Update README.md

README.md

@@ -9,9 +9,18 @@ size_categories:
 
 # MMInA: Benchmarking Multihop Multimodal Internet Agents Dataset
 
-## Instructions:
+# [MMInA] Dataset Card
 
-The dataset consists 6 folders.
+MMInA is a multihop and multimodal benchmark to evaluate the embodied agents for compositional Internet tasks.
+
+
+## Dataset Details
+
+This dataset consists of 6 folders involving 1,050 multihop tasks over 14 evolving websites.
+For each task, the intent with reference answer is provided in the JSON file, as well as the required information.
+
+
+### Dataset Subfolders Explanation
 
 - **normal:** 176 tasks. All of them are 2-hop or 3-hop tasks.
 
@@ -25,6 +34,7 @@ The dataset consists 6 folders.
 
 - **wikipedia:** 308 tasks. All tasks here are limited in wikipedia. Some are comparable tasks and others are simple. (108 tasks of them are filtered from [WebQA])
 
+
 ***"task_id"*** indicates the position of this task within the current folder.
 
 ***"start_url"*** is the webpage provided to the agent for initial access.
@@ -33,4 +43,45 @@ The dataset consists 6 folders.
 
 ***"procedure"*** refers to the evaluation method used in multi-hop tasks. (as mentioned in our paper)
 
-For single-hop tasks, its evaluation method is reflected in ***'eval_types'***, and a reference answer is provided.
+For single-hop tasks, its evaluation method is reflected in ***'eval_types'***, and a reference answer is provided.
+
+### Dataset Sources
+
+- **Repository:** [https://github.com/shulin16/MMInA](https://github.com/shulin16/MMInA)
+- **Paper:** [https://arxiv.org/abs/2404.09992](https://arxiv.org/abs/2404.09992)
+
+
+## Uses
+
+The intended use of this dataset is to evaluate large language model (LLM) agents on their tool-use abilities for multihop multi-modal tasks.
+
+### Direct Use
+
+To use this dataset, you should first select your model (either LLM or VLM) as an agent in code format, and implement it within the [pre-setup environment](https://github.com/shulin16/MMInA).
+You can use this dataset together with the environment to evaluate your agents ability in compositional multihop Internet tasks.
+
+### Out-of-Scope Use
+
+This is a benchmark dataset for evaluation purposes only. Not suitable for training agent models.
+
+
+## Bias, Risks, and Limitations
+
+This dataset has the following limitations: 
+- The evaluation for Wikipedia-related questions are not well-defined due to the explainability of LLM/VLM.
+
+## Citation
+
+
+**BibTeX:**
+
+```
+@misc{zhang2024mmina,
+        title={MMInA: Benchmarking Multihop Multimodal Internet Agents}, 
+        author={Ziniu Zhang and Shulin Tian and Liangyu Chen and Ziwei Liu},
+        year={2024},
+        eprint={2404.09992},
+        archivePrefix={arXiv},
+        primaryClass={cs.CV}
+  }
+```