Add robotics task category and improve dataset card

Hi! I'm Niels, part of the Hugging Face community science team. I've updated the dataset card to include the `robotics` task category in the metadata, as well as links to the paper, code repository, and project page. I've also added evaluation instructions from the GitHub README to provide sample usage for researchers.

README.md

@@ -1,14 +1,50 @@
 ---
 license: mit
+task_categories:
+- robotics
 ---
+
 <h2 align="center">
   <b>Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Exploration</b>
 
   <b><i> CVPR 2026</i></b>
-    [<a href="https://arxiv.org/abs/2601.10744">arXiv</a>]
 </h2>
 
-## LMEE-Bench
+[Paper](https://arxiv.org/abs/2601.10744) | [Project Page](https://wangsen99.github.io/papers/lmee/) | [GitHub](https://github.com/wangsen99/LMEE)
+
+LMEE-Bench is a benchmark for **Long-term Memory Embodied Exploration (LMEE)**. It is designed to evaluate an agent's exploratory cognition and decision-making behaviors by incorporating multi-goal navigation and memory-based question answering tasks.
+
+## Dataset Structure
+The benchmark consists of the following components:
   - `lmee_bench_sub`: Includes 58 tasks.
   - `lmee_bench`: Includes the full 166 tasks.
-  - `task_test`: Trajectory data test set.
+  - `task_test`: Trajectory data test set.
+
+## Sample Usage (Evaluation)
+
+To evaluate a model on LMEE-Bench, you can follow the instructions provided in the [official repository](https://github.com/wangsen99/LMEE).
+
+### 1. Reasoning
+Specify the paths in the configuration file `cfg/eval_lmee_bench.yaml` and execute the following command:
+
+```bash
+python run_lmee.py -cf cfg/eval_lmee_bench.yaml --answer_type open
+```
+- **answer_type**: Choose between `open` and `choice`.
+
+### 2. Evaluation
+After running the reasoning script, you will get a results file (e.g., `lmee_answer.json`). Use the following command to evaluate the question-answering performance:
+
+```bash
+python eval_lmee_bench.py --json_path "results/exp_eval_lmee/lmee_answer.json" --root_dir "../data/LMEE-Bench/task_test"
+```
+
+## Citation
+```bibtex
+@inproceedings{wang2026explore,
+  title={Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Exploration},
+  author={Wang, Sen and Liu, Bangwei and Gao, Zhenkun and Ma, Lizhuang and Wang, Xuhong and Xie, Yuan and Tan, Xin},
+  booktitle={Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition (CVPR)},
+  year={2026}
+}
+```