Make dataset release test-only

README.md

@@ -1,6 +1,6 @@
 ---
 license: cc-by-nc-4.0
-pretty_name: RoboJudge ICLR 2027 Train/Test Data
+pretty_name: RoboJudge-Bench
 task_categories:
 - video-classification
 - visual-question-answering
@@ -10,18 +10,18 @@ tags:
 - robojudge
 - embodied-ai
 - video-evaluation
+- benchmark
 ---
 
-# RoboJudge ICLR 2027 Train/Test Data
+# RoboJudge-Bench
 
-This dataset repository contains the released RoboJudge training and final test data.
+This dataset repository contains the RoboJudge-Bench test set.
 
 ## Files
 
-- `train/physical_adherence.json`: 12351 Physical Adherence training conversations.
-- `train/instruction_alignment.json`: 11520 Instruction Alignment training conversations.
-- `test/final800.jsonl`: 800 final benchmark examples with labels.
-- `metadata/summary.json`: row counts and dataset breakdown.
-- `metadata/dataset_info.json`: LLaMA-Factory dataset registry entries.
+- `data/test.jsonl`: 800 benchmark examples with human ratings and sub-scores.
+- `metadata/summary.json`: row counts and source breakdown.
+- `metadata/release_manifest.json`: file-level release manifest.
+- `metadata/release_manifest.csv`: CSV version of the release manifest.
 
-The training files use multimodal conversation format with video paths in the `videos` field. The test file contains `item_id`, dataset/model/task metadata, video URL fields, and RoboJudge benchmark labels.
+Each row in `data/test.jsonl` contains `item_id`, source/model/task metadata, video URL fields, Physical Adherence and Instruction Alignment ratings, and the six sub-scores used by the benchmark rubric.

metadata/release_manifest.csv

@@ -1,104 +1,6 @@
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+path,rows,format
+README.md,,dataset card
+metadata/summary.json,,metadata
+metadata/release_manifest.json,,metadata
+metadata/release_manifest.csv,,metadata
+data/test.jsonl,800,JSONL benchmark annotations

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+{
+  "repo": "HuggingFriends/RoboJudge-Bench",
+  "release_type": "test_only",
+  "files": [
+    {
+      "path": "README.md",
+      "description": "Dataset card"
+    },
+    {
+      "path": "metadata/summary.json",
+      "description": "Row counts and source breakdown"
+    },
+    {
+      "path": "metadata/release_manifest.json",
+      "description": "File-level release manifest"
+    },
+    {
+      "path": "metadata/release_manifest.csv",
+      "description": "CSV release manifest"
+    },
+    {
+      "path": "data/test.jsonl",
+      "rows": 800,
+      "description": "RoboJudge-Bench test set annotations"
+    }
+  ]
+}

metadata/summary.json

@@ -1,16 +1,8 @@
 {
-  "name": "RoboJudge ICLR 2027 train/test data",
-  "source_release_repo": "/mnt/bn/embodied-lf3/masiyuan/robojudge-iclr2027-github",
+  "name": "RoboJudge-Bench",
+  "description": "Test-only release of the RoboJudge-Bench benchmark.",
   "files": {
-    "train/physical_adherence.json": {
-      "rows": 12351,
-      "format": "LLaMA-Factory multimodal conversation JSON"
-    },
-    "train/instruction_alignment.json": {
-      "rows": 11520,
-      "format": "LLaMA-Factory multimodal conversation JSON"
-    },
-    "test/final800.jsonl": {
+    "data/test.jsonl": {
       "rows": 800,
       "format": "JSONL benchmark annotations"
     }