Datasets:

THULab
/

train4

@@ -1,108 +1,109 @@
----
-license: other
-language:
-  - en
-pretty_name: "Vacuame/train4 (LeRobot SO-100) - TsFile"
-tags:
-  - time-series
-  - tsfile
-  - robotics
-  - lerobot
-  - so100
-  - manipulation
-task_categories:
-  - time-series-forecasting
-  - robotics
----
-# Vacuame/train4 (LeRobot SO-100) - TsFile
-This dataset converts the numeric time-series from [`Vacuame/train4`](https://huggingface.co/datasets/Vacuame/train4) to Apache TsFile while preserving the LeRobot episode-level layout.
-## Repository Layout
-```text
-README.md
-data/chunk-000/episode_000000.tsfile
-data/chunk-000/episode_000001.tsfile
-meta/info.json
-meta/tasks.jsonl
-meta/episodes.jsonl
-meta/stats.json
-videos/chunk-000/observation.images.laptop/episode_000000.mp4
-videos/chunk-000/observation.images.laptop/episode_000001.mp4
-videos/chunk-000/observation.images.phone/episode_000000.mp4
-videos/chunk-000/observation.images.phone/episode_000001.mp4
-```
-## Source Dataset
-- Source: [`Vacuame/train4`](https://huggingface.co/datasets/Vacuame/train4)
-- LeRobot version: v2.0
-- Robot type: `so100`
-- Episodes: 2
-- Frames: 119
-- FPS: 30
-- Task: `try`
-- Video streams: `observation.images.laptop`, `observation.images.phone`
-The original source data is one Parquet file per episode:
-```text
-data/chunk-000/episode_000000.parquet
-data/chunk-000/episode_000001.parquet
-```
-The converted data keeps the same episode granularity:
-```text
-data/chunk-000/episode_000000.tsfile
-data/chunk-000/episode_000001.tsfile
-```
-## TsFile Mapping
-- Table name: `vacuame_train4`
-- TAG columns: `episode_id`, `task_id`
-- Time precision: milliseconds
-- Time definition: `round(frame_index * 1000 / 30)`
-- `timestamp` is preserved as `episode_timestamp_s`
-- `index` is renamed to `sample_index`
-- `observation.state[6]` is flattened to `state_0` ... `state_5`
-- `action[6]` is flattened to `action_0` ... `action_5`
-- Row count preserved: 119 source rows -> 119 TsFile rows across 2 files
-## Video Alignment
-Videos are not stored inside TsFile. They are mirrored under `videos/` and aligned by episode and frame:
-```text
-data/chunk-000/episode_000000.tsfile
-videos/chunk-000/observation.images.laptop/episode_000000.mp4
-videos/chunk-000/observation.images.phone/episode_000000.mp4
-```
-Within an episode, `frame_index` aligns with the video frame index, and `episode_timestamp_s` aligns with video time in seconds.
-## Metadata
-`meta/info.json` has been updated so:
-```json
-"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.tsfile"
-```
-It also includes a `tsfile_conversion` object documenting the source path, converted path, TAG columns, time mapping, row count, and vector flattening.
-## Citation
-```bibtex
-@misc{vacuame_train4,
-  title  = {train4 (LeRobot SO-100)},
-  author = {Vacuame},
-  url    = {https://huggingface.co/datasets/Vacuame/train4},
-  publisher = {Hugging Face}
-}
-```
-The source HuggingFace dataset does not declare an explicit license.

+---
+license: other
+language:
+- en
+pretty_name: Vacuame/train4 (LeRobot SO-100) - TsFile
+tags:
+- time-series
+- tsfile
+- robotics
+- lerobot
+- so100
+- manipulation
+- timeseries
+task_categories:
+- time-series-forecasting
+- robotics
+---
+# Vacuame/train4 (LeRobot SO-100) - TsFile
+This dataset converts the numeric time-series from [`Vacuame/train4`](https://huggingface.co/datasets/Vacuame/train4) to Apache TsFile while preserving the LeRobot episode-level layout.
+## Repository Layout
+```text
+README.md
+data/chunk-000/episode_000000.tsfile
+data/chunk-000/episode_000001.tsfile
+meta/info.json
+meta/tasks.jsonl
+meta/episodes.jsonl
+meta/stats.json
+videos/chunk-000/observation.images.laptop/episode_000000.mp4
+videos/chunk-000/observation.images.laptop/episode_000001.mp4
+videos/chunk-000/observation.images.phone/episode_000000.mp4
+videos/chunk-000/observation.images.phone/episode_000001.mp4
+```
+## Source Dataset
+- Source: [`Vacuame/train4`](https://huggingface.co/datasets/Vacuame/train4)
+- LeRobot version: v2.0
+- Robot type: `so100`
+- Episodes: 2
+- Frames: 119
+- FPS: 30
+- Task: `try`
+- Video streams: `observation.images.laptop`, `observation.images.phone`
+The original source data is one Parquet file per episode:
+```text
+data/chunk-000/episode_000000.parquet
+data/chunk-000/episode_000001.parquet
+```
+The converted data keeps the same episode granularity:
+```text
+data/chunk-000/episode_000000.tsfile
+data/chunk-000/episode_000001.tsfile
+```
+## TsFile Mapping
+- Table name: `vacuame_train4`
+- TAG columns: `episode_id`, `task_id`
+- Time precision: milliseconds
+- Time definition: `round(frame_index * 1000 / 30)`
+- `timestamp` is preserved as `episode_timestamp_s`
+- `index` is renamed to `sample_index`
+- `observation.state[6]` is flattened to `state_0` ... `state_5`
+- `action[6]` is flattened to `action_0` ... `action_5`
+- Row count preserved: 119 source rows -> 119 TsFile rows across 2 files
+## Video Alignment
+Videos are not stored inside TsFile. They are mirrored under `videos/` and aligned by episode and frame:
+```text
+data/chunk-000/episode_000000.tsfile
+videos/chunk-000/observation.images.laptop/episode_000000.mp4
+videos/chunk-000/observation.images.phone/episode_000000.mp4
+```
+Within an episode, `frame_index` aligns with the video frame index, and `episode_timestamp_s` aligns with video time in seconds.
+## Metadata
+`meta/info.json` has been updated so:
+```json
+"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.tsfile"
+```
+It also includes a `tsfile_conversion` object documenting the source path, converted path, TAG columns, time mapping, row count, and vector flattening.
+## Citation
+```bibtex
+@misc{vacuame_train4,
+  title  = {train4 (LeRobot SO-100)},
+  author = {Vacuame},
+  url    = {https://huggingface.co/datasets/Vacuame/train4},
+  publisher = {Hugging Face}
+}
+```
+The source HuggingFace dataset does not declare an explicit license.