Update README.md

README.md

@@ -44,4 +44,53 @@ language:
 - es
 size_categories:
 - 1K<n<10K
----
+tags:
+- Image
+- Text
+- Multilingual
+---
+
+
+<a href="FIXME" target="_blank">
+    <img alt="arXiv" src="https://img.shields.io/badge/arXiv-traveling--across--languages-red?logo=arxiv" height="20" />
+</a>
+<a href="https://github.com/nlp-waseda/traveling-across-languages" target="_blank" style="display: inline-block; margin-right: 10px;">
+    <img alt="GitHub Code" src="https://img.shields.io/badge/Code-traveling--across--languages-white?&logo=github&logoColor=white" />
+</a>
+
+# VisRecall
+This repository contains the VisRecall benchmark, introduced in [Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs](FIXME). 
+
+## Dataset Description
+Imagine a tourist finished their journey in Japan and came back to France, eager to share the places they visited with their friends.
+When portraying these experiences, the visual information they convey is inherently independent of language, meaning that descriptions created in different languages should ideally be highly similar.
+This concept extends to MLLMs as well.
+While a model may demonstrate decent consistency in VQA tasks, any inconsistency in generation tasks would lead to a biased user experience (i.e., a knowing vs saying distinction).
+To assess the cross-lingual consistency of "visual memory" in MLLMs, we introduce VisRecall, a multilingual benchmark designed to evaluate visual description generation across 450 landmarks in 9 languages.
+
+The dataset contains the following fields:
+
+| Field Name               | Description                                                                 |
+| :----------------------- | :-------------------------------------------------------------------------- |
+| `landmark_id`            | Unique identifier for the landmark in the dataset.                         |
+| `domestic_language_code` | ISO 639 language code of the official language spoken in the country where the landmark is located. |
+| `language_code`          | ISO 639 language code of the prompt.                                       |
+| `country_code`           | ISO country code representing the location of the landmark.                |
+| `landmark_name`          | Name of the landmark used for evaluation.                                  |
+| `prompt_idx`             | Index of the prompt used. Each language includes two distinct prompts.     |
+
+Additionally, the following files are necessary for running evalutaion:
+| File Name             | Description                                                             |
+| :-------------------- | :---------------------------------------------------------------------- |
+| `images.tar.gz`       | Compressed archive containing images of landmarks, used for CLIPScore calculation. |
+| `images_list.json`    | List of image file paths included in the dataset.                       |
+| `landmark_list.json`  | Metadata for each landmark, including IDs, names, etc. |
+
+## Evaluation
+Please refer to our [GitHub repository](https://github.com/nlp-waseda/traveling-across-languages) for detailed information on the evaluation setup.
+
+## Citation
+
+```bibtex
+FIXME
+```