| ---
|
| 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](https://huggingface.co/datasets/) 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
|
|
|
| ```python
|
| 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
|
|
|
| [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
|
|
|
| ## Citation
|
|
|
| If you use this dataset, please cite the original KisanVaani work and this
|
| HuggingFace repository:
|
|
|
| ```bibtex
|
| @dataset{rokayon_agriqamultilingual_2025,
|
| author = {Rokayon},
|
| title = {AgriQA Multilingual Dataset},
|
| year = {2025},
|
| publisher = {HuggingFace},
|
| url = {https://huggingface.co/datasets/rokayon/AgriQA_Multilingual_Dataset}
|
| }
|
| ```
|
|
|
