&X-Amz-Expires=3600&X-Amz-Signature=db472454266f6ace8db4563a71a3705ba9e49635f17a97217c4975ef9596e07e&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject",
  "nature": "human",
  "language": "haitian_creole",
  "domain": "healthcare"
}

Sample Transcriptions by Domain

Healthcare Domain

Haitian_creole (human):
"Kijan ou santi ou jodi a, paske pran swen tèt ou enpòtan anpil pou sante mantal ou."
ID: 2317776c...
Haitian_creole (human):
"Si w santi estrès oswa tristès, pa pè chèche sipò yon pwofesyonèl nan sante mantal, yo la pou ede w."
ID: 9665761e...

Dataset Statistics

Total audio files: 12
Languages: 1 (Haitian_creole)
Domains: 1 (healthcare)
Audio types: human
Average text length: 74 characters
Audio hosting: voiceovers-haiti.s3.us-east-2.amazonaws.com

Distribution by Category

Category	Values
Haitian_creole	12 samples
Healthcare	12 samples
Human	12 samples

Audio Format

Audio files are stored locally in the dataset as WAV files. When loaded with the datasets library, audio is automatically converted to the standard format:

Format: WAV
Sampling Rate: Preserved from original (typically 16kHz or 22kHz)
Channels: Mono
Bit Depth: 16-bit or 32-bit float
Access: Direct array access via dataset['train'][index]['audio']['array']

Use Cases

This dataset can be used for:

Speech Recognition (ASR)

Multi-language speech recognition systems
Domain-specific ASR models (agriculture, healthcare, etc.)
Synthetic vs. natural speech detection

Text-to-Speech (TTS)

Multi-language TTS systems
Domain-adaptive speech synthesis
Voice quality evaluation (synthetic vs. natural)

Research Applications

Cross-domain speech analysis
Language-specific phonetic studies
Synthetic speech quality assessment
Multi-modal AI training

Commercial Applications

Voice assistants for specific domains
Educational pronunciation tools
Accessibility applications
Multilingual customer service systems

Data Quality

All audio files are accessible via HTTPS URLs with AWS authentication
Text transcriptions are domain-verified and language-specific
Unique identifiers ensure data integrity and traceability
Consistent schema across all entries
Balanced representation across domains and languages

License

This dataset is released under the MIT License.

Citation

@dataset{multi_domain_speech_2025,
  title={Multi-Domain Haitian_creole Speech Dataset},
  author={Dataset Creator},
  year={2025},
  languages={ha},
  domains={healthcare},
  url={https://huggingface.co/datasets/jsbeaudry/med-cre}
}

Acknowledgments

Special thanks to contributors who provided audio recordings and transcriptions across multiple languages and domains to make this comprehensive dataset possible.