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README.md

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+
+---
+tags:
+- phosphobot
+- so100
+- phospho-dk
+task_categories:
+- robotics                                                   
+---
+
+# killybegs2
+
+**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
+
+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.
+
+To get started in robotics, [get your own phospho starter pack.](https://robots.phospho.ai).

data/chunk-000/episode_000000.parquet

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meta/episodes.jsonl

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+{"episode_index":0,"tasks":["place box in the center"],"length":345}

meta/episodes_stats.jsonl

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meta/info.json

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+{
+    "robot_type": "so-100",
+    "codebase_version": "v2.1",
+    "total_episodes": 1,
+    "total_frames": 345,
+    "total_tasks": 1,
+    "total_videos": 1,
+    "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": {
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+            "shape": [
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+            "names": [
+                "motor_1",
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+                "motor_6"
+            ]
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+        "observation.state": {
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+            "names": [
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+        "observation.images.main": {
+            "dtype": "video",
+            "shape": [
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+            "names": [
+                "height",
+                "width",
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+            "info": {
+                "video.fps": 30,
+                "video.codec": "mp4v",
+                "video.pix_fmt": "yuv420p",
+                "video.is_depth_map": false,
+                "has_audio": false
+            }
+        }
+    }
+}

meta/tasks.jsonl

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+{"task_index":0,"task":"place box in the center"}

videos/chunk-000/observation.images.main/episode_000000.mp4

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