Add AgentViSS dataset files

README.md

@@ -1,3 +1,92 @@
 ---
 license: mit
+pretty_name: AgentViSS
+language:
+- en
+size_categories:
+- n<1K
+tags:
+- multimodal
+- social-simulation
+- visual-social-intelligence
+- multi-agent-simulation
 ---
+
+# AgentViSS Dataset
+
+This repository contains the public data package for **AgentViSS: Can Agents
+Read the Room? Benchmarking Visual Social Intelligence in Multimodal
+Simulation**.
+
+## Files
+
+```text
+.
++-- README.md
++-- data.json
++-- images/
+    +-- scenario_001/
+    |   +-- group_labeled.png
+    |   +-- individual/
+    |       +-- character_01.jpg
+    |       +-- character_02.jpg
+    +-- ...
+```
+
+- `data.json` contains 240 AgentViSS records.
+- `images/` contains all image assets referenced by `data.json`.
+- Image paths in `data.json` are package-relative. Resolve them from the
+  dataset repository root.
+- All images are resized proportionally so that the longest edge is at most
+  512 pixels.
+
+## Dataset Structure
+
+Each record includes an anonymized scenario id, dialogue type, conflict level,
+characters, role-level information, goals, emotions, and image paths.
+
+Important image fields:
+
+- `group_image_labeled`: path to the scenario-level group image.
+- `individual_images`: mapping from character names to role portrait paths.
+
+Example:
+
+```json
+{
+  "id": "agentviss_low_01",
+  "source_scenario": "scenario_001",
+  "group_image_labeled": "images/scenario_001/group_labeled.png",
+  "individual_images": {
+    "CharacterName": "images/scenario_001/individual/character_01.jpg"
+  }
+}
+```
+
+The fields `base_json_path`, `group_image`, `background`, and
+`individual_informations.*.personality` are not included in this public data
+package.
+
+## Download
+
+Download the full dataset, including images, with `huggingface_hub`:
+
+```python
+import json
+from pathlib import Path
+from huggingface_hub import snapshot_download
+
+root = Path(snapshot_download(
+    repo_id="JunsWan/AgentViSS",
+    repo_type="dataset",
+))
+
+records = json.loads((root / "data.json").read_text(encoding="utf-8"))
+first_group_image = root / records[0]["group_image_labeled"]
+```
+
+You can also clone the repository:
+
+```bash
+git clone https://huggingface.co/datasets/JunsWan/AgentViSS
+```