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Datasets:
XNX25
/
tmp_stacking_20260722_235152

Tasks:
Robotics
Modalities:
Time-series
Size:
n<1K
Tags:
LeRobot
makermods
openbooth
MakerLab
tsfile
format:tsfile
License:
Dataset card Files
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 Community
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chore: sync metadata, drop original files

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Files changed (4) hide show
  1. README.md +73 -69
  2. meta/episodes/chunk-000/file-000.parquet +0 -3
  3. meta/stats.json +0 -632
  4. meta/tasks.parquet +0 -3
README.md CHANGED
@@ -1,69 +1,73 @@
1
- ---
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- license: apache-2.0
3
- task_categories:
4
- - robotics
5
- tags:
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- - LeRobot
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- - makermods
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- - openbooth
9
- - MakerLab
10
- - tsfile
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- - format:tsfile
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- - time-series
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- modality:
14
- - timeseries
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/tmp_stacking_20260722_235152.tsfile
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- ---
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-
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- # tmp_stacking_20260722_235152 (TsFile)
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-
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- Apache TsFile version of [`makermods/tmp_stacking_20260722_235152`](https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152).
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-
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- ## Overview
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-
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- This dataset is a LeRobot v3.0 demonstration of a stacking task recorded with an SO-100 follower arm.
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-
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- - **Robot:** SO-100 follower (so_follower)
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- - **Scale:** 1 episodes, 575 frames, 30 fps
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- - **Split:** train
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- - **Cameras (not uploaded):** `front` and `wrist`
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-
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- ## Schema (TsFile structure)
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-
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- The TsFile table is named `tmp_stacking_20260722_235152`.
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-
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- | Role | Columns |
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- | --- | --- |
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- | Time | `Time`, INT64 milliseconds |
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- | TAG | `episode_index`, `task_index` |
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- | FIELD | `frame_index`, `sample_index` |
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- | FIELD | action_0 … action_5 | FLOAT (6-DOF action) |
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- | FIELD | observation_state_0 … observation_state_5 | FLOAT (6-DOF state) |
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-
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- Vector columns are flattened into scalar FLOAT measurements (single precision). The source `index` column is retained as `sample_index`.
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-
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- ## Conversion notes
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-
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- - `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
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- - The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
53
- - Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152/tree/main/videos).
54
- - `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
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-
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- ## Read example
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-
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- ```python
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- from tsfile import TsFileReader
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-
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- with TsFileReader("data/tmp_stacking_20260722_235152.tsfile") as reader:
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- print(reader.get_all_table_schemas()["tmp_stacking_20260722_235152"])
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- ```
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-
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- ## Source & license
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-
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- - Original dataset: https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152
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- - Author: makermods
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- - License: apache-2.0
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ task_categories:
4
+ - robotics
5
+ tags:
6
+ - LeRobot
7
+ - makermods
8
+ - openbooth
9
+ - MakerLab
10
+ - tsfile
11
+ - format:tsfile
12
+ - time-series
13
+ - timeseries
14
+ modality:
15
+ - tabular
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+ - timeseries
17
+ configs:
18
+ - config_name: default
19
+ data_files:
20
+ - split: train
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+ path: data/tmp_stacking_20260722_235152.tsfile
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+ size_categories:
23
+ - n<1K
24
+ ---
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+
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+ # tmp_stacking_20260722_235152 (TsFile)
27
+
28
+ Apache TsFile version of [`makermods/tmp_stacking_20260722_235152`](https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152).
29
+
30
+ ## Overview
31
+
32
+ This dataset is a LeRobot v3.0 demonstration of a stacking task recorded with an SO-100 follower arm.
33
+
34
+ - **Robot:** SO-100 follower (so_follower)
35
+ - **Scale:** 1 episodes, 575 frames, 30 fps
36
+ - **Split:** train
37
+ - **Cameras (not uploaded):** `front` and `wrist`
38
+
39
+ ## Schema (TsFile structure)
40
+
41
+ The TsFile table is named `tmp_stacking_20260722_235152`.
42
+
43
+ | Role | Columns |
44
+ | --- | --- |
45
+ | Time | `Time`, INT64 milliseconds |
46
+ | TAG | `episode_index`, `task_index` |
47
+ | FIELD | `frame_index`, `sample_index` |
48
+ | FIELD | action_0 … action_5 | FLOAT (6-DOF action) |
49
+ | FIELD | observation_state_0 … observation_state_5 | FLOAT (6-DOF state) |
50
+
51
+ Vector columns are flattened into scalar FLOAT measurements (single precision). The source `index` column is retained as `sample_index`.
52
+
53
+ ## Conversion notes
54
+
55
+ - `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
56
+ - The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
57
+ - Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152/tree/main/videos).
58
+ - `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
59
+
60
+ ## Read example
61
+
62
+ ```python
63
+ from tsfile import TsFileReader
64
+
65
+ with TsFileReader("data/tmp_stacking_20260722_235152.tsfile") as reader:
66
+ print(reader.get_all_table_schemas()["tmp_stacking_20260722_235152"])
67
+ ```
68
+
69
+ ## Source & license
70
+
71
+ - Original dataset: https://huggingface.co/datasets/makermods/tmp_stacking_20260722_235152
72
+ - Author: makermods
73
+ - License: apache-2.0
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