Add task category and sample usage

This PR improves the dataset card by adding the `task_categories` metadata and including a sample usage command for evaluation found in the official GitHub repository. It also includes a reference link to the paper on Hugging Face.

README.md

@@ -1,10 +1,12 @@
 ---
-license: cc-by-nc-sa-4.0
 language:
 - en
-pretty_name: MYRIAD-Physics
+license: cc-by-nc-sa-4.0
 size_categories:
 - n<1K
+task_categories:
+- other
+pretty_name: MYRIAD-Physics
 ---
 
 # MYRIAD-Physics
@@ -13,6 +15,7 @@ size_categories:
 [![Paper](https://img.shields.io/badge/Paper-CVPR%202026-red)](https://arxiv.org/abs/2604.09527)
 [![OWM Benchmark](https://img.shields.io/badge/Related-OWM--95-green)](https://huggingface.co/datasets/CompVis/owm-95)
 
+MYRIAD-Physics extends Physics-IQ and Physion with motion annotations and object tracks for evaluating probabilistic future trajectory forecasting under physical interactions. It was presented in the paper [Envisioning the Future, One Step at a Time](https://huggingface.co/papers/2604.09527).
 
 ## Abstract
 
@@ -31,6 +34,12 @@ We manually annotate relevant objects and the type of motion observed, and we us
 
 We provide code and instructions to download the dataset and run the MYRIAD evaluation in our [GitHub repository](https://github.com/CompVis/flow-poke-transformer).
 
+To run the benchmark evaluation for this dataset, you can use the following command:
+
+```shell
+python -m scripts.myriad_eval.openset_prediction --data-root path/to/data  --ckpt-path path/to/checkpoint --dataset-name [owm | physion | physics-iq]
+```
+
 ## Citation
 
 If you find our data or code useful, please cite our paper: