TDTU VQA Dataset — Vietnamese Medicinal Herbs 🌿
Dataset Description
TDTU VQA Dataset Herb is a Vietnamese Visual Question Answering (VQA) dataset focused on medicinal plants and herbs. It was developed for scientific research at Ton Duc Thang University (TDTU), with the goal of advancing AI models capable of recognizing and answering questions about Vietnamese medicinal herbs.
- Homepage: Hugging Face Dataset
- Repository:
azan100an/tdtu_vqa_dataset_herb - Point of Contact: Ton Duc Thang University (TDTU)
Dataset Summary
| Attribute | Value |
|---|---|
| Language | Vietnamese (vi) |
| Total Q&A pairs | 29,151 |
| Total images | 3,790 |
| Average Q&A per image | ~7.7 |
| Total size | ~324 MB |
| Image format | JPG |
Dataset Structure
Splits
| Split | Samples | Ratio |
|---|---|---|
| Train | 23,271 | 80% |
| Validation | 2,954 | 10% |
| Test | 2,926 | 10% |
| Total | 29,151 | 100% |
Data Fields
Each sample contains 3 fields:
| Field | Type | Description |
|---|---|---|
file_name | string | Relative path to the herb image |
question | string | Question in Vietnamese (6–117 characters) |
answer | string | Answer in Vietnamese (2–258 characters) |
Sample
{
"file_name": "data/P000000001.jpg",
"question": "Tên dược liệu trong ảnh là gì?", # "What is the name of the medicinal herb in the image?"
"answer": "Tên dược liệu trong ảnh là Cao cẳng bắc bộ." # "The herb in the image is Cao cẳng bắc bộ."
}
Directory Structure
tdtu_vqa_dataset_herb/
├── data/
│ ├── P000000001.jpg
│ ├── P000000002.jpg
│ └── ... (3,790 images)
├── train_metadata.jsonl (23,271 lines)
├── val_metadata.jsonl (2,954 lines)
└── test_metadata.jsonl (2,926 lines)
Dataset Creation
Source Data
The dataset was compiled from Vietnamese medicinal herb references and botanical resources. Images depict various parts of medicinal plants — leaves, flowers, fruits, roots, bark, and dried preparations — and Q&A pairs are constructed to cover multiple aspects of each herb.
Question Types
The dataset covers a wide range of question types:
| Type | Vietnamese examples |
|---|---|
| Herb identification | "Đây là loại dược liệu gì?" · "Tên dược liệu trong ảnh là gì?" |
| Morphology | "Màu sắc chủ đạo của lá cây là gì?" · "Hình dạng của hoa như thế nào?" |
| Plant parts | "Bộ phận nào của cây được dùng làm thuốc?" |
| Medicinal uses | "Cây này thường được dùng để chữa bệnh gì?" |
| Dosage | "Liều dùng sắc nước uống của dược liệu này là bao nhiêu?" |
| Phenology | "Cây thường ra hoa vào mùa nào?" |
| Yes / No | "Có phải hoa có 6 cánh không?" · "Trong ảnh có hoa không?" |
| Counting | "Có bao nhiêu quả màu đỏ trong ảnh?" |
Data Processing
- One item with a missing image was excluded (P000001388)
- Data was randomly shuffled with
seed=42for reproducibility - All text is encoded in UTF-8 with full Vietnamese character support
Usage
Loading the Dataset
from datasets import load_dataset
dataset = load_dataset("azan100an/tdtu_vqa_dataset_herb")
train_data = dataset["train"]
val_data = dataset["validation"]
test_data = dataset["test"]
print(train_data[0])
# {
# "file_name": "data/P000001116.jpg",
# "question": "Màu sắc chủ đạo của lá cây trong ảnh là gì?",
# "answer": "Màu sắc chủ đạo của lá cây là màu xanh lục với các đường gân lá nổi rõ."
# }
Loading with Images
from datasets import load_dataset
from PIL import Image
dataset = load_dataset("azan100an/tdtu_vqa_dataset_herb")
sample = dataset["train"][0]
image = Image.open(sample["file_name"])
print("Q:", sample["question"])
print("A:", sample["answer"])
Intended Uses
Appropriate Uses ✅
- Training and evaluating Visual Question Answering (VQA) models for Vietnamese
- Research on medicinal herb recognition using computer vision
- Developing Vietnamese medical/pharmaceutical chatbots
- Academic research on Multimodal AI in the healthcare domain
Out-of-Scope Uses ❌
- Clinical medical diagnosis
- Replacing advice from qualified healthcare professionals
- Commercial applications without explicit permission
Limitations
- The dataset is Vietnamese only and does not support other languages
- Answers are derived from reference materials and may contain domain inaccuracies
- Medical information in this dataset should not be used as a basis for treatment decisions
- The dataset has not been independently verified by licensed pharmacists or botanists
Citation
If you use this dataset in your research, please cite:
@dataset{tdtu_vqa_herb_2025,
author = {azan100an and Ton Duc Thang University},
title = {TDTU VQA Dataset: Vietnamese Medicinal Herbs},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/azan100an/tdtu_vqa_dataset_herb}
}
License
This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.
You are free to use, share, and adapt the dataset for non-commercial purposes, provided that appropriate credit is given.
Built with ❤️ at Ton Duc Thang University (TDTU), Ho Chi Minh City, Vietnam