Upload RoboJudge Bench train and test data

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+train/instruction_alignment.json filter=lfs diff=lfs merge=lfs -text
+train/physical_adherence.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,27 @@
+---
+license: cc-by-nc-4.0
+pretty_name: RoboJudge ICLR 2027 Train/Test Data
+task_categories:
+- video-classification
+- visual-question-answering
+language:
+- en
+tags:
+- robojudge
+- embodied-ai
+- video-evaluation
+---
+
+# RoboJudge ICLR 2027 Train/Test Data
+
+This dataset repository contains the released RoboJudge training and final test data.
+
+## 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.
+
+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.

metadata/dataset_info.json

@@ -0,0 +1,32 @@
+{
+  "physical_adherence": {
+    "file_name": "train/physical_adherence.json",
+    "formatting": "sharegpt",
+    "columns": {
+      "messages": "messages",
+      "videos": "videos"
+    },
+    "tags": {
+      "role_tag": "role",
+      "content_tag": "content",
+      "user_tag": "user",
+      "assistant_tag": "assistant",
+      "system_tag": "system"
+    }
+  },
+  "instruction_alignment": {
+    "file_name": "train/instruction_alignment.json",
+    "formatting": "sharegpt",
+    "columns": {
+      "messages": "messages",
+      "videos": "videos"
+    },
+    "tags": {
+      "role_tag": "role",
+      "content_tag": "content",
+      "user_tag": "user",
+      "assistant_tag": "assistant",
+      "system_tag": "system"
+    }
+  }
+}

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