Add task categories and metadata

README.md

@@ -1,7 +1,12 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
+task_categories:
+- text-generation
+tags:
+- chemistry
+- molecule-generation
 dataset_info:
   config_name: OpenMolIns-xlarge
   size: 1200000
@@ -9,6 +14,8 @@ dataset_info:
 
 # OpenMolIns Instruction Tuning Dataset (XLarge)
 
+[[Paper](https://huggingface.co/papers/2412.14642)] [[Project Page](https://phenixace.github.io/tomgbench/)] [[GitHub](https://github.com/phenixace/S2-TOMG-Bench)]
+
 Instruction tuning dataset for **Open-domain Natural Language-Driven Molecule Generation**, aligned with [S²-Bench (TOMG)](https://phenixace.github.io/tomgbench/).
 
 This is the **xlarge** variant with **1,200,000** instruction–molecule pairs.
@@ -68,7 +75,7 @@ If you use this dataset, please cite:
 @article{li2024speak,
   title={Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation},
   author={Li, Jiatong and Li, Junxian and Liu, Yunqing and Zheng, Changmeng and Wei, Xiaoyong and Zhou, Dongzhan and Li, Qing},
-  journal={arXiv preprint arXiv:2412.14642v3},
+  journal={arXiv preprint arXiv:2412.14642},
   year={2024}
 }
 ```
@@ -77,4 +84,4 @@ If you use this dataset, please cite:
 
 - [S²-Bench / TOMG Benchmark](https://phenixace.github.io/tomgbench/)
 - [S2-TOMG-Bench GitHub](https://github.com/phenixace/S2-TOMG-Bench)
-- [S²-Bench Dataset on Hugging Face](https://huggingface.co/datasets/phenixace/S2-TOMG-Bench)
+- [S²-Bench Dataset on Hugging Face](https://huggingface.co/datasets/phenixace/S2-TOMG-Bench)