diff --git a/src/lerobot/policies/pi05_full/annotate/annotate_libero.sh b/src/lerobot/policies/pi05_full/annotate/annotate_libero.sh
index 0e5a3d8f0..cd2d61bec 100644
--- a/src/lerobot/policies/pi05_full/annotate/annotate_libero.sh
+++ b/src/lerobot/policies/pi05_full/annotate/annotate_libero.sh
@@ -4,25 +4,25 @@
 # This generates user prompts and robot utterances for hierarchical policy training
 
 # Configuration
-REPO_ID="lerobot/libero_video"
+REPO_ID="lerobot/libero_10"
 MODEL="Qwen/Qwen3-VL-30B-A3B-Instruct"
 # or: MODEL="Qwen/Qwen2-VL-7B-Instruct"
 
 
-OUTPUT_DIR="/fsx/jade_choghari/outputs/libero-annotate"
+OUTPUT_DIR="/fsx/jade_choghari/outputs/libero-10-annotate-high"
 
 BATCH_SIZE=16
 TEMPERATURE=0.9
 SAMPLE_INTERVAL=5.0  # generate dialogue every 1 second (all episodes processed)
 
 # Run subtask annotation
-python /admin/home/jade_choghari/lerobot/src/lerobot/policies/pi05_full/annotate/subtask_annotate.py \
-    --repo-id "$REPO_ID" \
-    --video-key observation.images.image \
-    --output-dir "$OUTPUT_DIR" \
-    --skip-existing \
-    --output-repo-id "jadechoghari/libero-annotate" \
-    --batch-size "$BATCH_SIZE" \
+# python /admin/home/jade_choghari/lerobot/src/lerobot/policies/pi05_full/annotate/subtask_annotate.py \
+#     --repo-id "$REPO_ID" \
+#     --video-key observation.images.image \
+#     --output-dir "$OUTPUT_DIR" \
+#     --skip-existing \
+#     --output-repo-id "jadechoghari/libero10-annotate" \
+#     --batch-size "$BATCH_SIZE" \
 # run synthetic data generation (all episodes processed)
 # python examples/dataset/annotate_pgen.py \
 #     --repo-id "$REPO_ID" \
@@ -41,10 +41,10 @@ python /admin/home/jade_choghari/lerobot/src/lerobot/policies/pi05_full/annotate
 # add --push-to-hub flag
 
 # efficient batch processing: 4 episodes at once
-# python /admin/home/jade_choghari/lerobot/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py \
-#     --repo-id "$REPO_ID" \
-#     --output-dir "$OUTPUT_DIR" \
-#     --video-mode \
-#     --video-key observation.images.image \
-#     --video-batch-size "$BATCH_SIZE" \
-#     --sample-interval 5.0
+python /admin/home/jade_choghari/lerobot/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py \
+    --data-dir "/fsx/jade_choghari/outputs/libero-10-annotate" \
+    --output-dir "$OUTPUT_DIR" \
+    --video-mode \
+    --video-key observation.images.image \
+    --video-batch-size "$BATCH_SIZE" \
+    --sample-interval 5.0
diff --git a/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py b/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py
index d00931a4d..a37d4b6fa 100644
--- a/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py
+++ b/src/lerobot/policies/pi05_full/annotate/high_level_annotate.py
@@ -769,7 +769,6 @@ def _parse_video_response(response: str, timestamps_with_skills: list[dict]) ->
                 })
             return results
         
-        breakpoint()
         # Fallback: return empty results for each timestamp
         print(f"Warning: Could not parse video response: {response[:200]}...")
         return [
diff --git a/src/lerobot/policies/pi05_full/annotate/load_lerobot_high.py b/src/lerobot/policies/pi05_full/annotate/load_lerobot_high.py
index 0c6011c20..681fe72e8 100644
--- a/src/lerobot/policies/pi05_full/annotate/load_lerobot_high.py
+++ b/src/lerobot/policies/pi05_full/annotate/load_lerobot_high.py
@@ -4,7 +4,7 @@ from huggingface_hub import HfApi
 import lerobot
 from lerobot.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata
 
-dataset = LeRobotDataset(repo_id="local", root="/fsx/jade_choghari/outputs/pgen_annotations1")
+dataset = LeRobotDataset(repo_id="local", root="/fsx/jade_choghari/.cache/huggingface/lerobot/lerobot/libero_10/")
 
 dataloader = torch.utils.data.DataLoader(
         dataset,
@@ -23,9 +23,9 @@ print(batch['task'][0])
 
 
 # read this parquet /fsx/jade_choghari/outputs/pgen_annotations1/meta/tasks.parquett
-import pandas as pd
-tasks_df = pd.read_parquet('/fsx/jade_choghari/outputs/pgen_annotations1/meta/tasks.parquet')
+# import pandas as pd
+# tasks_df = pd.read_parquet('/fsx/jade_choghari/outputs/pgen_annotations1/meta/tasks.parquet')
 
-# print all
-print(tasks_df.columns)
-breakpoint()
\ No newline at end of file
+# # print all
+# print(tasks_df.columns)
+# breakpoint()
\ No newline at end of file