Add dataset card, link to paper

This PR adds a dataset card for TouchSafeBench, including the `video-text-to-text` task category and links to the paper, project page, and code repository. It also adds a short description of the benchmark and its two evaluation tasks.

README.md

@@ -1,3 +1,23 @@
 ---
 license: mit
+task_categories:
+- video-text-to-text
+tags:
+- robotics
+- human-robot-interaction
+- safety
 ---
+
+# TouchSafeBench
+
+This repository contains the data presented in [Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration](https://huggingface.co/papers/2605.31196).
+
+TouchSafeBench is a physics-grounded benchmark for evaluating collision grounding in vision-language models (VLMs). Built in Habitat 3.0, it contains 2,940 simulated indoor co-presence episodes across social navigation and social rearrangement, with synchronized multi-view RGB-D observations, top-down trajectory maps, calibrated camera metadata, and simulator-derived contact labels.
+
+- Project page: https://jun25336-bit.github.io/TouchSafeBench/
+- Code: https://github.com/jun25336-bit/TouchSafeBench
+
+The benchmark supports two deployment-facing tasks:
+
+- Safety event classification: no event, scene collision, or human collision risk.
+- Collision warning: no risk, operational hazard, or catastrophic risk.