Rename dataset: new title and repo id

README.md

@@ -6,7 +6,7 @@ size_categories:
 - 100K<n<1M
 task_categories:
 - robotics
-pretty_name: Argus labels for five robot datasets
+pretty_name: Dense Argus Annotations for 5,000+ Hours of Open Robot Manipulation Data
 tags:
 - robotics
 - argus
@@ -2696,9 +2696,9 @@ dataset_info:
       dtype: string
 ---
 
-# Argus labels for five robot datasets
+# Dense Argus Annotations for 5,000+ Hours of Open Robot Manipulation Data
 
-<video src="https://huggingface.co/datasets/nkalyanv/argus-teleop-labels/resolve/main/assets/argus_labels_overview.mp4"
+<video src="https://huggingface.co/datasets/nkalyanv/argus-robot-annotations/resolve/main/assets/argus_labels_overview.mp4"
        controls autoplay muted loop playsinline width="100%"></video>
 
 Episode-level annotations for **290,026 teleoperated robot episodes (about 5,146 hours)** from five public datasets,
@@ -2728,7 +2728,7 @@ then reversed within the episode.
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("nkalyanv/argus-teleop-labels", "gm100_cobotmagic", split="train")
+ds = load_dataset("nkalyanv/argus-robot-annotations", "gm100_cobotmagic", split="train")
 ep = ds[0]
 print(ep["episode_prompt"], ep["completion"]["task_completed"])
 ```
@@ -2742,7 +2742,7 @@ import json
 from pathlib import Path
 from huggingface_hub import snapshot_download
 
-root = snapshot_download("nkalyanv/argus-teleop-labels", repo_type="dataset", allow_patterns=["data/droid/*"])
+root = snapshot_download("nkalyanv/argus-robot-annotations", repo_type="dataset", allow_patterns=["data/droid/*"])
 episodes = [json.loads(line) for p in sorted(Path(root, "data/droid").glob("*.jsonl")) for line in open(p)]
 ```