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Datasets:
THUgewu
/
eval1_chengming

Modalities:
Time-series
Size:
10K<n<100K
Tags:
robotics
LeRobot
SO-101
imitation-learning
tsfile
modality:timeseries
Dataset card Files
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chore: sync metadata, drop original files

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  1. README.md +98 -95
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README.md CHANGED
@@ -1,95 +1,98 @@
1
- ---
2
- pretty_name: eval1_chengming TsFile
3
- tags:
4
- - robotics
5
- - LeRobot
6
- - SO-101
7
- - imitation-learning
8
- - tsfile
9
- - modality:timeseries
10
- modality:
11
- - timeseries
12
- configs:
13
- - config_name: default
14
- data_files:
15
- - split: train
16
- path: data/eval1_chengming.tsfile
17
- size_categories:
18
- - 10K<n<100K
19
- ---
20
-
21
- # eval1_chengming
22
-
23
- This dataset was converted from
24
- [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
25
- to Apache TsFile format.
26
-
27
- Modalities: Time-series. The original dataset also contains a front-camera
28
- video stream, which remains in the source Hugging Face dataset and is not
29
- included in this converted repository.
30
-
31
- ## Source Dataset
32
-
33
- - Original dataset: [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
34
- - Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
35
- - Robot type: `so_follower`
36
- - Split: `train`
37
- - Episodes: 60
38
- - Frames / TsFile rows: 13,408
39
- - Tasks: 3
40
- - Sampling rate: 15 fps
41
- - License metadata: not provided by the source dataset card
42
- - Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
43
- - Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
44
-
45
- The episode metadata names three task variants: put the banana in the red,
46
- green, or blue colored bowl.
47
-
48
- ## Files
49
-
50
- - `data/eval1_chengming.tsfile`: converted numeric time-series table
51
- - `meta/`: source metadata mirrored from the original dataset, with
52
- `meta/info.json` rewritten to describe the converted TsFile layout
53
-
54
- Videos are not included in this repository. The original camera video stream
55
- `observation.images.front` remains in the source dataset under
56
- [`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming/tree/main/videos).
57
-
58
- ## Schema
59
-
60
- The TsFile table name is `eval1_chengming`.
61
-
62
- - `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
63
- - TAG columns: `episode_index`, `task_index`
64
- - FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
65
- `observation_state_0..observation_state_5`
66
-
67
- The six action and observation-state dimensions use the original LeRobot joint
68
- order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
69
- `wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
70
-
71
- ## Conversion Notes
72
-
73
- - Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
74
- pipeline.
75
- - All 60 episodes are stored in one TsFile. Use `episode_index` and
76
- `task_index` as TAG filters when querying.
77
- - Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
78
- - Source `observation.state[6]` was flattened to `observation_state_0..5` as
79
- FLOAT fields.
80
- - Source `index` was renamed to `sample_index`.
81
- - Source `timestamp` is not retained as a separate field because the same
82
- information is represented by `Time / 1000` seconds.
83
- - Source video field `observation.images.front` is omitted from this TsFile
84
- conversion and remains available in the original dataset.
85
- - No rows were dropped.
86
-
87
- ## Minimal Read Example
88
-
89
- ```python
90
- from tsfile import TsFileReader
91
-
92
- reader = TsFileReader("data/eval1_chengming.tsfile")
93
- schemas = reader.get_all_table_schemas()
94
- print(schemas.keys())
95
- ```
 
 
 
 
1
+ ---
2
+ pretty_name: eval1_chengming TsFile
3
+ tags:
4
+ - robotics
5
+ - LeRobot
6
+ - SO-101
7
+ - imitation-learning
8
+ - tsfile
9
+ - modality:timeseries
10
+ - timeseries
11
+ - format:tsfile
12
+ modality:
13
+ - tabular
14
+ - timeseries
15
+ configs:
16
+ - config_name: default
17
+ data_files:
18
+ - split: train
19
+ path: data/eval1_chengming.tsfile
20
+ size_categories:
21
+ - 10K<n<100K
22
+ ---
23
+
24
+ # eval1_chengming
25
+
26
+ This dataset was converted from
27
+ [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
28
+ to Apache TsFile format.
29
+
30
+ Modalities: Time-series. The original dataset also contains a front-camera
31
+ video stream, which remains in the source Hugging Face dataset and is not
32
+ included in this converted repository.
33
+
34
+ ## Source Dataset
35
+
36
+ - Original dataset: [`robot-learning-group47/eval1_chengming`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming)
37
+ - Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
38
+ - Robot type: `so_follower`
39
+ - Split: `train`
40
+ - Episodes: 60
41
+ - Frames / TsFile rows: 13,408
42
+ - Tasks: 3
43
+ - Sampling rate: 15 fps
44
+ - License metadata: not provided by the source dataset card
45
+ - Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
46
+ - Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`
47
+
48
+ The episode metadata names three task variants: put the banana in the red,
49
+ green, or blue colored bowl.
50
+
51
+ ## Files
52
+
53
+ - `data/eval1_chengming.tsfile`: converted numeric time-series table
54
+ - `meta/`: source metadata mirrored from the original dataset, with
55
+ `meta/info.json` rewritten to describe the converted TsFile layout
56
+
57
+ Videos are not included in this repository. The original camera video stream
58
+ `observation.images.front` remains in the source dataset under
59
+ [`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval1_chengming/tree/main/videos).
60
+
61
+ ## Schema
62
+
63
+ The TsFile table name is `eval1_chengming`.
64
+
65
+ - `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
66
+ - TAG columns: `episode_index`, `task_index`
67
+ - FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
68
+ `observation_state_0..observation_state_5`
69
+
70
+ The six action and observation-state dimensions use the original LeRobot joint
71
+ order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
72
+ `wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
73
+
74
+ ## Conversion Notes
75
+
76
+ - Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
77
+ pipeline.
78
+ - All 60 episodes are stored in one TsFile. Use `episode_index` and
79
+ `task_index` as TAG filters when querying.
80
+ - Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
81
+ - Source `observation.state[6]` was flattened to `observation_state_0..5` as
82
+ FLOAT fields.
83
+ - Source `index` was renamed to `sample_index`.
84
+ - Source `timestamp` is not retained as a separate field because the same
85
+ information is represented by `Time / 1000` seconds.
86
+ - Source video field `observation.images.front` is omitted from this TsFile
87
+ conversion and remains available in the original dataset.
88
+ - No rows were dropped.
89
+
90
+ ## Minimal Read Example
91
+
92
+ ```python
93
+ from tsfile import TsFileReader
94
+
95
+ reader = TsFileReader("data/eval1_chengming.tsfile")
96
+ schemas = reader.get_all_table_schemas()
97
+ print(schemas.keys())
98
+ ```
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