Datasets:
metadata
language:
- bn
- en
- es
- zh
license: cc-by-4.0
task_categories:
- question-answering
task_ids:
- open-domain-qa
pretty_name: AgriQA Multilingual Dataset
size_categories:
- 10K<n<100K
tags:
- agriculture
- multilingual
- kisanvaani
- question-answering
- bengali
- english
- spanish
- chinese
AgriQA Multilingual Dataset
A multilingual agricultural question-answering dataset derived from the KisanVaani corpus, covering four languages: Bengali (bn), English (en), Spanish (es), and Chinese (zh).
Dataset Statistics
| Split | Rows |
|---|---|
| Train | 72,368 |
| Test | 18,092 |
| Total | 90,460 |
Language Distribution (per split — stratified)
| Language | Train | Test |
|---|---|---|
| Bengali (bn) | 18,092 | 4,523 |
| English (en) | 18,092 | 4,523 |
| Spanish (es) | 18,092 | 4,523 |
| Chinese (zh) | 18,092 | 4,523 |
Dataset Structure
from datasets import load_dataset
ds = load_dataset("rokayon/AgriQA_Multilingual_Dataset")
Fields
| Column | Type | Description |
|---|---|---|
id |
string | Unique identifier for each example |
question |
string | Agricultural question in the target language |
answer |
string | Answer to the question in the target language |
lang |
string | ISO 639-1 language code (bn, en, es, zh) |
text |
string | Combined question + answer text |
Splits
The dataset is split 80 % train / 20 % test using a stratified split so that each language contributes equally proportional rows to both splits.
License
Citation
If you use this dataset, please cite the original KisanVaani work and this HuggingFace repository:
@dataset{rokayon_agriqamultilingual_2025,
author = {Rokayon},
title = {AgriQA Multilingual Dataset},
year = {2025},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/rokayon/AgriQA_Multilingual_Dataset}
}