---
language:
- en
- hi
- ur
- te
- id
license: mit
task_categories:
- question-answering
- multiple-choice
size_categories:
- n<1K
---

# Multilingual Counterfactual

A multilingual counterfactual MCQ dataset built from [COCO-Counterfactual](https://huggingface.co/datasets/geoskyr/COCO-Counterfactual).

Each row contains an image, two captions (original vs counterfactual), and a multiple-choice question probing the difference between image content and text description.

## Languages

| Language        | Code | Status  |
|-----------------|------|---------|
| English         | en   | ✅ Done |
| Hindi           | hi   | ✅ Done |
| Urdu            | ur   | ✅ Done |
| Telugu          | te   | ✅ Done |
| Bahasa Indonesia| id   | ✅ Done |

## Columns

| Column                 | Type   | Description                                        |
|------------------------|--------|----------------------------------------------------|
| serial_id              | int    | Unique row identifier (1–150 per language)         |
| image                  | image  | Original COCO image (512×512)                      |
| original_caption       | str    | Caption describing the original image              |
| counterfactual_caption | str    | Caption describing the counterfactual (edited) image |
| changed_words          | dict   | The word(s) changed between original and counterfactual |
| question               | str    | Multiple-choice question probing the difference    |
| image_answer_bias      | str    | Correct answer based on image evidence             |
| text_answer_bias       | str    | Correct answer based on text evidence              |
| plausible_distractor   | str    | Plausible but incorrect answer                     |
| language               | str    | Language of the row                                |

## Dataset Statistics

- **Total rows:** 750 (150 per language × 5 languages)
- **Source:** 150 unique COCO-Counterfactual examples
- **Image dimensions:** 512×512 RGB

## Usage

```python
from datasets import load_dataset

ds = load_dataset("feliren/multilingual-counterfactual", split="train")
print(ds[0])
```


## Original Source

This dataset is built from [**COCO-Counterfactuals**](https://huggingface.co/datasets/geoskyr/COCO-Counterfactual) by Le et al. (2023).

> Tiep Le, Vasudev Lal, and Phillip Howard. 2023.
> *COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs.*
> In Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Datasets and Benchmarks Track.

```bibtex
@inproceedings{le2023coco,
  title={COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs},
  author={Le, Tiep and Lal, Vasudev and Howard, Phillip},
  booktitle={Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Datasets and Benchmarks Track},
  year={2023}
}
```