Episodes Preview PiPER Visualizer
30 episodes · 30 fps · 3 cameras · 1280×720 av1

This dataset was created using LeRobot.

Dataset Description

Recorded at 30 Hz with the barcode scanners read by the recorder: scan.barcode holds the barcode read just before each frame (0 = none). flare convert --stage starts stage 1 at the first scan of a registered barcode (a misread of one counts); 0b (a left release before the scan) is found at conversion, see the converted dataset.

episode length stage 1 starts (first scan) all scans (frame: item)
0 47.7 s (1430) 29.3 s (frame 880) 880: can
1 49.9 s (1497) 34.1 s (frame 1023) 1023: coffee
2 30.8 s (924) 12.2 s (frame 365) 365: spam
3 57.6 s (1729) 39.4 s (frame 1183) 1183: can
4 55.8 s (1674) 40.4 s (frame 1212) 1212: coffee
5 45.0 s (1351) 34.9 s (frame 1048) 1048: spam
6 45.5 s (1366) 27.4 s (frame 822) 822: can
7 48.2 s (1447) 33.6 s (frame 1009) 1009: coffee
8 32.9 s (986) 13.6 s (frame 407) 407: spam
9 50.9 s (1527) 34.8 s (frame 1045) 1045: can
10 57.6 s (1728) 42.1 s (frame 1262) 1262: coffee
11 45.3 s (1360) 36.1 s (frame 1083) 1083: spam
12 39.6 s (1188) 23.1 s (frame 692) 692: can
13 38.8 s (1164) 22.3 s (frame 669) 669: coffee
14 31.5 s (945) 12.8 s (frame 385) 385: spam
15 48.6 s (1458) 28.4 s (frame 851) 851: can
16 49.7 s (1490) 33.8 s (frame 1014) 1014: coffee
17 46.2 s (1385) 35.4 s (frame 1063) 1063: spam
18 42.6 s (1279) 23.1 s (frame 692) 692: can
19 47.7 s (1430) 33.4 s (frame 1003) 1003: coffee
20 32.3 s (969) 12.6 s (frame 379) 379: spam
21 55.2 s (1656) 35.7 s (frame 1072) 1072: can
22 54.0 s (1619) 39.7 s (frame 1192) 1192: coffee
23 43.6 s (1308) 33.8 s (frame 1014) 1014: spam
24 41.0 s (1231) 24.3 s (frame 728) 728: can
25 47.0 s (1411) 31.4 s (frame 941) 941: coffee
26 29.1 s (872) 10.5 s (frame 314) 314: spam
27 54.5 s (1636) 36.4 s (frame 1092) 1092: can
28 55.2 s (1655) 39.3 s (frame 1179) 1179: coffee
29 44.2 s (1326) 35.2 s (frame 1056) 1056: spam

Every raw read (both scanners, duplicates included) is in scan_log.csv.

  • Homepage: [More Information Needed]
  • Paper: [More Information Needed]
  • License: apache-2.0

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "bi_piper_follower",
    "total_episodes": 30,
    "total_frames": 41041,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 30,
    "splits": {
        "train": "0:30"
    },
    "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",
            "names": [
                "left_joint1.pos",
                "left_joint2.pos",
                "left_joint3.pos",
                "left_joint4.pos",
                "left_joint5.pos",
                "left_joint6.pos",
                "left_gripper.pos",
                "right_joint1.pos",
                "right_joint2.pos",
                "right_joint3.pos",
                "right_joint4.pos",
                "right_joint5.pos",
                "right_joint6.pos",
                "right_gripper.pos",
                "neck_pitch.pos",
                "neck_yaw.pos"
            ],
            "shape": [
                16
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "left_joint1.pos",
                "left_joint2.pos",
                "left_joint3.pos",
                "left_joint4.pos",
                "left_joint5.pos",
                "left_joint6.pos",
                "left_gripper.pos",
                "right_joint1.pos",
                "right_joint2.pos",
                "right_joint3.pos",
                "right_joint4.pos",
                "right_joint5.pos",
                "right_joint6.pos",
                "right_gripper.pos",
                "neck_pitch.pos",
                "neck_yaw.pos"
            ],
            "shape": [
                16
            ]
        },
        "observation.images.left_main": {
            "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.left_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "observation.images.right_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "video.fps": 30,
                "video.channels": 3,
                "has_audio": false
            }
        },
        "scan.barcode": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": [
                "barcode"
            ]
        },
        "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:

[More Information Needed]
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