File size: 6,088 Bytes
abc89a7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7d1a995
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- unitree-go2
- quadruped
- navigation
- rgbd
- lerobot
configs:
- config_name: default
  data_files: data/*/*.parquet
---

This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).


<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=nullPointerExcept1on/realworld_go2_task0">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>
</a>


## 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": "v3.0",
    "fps": 10,
    "features": {
        "observation.images.front": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": false,
                "video.height": 480,
                "video.width": 640,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.fps": 10,
                "video.channels": 3,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": 12,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {}
            }
        },
        "observation.images.front_depth": {
            "dtype": "video",
            "shape": [
                480,
                640,
                1
            ],
            "names": [
                "height",
                "width",
                "channels"
            ],
            "info": {
                "is_depth_map": true,
                "depth_unit": "mm",
                "video.height": 480,
                "video.width": 640,
                "video.codec": "hevc",
                "video.pix_fmt": "gray12le",
                "video.fps": 10,
                "video.channels": 1,
                "has_audio": false,
                "video.g": 2,
                "video.crf": 30,
                "video.preset": null,
                "video.fast_decode": 0,
                "video.video_backend": "pyav",
                "video.extra_options": {
                    "x265-params": "lossless=1:log-level=error"
                },
                "video.depth_min": 0.01,
                "video.depth_max": 10.0,
                "video.shift": 3.5,
                "video.use_log": true
            }
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "vx",
                "vy",
                "vyaw",
                "roll",
                "pitch",
                "body_height",
                "move"
            ]
        },
        "observation.pad": {
            "dtype": "float32",
            "shape": [
                4
            ],
            "names": [
                "lx",
                "ly",
                "rx",
                "ry"
            ]
        },
        "observation.move": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": [
                "move"
            ]
        },
        "action": {
            "dtype": "float32",
            "shape": [
                3
            ],
            "names": [
                "vx",
                "vy",
                "vyaw"
            ]
        },
        "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
        }
    },
    "total_episodes": 50,
    "total_frames": 9448,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "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",
    "robot_type": "unitree_go2",
    "splits": {
        "train": "0:50"
    }
}
```


## Citation

**BibTeX:**

```bibtex
[More Information Needed]
```

## Notes

Unitree Go2 EDU walking down an indoor hallway, RealSense D435i RGB + depth at 10 fps, instruction "Walk down the hallway." — **the same task as nullPointerExcept1on/realworld_go2_task3**, collected separately (an earlier upload of this dataset carried the wrong instruction text, fixed 2026-09-13). Recorded with the Go2's own remote controller, so **action = the measured body velocity [vx, vy, vyaw]** (dead-banded to exactly 0 at a standstill) rather than a teleoperation command; observation.pad is therefore all zeros. Recording was motion-gated: an episode starts when the robot starts walking (0.5 s of frames from just before are kept) and ends after 3 s without motion; the standing-still frames at the end were trimmed away, so every episode ends on the last moving frame. SmolVLA training variant: nullPointerExcept1on/realworld_go2_task0_smolvla. 50 episodes, 9,448 frames (2026-09-13).