Datasets:

XNX25
/

so100_brick

@@ -1,66 +1,67 @@
----
-license: apache-2.0
-task_categories:
-- robotics
-tags:
-- LeRobot
-- so100
-- tutorial
-- tsfile
-- time-series
-modality:
-- timeseries
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/so100_brick.tsfile
----
-# so100_brick (TsFile)
-Apache TsFile version of [`mldev19/so100_brick`](https://huggingface.co/datasets/mldev19/so100_brick), a LeRobot v2.1 demonstration dataset recorded with an SO-100 arm.
-## Overview
-This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). It records one SO-100 manipulation task (brick) with per-frame joint state and action vectors, plus two camera streams (`laptop`, `phone`).
-- **Robot:** SO-100 (`so100`)
-- **Scale:** 55 episodes, 16,279 frames, 1 task, 30 fps
-- **Split:** train
-## Schema (TsFile structure)
-The TsFile table is named `so100_brick`.
-| Role | Columns |
-| --- | --- |
-| Time | `Time`, INT64 milliseconds |
-| TAG | `episode_index`, `task_index` |
-| FIELD | `frame_index`, `sample_index` |
-| FIELD | `action_0` … `action_5`, FLOAT |
-| FIELD | `observation_state_0` … `observation_state_5`, FLOAT |
-The original 6-element `action` and `observation.state` vectors are flattened into scalar FLOAT measurements. The source `index` column is retained as `sample_index`.
-## Conversion notes
-- `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
-- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
-- The two camera streams (`observation.images.laptop`, `observation.images.phone`) are video and are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/mldev19/so100_brick/tree/main/videos).
-- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
-## Read example
-```python
-from tsfile import TsFileReader
-with TsFileReader("data/so100_brick.tsfile") as reader:
-    print(reader.get_all_table_schemas()["so100_brick"])
-```
-## Source & license
-- Original dataset: https://huggingface.co/datasets/mldev19/so100_brick
-- Author: mldev19
-- License: apache-2.0

+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- so100
+- tutorial
+- tsfile
+- format:tsfile
+- time-series
+modality:
+- timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/so100_brick.tsfile
+---
+# so100_brick (TsFile)
+Apache TsFile version of [`mldev19/so100_brick`](https://huggingface.co/datasets/mldev19/so100_brick), a LeRobot v2.1 demonstration dataset recorded with an SO-100 arm.
+## Overview
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). It records one SO-100 manipulation task (brick) with per-frame joint state and action vectors, plus two camera streams (`laptop`, `phone`).
+- **Robot:** SO-100 (`so100`)
+- **Scale:** 55 episodes, 16,279 frames, 1 task, 30 fps
+- **Split:** train
+## Schema (TsFile structure)
+The TsFile table is named `so100_brick`.
+| Role | Columns |
+| --- | --- |
+| Time | `Time`, INT64 milliseconds |
+| TAG | `episode_index`, `task_index` |
+| FIELD | `frame_index`, `sample_index` |
+| FIELD | `action_0` … `action_5`, FLOAT |
+| FIELD | `observation_state_0` … `observation_state_5`, FLOAT |
+The original 6-element `action` and `observation.state` vectors are flattened into scalar FLOAT measurements. The source `index` column is retained as `sample_index`.
+## Conversion notes
+- `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
+- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
+- The two camera streams (`observation.images.laptop`, `observation.images.phone`) are video and are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/mldev19/so100_brick/tree/main/videos).
+- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
+## Read example
+```python
+from tsfile import TsFileReader
+with TsFileReader("data/so100_brick.tsfile") as reader:
+    print(reader.get_all_table_schemas()["so100_brick"])
+```
+## Source & license
+- Original dataset: https://huggingface.co/datasets/mldev19/so100_brick
+- Author: mldev19
+- License: apache-2.0