Update README.md

README.md

@@ -1,25 +1,37 @@
 ---
 configs:
-- config_name: bridgev2
-  data_files:
-  - split: benchmark
-    path: bridgev2/bridgev2_benchmark_qa_pairs.json
-- config_name: robovqa
-  data_files:
-  - split: benchmark
-    path: robovqa/robovqa_benchmark_qa_pairs.json
 - config_name: agibot
   data_files:
-  - split: benchmark
-    path: agibot/agibot_benchmark_qa_pairs.json
+  - split: understanding
+    path: agibot/agibot_understanding.json
+  - split: reasoning
+    path: agibot/agibot_reasoning.json
+- config_name: bridgev2
+  data_files:
+  - split: understanding
+    path: bridgev2/bridgev2_understanding.json
+  - split: reasoning
+    path: bridgev2/bridgev2_reasoning.json
 - config_name: holoassist
   data_files:
-  - split: benchmark
-    path: holoassist/holoassist_benchmark_qa_pairs.json
-- config_name: robofail
+  - split: understanding
+    path: holoassist/holoassist_understanding.json
+  - split: reasoning
+    path: holoassist/holoassist_reasoning.json
+- config_name: robovqa
   data_files:
-  - split: benchmark
-    path: robofail/robofail_benchmark_qa_pairs.json
+  - split: understanding
+    path: robovqa/robovqa_understanding.json
+  - split: reasoning_0
+    path: robovqa/robovqa_reasoning_0.json
+  - split: reasoning_1
+    path: robovqa/robovqa_reasoning_1.json
+  - split: reasoning_2
+    path: robovqa/robovqa_reasoning_2.json
+  - split: reasoning_3
+    path: robovqa/robovqa_reasoning_3.json
+  - split: reasoning_4
+    path: robovqa/robovqa_reasoning_4.json
 language:
 - en
 task_categories:
@@ -30,6 +42,7 @@ tags:
 license: cc-by-4.0
 ---
 
+
 ## Dataset Description:
 
 The data format is a pair of video and text annotations. We summarize the data and annotations in Table 4 (SFT), Table 5 (RL), and Table 6 (Benchmark) of the Cosmos-Reason1 paper. ​​ We release the annotations for embodied reasoning tasks for BridgeDatav2, RoboVQA, Agibot, HoloAssist, AV, and the videos for the RoboVQA and AV datasets. We additionally release the annotations and videos for the RoboFail dataset for benchmarks. By releasing the dataset, NVIDIA supports the development of open embodied reasoning models and provides benchmarks to evaluate the progress. 
@@ -50,6 +63,7 @@ This dataset is intended to demonstrate and facilitate understanding and usage o
 
 ## Dataset Characterization
 The embodied reasoning datasets and benchmarks focus on the following areas: robotics (RoboVQA, BridgeDataV2, Agibot, RobFail), ego-centric human demonstration (HoloAssist), and Autonomous Vehicle (AV) driving video data.
+**The AV data is currently unavailable and will be uploaded soon!**
 
 **Data Collection Method**:
 * RoboVQA:  Hybrid:  Automatic/Sensors