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README.md

@@ -1,15 +1,162 @@
-
 ---
-tags:
-- phosphobot
-- so100
-- phospho-dk
+license: apache-2.0
 task_categories:
-- robotics                                                   
+- robotics
+tags:
+- LeRobot
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
 ---
 
-# pickplace
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
+
+## Dataset Description
+
+
+
+- **Homepage:** [More Information Needed]
+- **Paper:** [More Information Needed]
+- **License:** apache-2.0
+
+## Dataset Structure
+
+[meta/info.json](meta/info.json):
+```json
+{
+    "codebase_version": "v2.1",
+    "robot_type": "so100_follower",
+    "total_episodes": 1,
+    "total_frames": 268,
+    "total_tasks": 1,
+    "total_videos": 2,
+    "total_chunks": 1,
+    "chunks_size": 1000,
+    "fps": 30,
+    "splits": {
+        "train": "0:1"
+    },
+    "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": {
+        "action": {
+            "dtype": "float32",
+            "shape": [
+                6
+            ],
+            "names": [
+                "shoulder_pan.pos",
+                "shoulder_lift.pos",
+                "elbow_flex.pos",
+                "wrist_flex.pos",
+                "wrist_roll.pos",
+                "gripper.pos"
+            ]
+        },
+        "observation.state": {
+            "dtype": "float32",
+            "shape": [
+                6
+            ],
+            "names": [
+                "shoulder_pan.pos",
+                "shoulder_lift.pos",
+                "elbow_flex.pos",
+                "wrist_flex.pos",
+                "wrist_roll.pos",
+                "gripper.pos"
+            ]
+        },
+        "observation.images.top": {
+            "dtype": "video",
+            "shape": [
+                720,
+                1280,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "info": {
+                "video.height": 720,
+                "video.width": 1280,
+                "video.codec": "av1",
+                "video.pix_fmt": "yuv420p",
+                "video.is_depth_map": false,
+                "video.fps": 30,
+                "video.channels": 3,
+                "has_audio": false
+            }
+        },
+        "observation.images.side": {
+            "dtype": "video",
+            "shape": [
+                720,
+                1280,
+                3
+            ],
+            "names": [
+                "height",
+                "width",
+                "channels"
+            ],
+            "info": {
+                "video.height": 720,
+                "video.width": 1280,
+                "video.codec": "av1",
+                "video.pix_fmt": "yuv420p",
+                "video.is_depth_map": false,
+                "video.fps": 30,
+                "video.channels": 3,
+                "has_audio": false
+            }
+        },
+        "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
 
-**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
+**BibTeX:**
 
-This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
+```bibtex
+[More Information Needed]
+```

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meta/info.json

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 {
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+    "robot_type": "so100_follower",
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                 6
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meta/tasks.jsonl

@@ -1 +1 @@
-{"task_index":0,"task":"Pick items on table and drop in the tray"}
+{"task_index":0,"task":"Put the black box in the bowl"}