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README.md

@@ -1,163 +1,17 @@
+
 ---
-license: apache-2.0
-task_categories:
-- robotics
 tags:
-- LeRobot
-configs:
-- config_name: default
-  data_files: data/*/*.parquet
+- phosphobot
+- so100
+- phospho-dk
+task_categories:
+- robotics                                                   
 ---
 
-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
-{
-    "robot_type": "so-100",
-    "codebase_version": "v3.0",
-    "total_episodes": 37,
-    "total_frames": 21432,
-    "total_tasks": 1,
-    "chunks_size": 1000,
-    "fps": 30,
-    "splits": {
-        "train": "0:37"
-    },
-    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
-    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
-    "features": {
-        "action": {
-            "dtype": "float32",
-            "shape": [
-                6
-            ],
-            "names": [
-                "motor_1",
-                "motor_2",
-                "motor_3",
-                "motor_4",
-                "motor_5",
-                "motor_6"
-            ],
-            "fps": 30
-        },
-        "observation.state": {
-            "dtype": "float32",
-            "shape": [
-                6
-            ],
-            "names": [
-                "motor_1",
-                "motor_2",
-                "motor_3",
-                "motor_4",
-                "motor_5",
-                "motor_6"
-            ],
-            "fps": 30
-        },
-        "timestamp": {
-            "dtype": "float32",
-            "shape": [
-                1
-            ],
-            "names": null,
-            "fps": 30
-        },
-        "episode_index": {
-            "dtype": "int64",
-            "shape": [
-                1
-            ],
-            "names": null,
-            "fps": 30
-        },
-        "frame_index": {
-            "dtype": "int64",
-            "shape": [
-                1
-            ],
-            "names": null,
-            "fps": 30
-        },
-        "task_index": {
-            "dtype": "int64",
-            "shape": [
-                1
-            ],
-            "names": null,
-            "fps": 30
-        },
-        "index": {
-            "dtype": "int64",
-            "shape": [
-                1
-            ],
-            "names": null,
-            "fps": 30
-        },
-        "observation.images.main": {
-            "dtype": "video",
-            "shape": [
-                480,
-                640,
-                3
-            ],
-            "names": [
-                "height",
-                "width",
-                "channel"
-            ],
-            "info": {
-                "video.fps": 30,
-                "video.codec": "mp4v",
-                "video.pix_fmt": "yuv420p",
-                "video.is_depth_map": false,
-                "has_audio": false
-            }
-        },
-        "observation.images.secondary_0": {
-            "dtype": "video",
-            "shape": [
-                480,
-                640,
-                3
-            ],
-            "names": [
-                "height",
-                "width",
-                "channel"
-            ],
-            "info": {
-                "video.fps": 30,
-                "video.codec": "mp4v",
-                "video.pix_fmt": "yuv420p",
-                "video.is_depth_map": false,
-                "has_audio": false
-            }
-        }
-    },
-    "data_files_size_in_mb": 100,
-    "video_files_size_in_mb": 500
-}
-```
-
+# dataset1
 
-## Citation
+**This dataset was generated using [phosphobot](https://docs.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.
 
-```bibtex
-[More Information Needed]
-```
+To get started in robotics, [get your own phospho starter pack.](https://robots.phospho.ai).

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meta/info.json

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 {
     "robot_type": "so-100",
-    "codebase_version": "v3.0",
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-    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
+    "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",
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@@ -24,8 +26,7 @@
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@@ -39,48 +40,42 @@
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-    "data_files_size_in_mb": 100,
-    "video_files_size_in_mb": 500
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 }

meta/tasks.jsonl

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+{"task_index":0,"task":"When a red dot is shown: pick the bottle from the bottle support, put it on the red dot without releasing and then back in the bottle support."}

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