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Add dataset card README

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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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- - en
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Remote Sensing VQA — Multilingual
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+
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+ A multilingual counterfactual MCQ dataset built from remote sensing / satellite imagery.
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+
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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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+
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+ ## Languages
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+
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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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+
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+ ## Columns
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+
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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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+
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+ ## Dataset Statistics
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+
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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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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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+ ## Citation
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+
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+ If you use this dataset, please cite our work on multilingual cross-modal conflict evaluation.