Datasets:

ExylosAi
/

bimanual-table-cleanup-cross-embodiment-rich-modality-sample

@@ -1,7 +1,7 @@
 ---
 language:
 - en
-pretty_name: XRSC Bimanual Table Cleanup — Panda + WidowXAI — 10-Episode Inspection Sample
 size_categories:
 - 10K<n<100K
 task_categories:
@@ -45,11 +45,11 @@ tags:
 - inspection-sample
 ---
-# XRSC Bimanual Table Cleanup — Panda + WidowXAI — 10-Episode Inspection Sample
 > **10 episodes total: 5 Franka Panda + 5 WidowXAI.** A deliberately small, quality-diverse inspection sample for clearing an optional obstruction and wiping a dirty tabletop with a sponge. Each robot keeps its native LeRobot v2.1 schema in a separate Viewer config. RGB, metric depth, instance segmentation, robot state/action, end-effector trajectories, object poses, and QA annotations are included.
-<img src="assets/dataset_preview.gif" alt="XRSC Bimanual Table Cleanup episode and modality preview" width="960">
 ## ✅ Use it / ❌ Skip it
@@ -87,7 +87,7 @@ The robot frame schemas are intentionally separate. Select the embodiment explic
 ```python
 from datasets import load_dataset
-repo = "ExylosAi/xrsc-cleanup-table-bimanual-inspection-sample"
 panda = load_dataset(repo, name="panda", split="train")
 widowxai = load_dataset(repo, name="widowxai", split="train")
@@ -105,7 +105,7 @@ from huggingface_hub import hf_hub_download
 import pyarrow.parquet as pq
 path = hf_hub_download(
-    "ExylosAi/xrsc-cleanup-table-bimanual-inspection-sample",
     "robots/panda/data/chunk-000/episode_000000.parquet",
     repo_type="dataset",
 )

 ---
 language:
 - en
+pretty_name: Cross-Embodiment Bimanual Table Cleanup — Rich-Modality 10-Episode Inspection Sample
 size_categories:
 - 10K<n<100K
 task_categories:
 - inspection-sample
 ---
+# Cross-Embodiment Bimanual Table Cleanup — Rich-Modality 10-Episode Inspection Sample
 > **10 episodes total: 5 Franka Panda + 5 WidowXAI.** A deliberately small, quality-diverse inspection sample for clearing an optional obstruction and wiping a dirty tabletop with a sponge. Each robot keeps its native LeRobot v2.1 schema in a separate Viewer config. RGB, metric depth, instance segmentation, robot state/action, end-effector trajectories, object poses, and QA annotations are included.
+<img src="assets/dataset_preview.gif" alt="Cross-embodiment bimanual table cleanup rich-modality preview" width="960">
 ## ✅ Use it / ❌ Skip it
 ```python
 from datasets import load_dataset
+repo = "ExylosAi/bimanual-table-cleanup-cross-embodiment-rich-modality-sample"
 panda = load_dataset(repo, name="panda", split="train")
 widowxai = load_dataset(repo, name="widowxai", split="train")
 import pyarrow.parquet as pq
 path = hf_hub_download(
+    "ExylosAi/bimanual-table-cleanup-cross-embodiment-rich-modality-sample",
     "robots/panda/data/chunk-000/episode_000000.parquet",
     repo_type="dataset",
 )

viewer_videos/train.parquet CHANGED Viewed

@@ -1,3 +1,3 @@
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-size 6267

 version https://git-lfs.github.com/spec/v1
+oid sha256:67a47bbec191907c113e0eedc05dfc3de7bbcb83714e23d207e5d73e454274c4
+size 6336