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README.md

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----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot) (commit [`12f5263`](https://github.com/huggingface/lerobot/commit/12f5263)).
+
+- **Homepage:** https://meituan.github.io/LIBERO-X/
+- **Paper:** https://arxiv.org/pdf/2602.06556
+- **License:** CC-BY-4.0
+
+## Dataset Description
+
+<font color="gray" style="text-decoration: underline;">Stay tuned for the full release!</font>
+
+
+LIBERO-X introduces finer-grained task-level extensions to expose models to diverse task formulations and workspace configurations, includeing 2,520 demonstrations, 600 tasks, and 100 scenes, ensuring broad generalization across diverse scenarios, featuring:
+
+- **Multi-Task Scene Design:**
+Each scene averages 6 distinct tasks, a significant increase compared to the original LIBERO dataset’s average of 2.6 tasks per scene, enabling more complex and realistic multi-objective learning.
+
+- **Attribute-Conditioned Manipulation:** 
+Actions are explicitly conditioned on fine-grained object properties (e.g., size, color, texture) beyond broad categories.
+
+- **Spatial Relationship Reasoning:** 
+Tasks extend beyond target localization to require understanding and reasoning about spatial relationships among objects, including left/right, front/back, and near/far.
+
+- **Human Demonstration Collection:**
+ All trajectories were human-collected via VR teleoperation using a Meta Quest 3.
+
+
+## Dataset Structure
+[meta/info.json](meta/info.json):
+```json
+{
+    "codebase_version": "v2.1",
+    "robot_type": "panda",
+    "total_episodes": 2520,
+    "total_frames": 889277,
+    "total_tasks": 428,
+    "total_videos": 0,
+    "total_chunks": 3,
+    "chunks_size": 1000,
+    "fps": 10,
+    "splits": {
+        "train": "0:2520"
+    },
+    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+    "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
+    "features": {
+        "image": {
+            "dtype": "image",
+            "shape": [
+                256,
+                256,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channel"
+            ]
+        },
+        "wrist_image": {
+            "dtype": "image",
+            "shape": [
+                256,
+                256,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channel"
+            ]
+        },
+        "state": {
+            "dtype": "float32",
+            "shape": [
+                8
+            ],
+            "names": [
+                "state"
+            ]
+        },
+        "actions": {
+            "dtype": "float32",
+            "shape": [
+                7
+            ],
+            "names": [
+                "actions"
+            ]
+        },
+        "timestamp": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "frame_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "episode_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "task_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        }
+    }
+}
+```
+
+
+
+
+## Citation
+
+```bibtex
+@article{wang2026libero,
+  title={LIBERO-X: Robustness Litmus for Vision-Language-Action Models},
+  author={Wang, Guodong and Zhang, Chenkai and Liu, Qingjie and Zhang, Jinjin and Cai, Jiancheng and Liu, Junjie and Liu, Xinmin},
+  journal={arXiv preprint arXiv:2602.06556},
+  year={2026}
+}
+```

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