---
license: apache-2.0
authors:
- grboguz
task_categories:
- robotics
tags:
- tsfile
- timeseries
- tabular
- robotics
- lerobot
- sentinel_v2
- manipulation
- tutorial
modality:
- timeseries
- tabular
pretty_name: grboguz test_lfs TsFile
configs:
- config_name: default
  data_files:
  - split: train
    path: data/grboguz_test_lfs_train.tsfile
size_categories:
- 10K<n<100K
---

# grboguz/test_lfs TsFile

This dataset is an Apache TsFile conversion of
[`grboguz/test_lfs`](https://huggingface.co/datasets/grboguz/test_lfs), a LeRobot v2.1 sentinel_v2 robot-manipulation dataset
containing demonstrations for the task "pick the green cube."

Modalities: Time-series, Tabular. The converted repository contains numeric
robot states, actions, frame timing, and episode/task tags. The two camera
streams remain in the original Hugging Face dataset and are linked below.

## Source Dataset and Provenance

- Original dataset: [`grboguz/test_lfs`](https://huggingface.co/datasets/grboguz/test_lfs)
- Pinned source revision: [`main`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main)
- Original repository creator and uploader: [grboguz](https://huggingface.co/grboguz)
- License: Apache-2.0
- Robot type: `sentinel_v2`
- LeRobot codebase version: `v2.1`
- Task: `pick the green cube` (`task_index = 0`)
- Split: `train`
- Sampling rate: 15 fps
- Scale: 210 episodes, 72,677 frame rows, 1 task, 210 source Parquet files, 420 source videos
- Source frame layout: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
- Source video layout: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`

The source dataset card provides no paper or completed citation. The Hugging
Face repository history attributes the source upload to the `grboguz` account.

## Converted Files

- TsFile: `data/grboguz_test_lfs_train.tsfile`
- Table: `grboguz_test_lfs_train`
- Rows: 72,677
- Episodes/devices: 210
- TsFile size: 1.36 MiB
- Time precision: milliseconds
- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten to describe the TsFile artifact and conversion mapping.

## TsFile Schema

`Time` is an INT64 millisecond timestamp computed as
`round(timestamp * 1000)` and restarts for each episode.

TAG columns (stored as TsFile STRING tags while preserving the original source
dtype in conversion metadata):

- `episode_index`
- `task_index`

FIELD columns:

- `frame_index`
- `sample_index`
- `observation_state_0`
- `observation_state_1`
- `observation_state_2`
- `action_0`
- `action_1`
- `action_2`
- `action_3`

Flattened vector groups:

- `observation.state` -> `observation_state_0` ... `observation_state_2` (3 FLOAT fields)
- `action` -> `action_0` ... `action_3` (4 FLOAT fields)

## Conversion Notes

- The shared config-driven `lerobot` converter is used; the included
  `convert_grboguz_test_lfs.py` is the dataset-specific local entry point.
- The train split is merged into one table-model TsFile. Filter by
  `episode_index` and `task_index` to select an episode or task.
- Storage profile: Time uses `TS_2DIFF + LZ4`; FLOAT/DOUBLE use
  `GORILLA + LZ4`; INT32/INT64 use `TS_2DIFF + LZ4`; BOOLEAN uses
  `RLE + LZ4`. The `episode_index` and `task_index` columns remain TsFile
  table-model TAG/device columns.
- `action[4]` and `observation.state[3]` are flattened to scalar FLOAT fields;
  the full source prefix is retained and `.` is replaced with `_`.
- The source `timestamp` column is dropped after `Time` synthesis because it is
  redundant with `Time / 1000` seconds.
- The source `index` column is retained as `sample_index`; `frame_index` is
  retained unchanged.
- All 72,677 source rows and all 7 action/state dimensions are retained.

## Videos

Videos are not duplicated in this converted repository. The source contains
two frame-aligned camera streams, each with 210 per-episode MP4 files:

- [`observation.image`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main/videos/chunk-000/observation.image) - 210 per-episode MP4 files
- [`observation.wrist_image`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main/videos/chunk-000/observation.wrist_image) - 210 per-episode MP4 files

The numeric TsFile rows remain aligned with the original videos through
`episode_index`, `frame_index`, and the source per-episode metadata.

## Validation

The generated TsFile is checked for successful tool completion, non-zero size,
table schema, metadata row-count equality with the staged Parquet, and a query
readback sample. See `VALIDATION.md` and `validation_report.json`.

## Minimal Read Example

```python
from tsfile import TsFileReader

reader = TsFileReader("data/grboguz_test_lfs_train.tsfile")
table_name = "grboguz_test_lfs_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_0",
    "observation_state_0",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()
```

## Citation

The source dataset card provides no paper or completed citation. Cite the
original Hugging Face dataset and the `grboguz` account when using this
converted artifact.