Datasets:
Add dataset card README
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README.md
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---
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dataset_info:
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builder_name: imagefolder
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config_name: default
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features:
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- name: original_row_index
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dtype: int64
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- name: image
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dtype: image
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- name: Original_Caption
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dtype: string
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- name: Counterfactual_caption
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dtype: string
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- name: Question
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dtype: string
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- name: Image_bias_answer
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dtype: string
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- name: Text_bias_answer
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dtype: string
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- name: Plausible_Distractor
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dtype: string
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- name: language
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dtype: string
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splits:
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- name: train
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num_examples: 250
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language:
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- hi
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- te
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- ur
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- id
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---
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language:
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- en
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- hi
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- te
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- ur
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- id
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license: mit
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task_categories:
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- question-answering
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- multiple-choice
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tags:
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- apart-global-south-hack
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- vlm-conflict
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- cross-modal
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- remote-sensing
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- counterfactual
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size_categories:
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- n<1K
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---
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# Remote Sensing VQA — Multilingual
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A multilingual counterfactual MCQ dataset built from remote sensing / satellite imagery.
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Each row contains a satellite image, two captions (original vs counterfactual), and a multiple-choice question probing whether a VLM follows the image or the misleading text.
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## Languages
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| Language | Code | Rows |
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|:------------------|:-----|-----:|
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| English | en | 50 |
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| Hindi | hi | 50 |
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| Urdu | ur | 50 |
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| Telugu | te | 50 |
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| Bahasa Indonesia | id | 50 |
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## Columns
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| Column | Type | Description |
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|:-------|:-----|:------------|
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| `original_row_index` | int | Index linking back to the source RS-VQA row |
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| `image` | image | Satellite / remote sensing image |
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| `Original_Caption` | str | Caption describing the original image category |
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| `Counterfactual_caption` | str | Caption with a minimal counterfactual edit |
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| `Question` | str | Multiple-choice question probing the difference |
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| `Image_bias_answer` | str | Correct answer based on image evidence |
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| `Text_bias_answer` | str | Correct answer based on text (counterfactual) evidence |
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| `Plausible_Distractor` | str | Plausible but incorrect distractor answer |
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| `language` | str | Language of the row |
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## Dataset Statistics
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- **Total rows:** 250 (50 per language × 5 languages)
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- **Source:** Remote sensing VQA dataset with programmatic counterfactual captions
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- **Conflict types:** Category/land-use misattribution on satellite imagery
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("apart-global-south-hack/remote_sensing_VQA_multilingual", split="train")
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print(ds[0])
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```
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## Citation
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If you use this dataset, please cite our work on multilingual cross-modal conflict evaluation.
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