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README.md

@@ -1,98 +1,99 @@
----
-license: apache-2.0
-task_categories:
-- robotics
-tags:
-- LeRobot
-- so100
-- tutorial
-- time-series
-- tsfile
-- robot
-- imitation-learning
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/5position.tsfile
----
-
-# 5position
-
-This dataset is a TsFile conversion of
-[`DAbraham/5Position`](https://huggingface.co/datasets/DAbraham/5Position), a
-LeRobot SO100 robot dataset. The original dataset was created using
-[LeRobot](https://github.com/huggingface/lerobot).
-
-## Source Dataset
-
-- Source dataset: [`DAbraham/5Position`](https://huggingface.co/datasets/DAbraham/5Position)
-- License: apache-2.0
-- Robot type: SO100
-- Episodes: 50
-- Frames: 43,346
-- Tasks: 1
-- Sampling rate: 30 fps
-- Original data path: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
-- Original video path: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
-
-## TsFile Conversion
-
-The numeric frame data was converted to one TsFile:
-
-```text
-data/5position.tsfile
-```
-
-All episodes are stored in the same TsFile table, with the original source
-columns `episode_index` and `task_index` declared as TAG columns. To query one
-episode, filter by `episode_index`.
-
-`Time` is generated as `round(timestamp * 1000)` in milliseconds and restarts per
-episode. The source `timestamp` column is dropped because it is represented by
-`Time / 1000` seconds. The source `frame_index` column is kept.
-
-The source `index` column is renamed to `sample_index`.
-
-Vector columns are flattened while preserving the source column name:
-
-- `action` -> `action_0` ... `action_5`
-- `observation.state` -> `observation_state_0` ... `observation_state_5`
-
-Flattened vector values are stored as single-precision FLOAT fields.
-
-## Schema
-
-Roles in the converted TsFile:
-
-- TIME: `Time`
-- TAG: `episode_index`, `task_index`
-- FIELD: `frame_index`, `sample_index`, `action_0` ... `action_5`,
-  `observation_state_0` ... `observation_state_5`
-
-The converted dataset contains 43,346 rows and 17 columns.
-
-## Video Policy
-
-The original dataset contains three video streams:
-
-- `observation.images.context`
-- `observation.images.arm`
-- `observation.images.base`
-
-Videos are not included in this converted repository. They remain available in
-the original Hugging Face dataset:
-
-https://huggingface.co/datasets/DAbraham/5Position/tree/main/videos
-
-## Metadata
-
-The original `meta/` files are mirrored in this repository. `meta/info.json` is
-updated so `data_path` points to `data/5position.tsfile`, and it includes a
-`tsfile_conversion` object documenting the source dataset, converted data path,
-time mapping, TAG columns, flattened fields, dropped fields, omitted video
-features, and video alignment policy.
-
-## Citation
-
-The original dataset card does not provide a BibTeX citation.
+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- so100
+- tutorial
+- time-series
+- tsfile
+- robot
+- imitation-learning
+- timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/5position.tsfile
+---
+
+# 5position
+
+This dataset is a TsFile conversion of
+[`DAbraham/5Position`](https://huggingface.co/datasets/DAbraham/5Position), a
+LeRobot SO100 robot dataset. The original dataset was created using
+[LeRobot](https://github.com/huggingface/lerobot).
+
+## Source Dataset
+
+- Source dataset: [`DAbraham/5Position`](https://huggingface.co/datasets/DAbraham/5Position)
+- License: apache-2.0
+- Robot type: SO100
+- Episodes: 50
+- Frames: 43,346
+- Tasks: 1
+- Sampling rate: 30 fps
+- Original data path: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
+- Original video path: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
+
+## TsFile Conversion
+
+The numeric frame data was converted to one TsFile:
+
+```text
+data/5position.tsfile
+```
+
+All episodes are stored in the same TsFile table, with the original source
+columns `episode_index` and `task_index` declared as TAG columns. To query one
+episode, filter by `episode_index`.
+
+`Time` is generated as `round(timestamp * 1000)` in milliseconds and restarts per
+episode. The source `timestamp` column is dropped because it is represented by
+`Time / 1000` seconds. The source `frame_index` column is kept.
+
+The source `index` column is renamed to `sample_index`.
+
+Vector columns are flattened while preserving the source column name:
+
+- `action` -> `action_0` ... `action_5`
+- `observation.state` -> `observation_state_0` ... `observation_state_5`
+
+Flattened vector values are stored as single-precision FLOAT fields.
+
+## Schema
+
+Roles in the converted TsFile:
+
+- TIME: `Time`
+- TAG: `episode_index`, `task_index`
+- FIELD: `frame_index`, `sample_index`, `action_0` ... `action_5`,
+  `observation_state_0` ... `observation_state_5`
+
+The converted dataset contains 43,346 rows and 17 columns.
+
+## Video Policy
+
+The original dataset contains three video streams:
+
+- `observation.images.context`
+- `observation.images.arm`
+- `observation.images.base`
+
+Videos are not included in this converted repository. They remain available in
+the original Hugging Face dataset:
+
+https://huggingface.co/datasets/DAbraham/5Position/tree/main/videos
+
+## Metadata
+
+The original `meta/` files are mirrored in this repository. `meta/info.json` is
+updated so `data_path` points to `data/5position.tsfile`, and it includes a
+`tsfile_conversion` object documenting the source dataset, converted data path,
+time mapping, TAG columns, flattened fields, dropped fields, omitted video
+features, and video alignment policy.
+
+## Citation
+
+The original dataset card does not provide a BibTeX citation.