Improve dataset card: add metadata, links, description, and sample usage

Hi! I'm Niels from the Hugging Face community science team. This pull request improves the dataset card for MIRAGE by:
- Updating metadata with the correct task category (`image-text-to-text`) and license (`cc-by-sa-4.0`).
- Adding links to the research paper, project page, and GitHub repository.
- Providing a summary of the benchmark's components (MMST and MMMT).
- Including a sample usage section with the `datasets` library as found in the official repository.
- Adding the BibTeX citation.

README.md

@@ -1,18 +1,19 @@
 ---
-metadata:
-  license: apache-2.0
-  language:
-  - en
+language:
+- en
+license: cc-by-sa-4.0
+size_categories:
+- 10K<n<100K
+task_categories:
+- image-text-to-text
 dataset_info:
 - config_name: MMST_Standard
-  description: |
-    MIRAGE-MMST Standard Configuration: standard benchmark (train + test).
-  citation: |
-    @misc{mirage2025,
-      title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
-      author={},
-      year={2025},
-    }
+  description: 'MIRAGE-MMST Standard Configuration: standard benchmark (train + test).
+
+    '
+  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
+    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
+    \  year={2025},\n}\n"
   features:
   - name: id
     dtype: string
@@ -49,14 +50,12 @@ dataset_info:
   - name: test
     num_examples: 8188
 - config_name: MMST_Contextual
-  description: |
-    MIRAGE-MMST Contextual Configuration: contextual benchmark (test only).
-  citation: |
-    @misc{mirage2025,
-      title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
-      author={},
-      year={2025},
-    }
+  description: 'MIRAGE-MMST Contextual Configuration: contextual benchmark (test only).
+
+    '
+  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
+    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
+    \  year={2025},\n}\n"
   features:
   - name: id
     dtype: string
@@ -99,15 +98,13 @@ dataset_info:
   - name: test
     num_examples: 3934
 - config_name: MMMT_Direct
-  description: >
-    MIRAGE-MMMT Direct Configuration: direct-response dialog benchmark with
-    three splits (train, dev, test).
-  citation: |
-    @misc{mirage2025,
-      title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
-      author={},
-      year={2025},
-    }
+  description: 'MIRAGE-MMMT Direct Configuration: direct-response dialog benchmark
+    with three splits (train, dev, test).
+
+    '
+  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
+    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
+    \  year={2025},\n}\n"
   features:
   - name: id
     dtype: string
@@ -133,15 +130,13 @@ dataset_info:
   - name: test
     num_examples: 861
 - config_name: MMMT_Decomp
-  description: >
-    MIRAGE-MMMT Decomp Configuration: decomposed-dialog benchmark, with
+  description: 'MIRAGE-MMMT Decomp Configuration: decomposed-dialog benchmark, with
     known/missing goals.
-  citation: |
-    @misc{mirage2025,
-      title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
-      author={},
-      year={2025},
-    }
+
+    '
+  citation: "@misc{mirage2025,\n  title={MIRAGE: A Benchmark for Multimodal Information-Seeking\
+    \ and Reasoning in Agricultural Expert-Guided Conversations},\n  author={},\n\
+    \  year={2025},\n}\n"
   features:
   - name: id
     dtype: string
@@ -199,11 +194,6 @@ configs:
     path: MMMT_Decomp/dev/*.arrow
   - split: test
     path: MMMT_Decomp/test/*.arrow
-license: cc
-task_categories:
-- visual-question-answering
-language:
-- en
 modalities:
 - Image
 - Text
@@ -211,6 +201,51 @@ tags:
 - biology
 - agriculture
 - Long-Form Question Answering
-size_categories:
-- 10K<n<100K
----
+---
+
+# MIRAGE Benchmark
+
+[**Project Page**](https://mirage-benchmark.github.io/) | [**Paper**](https://huggingface.co/papers/2506.20100) | [**GitHub**](https://github.com/MIRAGE-Benchmark/MIRAGE-Benchmark)
+
+MIRAGE is a benchmark for multimodal expert-level reasoning and decision-making in consultative interaction settings, specifically designed for the agriculture domain. It captures the complexity of expert consultations by combining natural user queries, expert-authored responses, and image-based context.
+
+The benchmark spans diverse crop health, pest diagnosis, and crop management scenarios, including more than 7,000 unique biological entities.
+
+## Overview
+
+The benchmark consists of two main components:
+- **MMST (Multi-Modal Single-Turn)**: Single-turn multimodal reasoning tasks.
+- **MMMT (Multi-Modal Multi-Turn)**: Multi-turn conversational tasks with visual context.
+
+## Sample Usage
+
+You can load the various configurations of the dataset using the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load MMST datasets
+ds_standard = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMST_Standard")
+ds_contextual = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMST_Contextual")
+
+# Load MMMT dataset
+ds_mmmt_direct = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMMT_Direct")
+ds_mmmt_decomp = load_dataset("MIRAGE-Benchmark/MIRAGE", "MMMT_Decomp")
+```
+
+## Citation
+
+If you use our benchmark in your research, please cite our paper:
+
+```bibtex
+@article{dongre2025mirage,
+  title={MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations},
+  author={Dongre, Vardhan and Gui, Chi and Garg, Shubham and Nayyeri, Hooshang and Tur, Gokhan and Hakkani-T{\"{u}}r, Dilek and Adve, Vikram S},
+  journal={arXiv preprint arXiv:2506.20100},
+  year={2025}
+}
+```
+
+## License
+
+This project is licensed under the [Creative Commons Attribution-ShareAlike 4.0 International License (CC-BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/).