Configure dataset viewer table

README.md

@@ -10,6 +10,11 @@ tags:
 - social-simulation
 - visual-social-intelligence
 - multi-agent-simulation
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.jsonl
 ---
 
 # AgentViSS Dataset
@@ -23,6 +28,7 @@ Simulation**.
 ```text
 .
 +-- README.md
++-- train.jsonl
 +-- data.json
 +-- images/
     +-- scenario_001/
@@ -33,7 +39,9 @@ Simulation**.
     +-- ...
 ```
 
-- `data.json` contains 240 AgentViSS records.
+- `train.jsonl` is a viewer-friendly table with 240 AgentViSS records. It
+  exposes key fields from `data.json` and keeps image path columns at the end.
+- `data.json` contains the canonical full 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.
@@ -45,6 +53,10 @@ Simulation**.
 Each record includes an anonymized scenario id, dialogue type, conflict level,
 characters, role-level information, goals, emotions, and image paths.
 
+The Hugging Face Dataset Viewer is configured to read `train.jsonl` rather than
+the raw `images/` directory. This keeps the viewer organized around the 240
+scenario records instead of displaying the 282 image files as separate rows.
+
 Important image fields:
 
 - `group_image_labeled`: path to the scenario-level group image.
@@ -85,6 +97,22 @@ records = json.loads((root / "data.json").read_text(encoding="utf-8"))
 first_group_image = root / records[0]["group_image_labeled"]
 ```
 
+For the flattened viewer table:
+
+```python
+import json
+from pathlib import Path
+from huggingface_hub import snapshot_download
+
+root = Path(snapshot_download(
+    repo_id="JunsWan/AgentViSS",
+    repo_type="dataset",
+))
+
+with (root / "train.jsonl").open(encoding="utf-8") as f:
+    rows = [json.loads(line) for line in f]
+```
+
 You can also clone the repository:
 
 ```bash