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---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- tsfile
- format:tsfile
- time-series
- timeseries
modality:
- tabular
- timeseries
configs:
- config_name: default
data_files:
- split: train
path: data/fmb.tsfile
size_categories:
- 100K<n<1M
---
# fmb (TsFile)
Apache TsFile version of [`lerobot/fmb`](https://huggingface.co/datasets/lerobot/fmb).
## Overview
This dataset is a LeRobot v3.0 dataset of the FMB robot arm at 10 fps.
- **Robot:** unknown (FMB arm)
- **Scale:** 1804 episodes, 338,188 frames, 10 fps
- **Split:** train
- **Cameras (not uploaded):** `image_side_1`, `image_side_2`, `image_wrist_1`, `image_wrist_2`
## Schema (TsFile structure)
The TsFile table is named `fmb`.
| Role | Columns |
| --- | --- |
| Time | `Time`, INT64 milliseconds |
| TAG | `episode_index`, `task_index` |
| FIELD | `frame_index`, `sample_index` |
| FIELD | `observation_state_0` … `observation_state_7`, FLOAT |
| FIELD | `action_0` … `action_6`, FLOAT |
| FIELD | `next_reward` |
| FIELD | `next_done` |
Vector columns are flattened into scalar FLOAT measurements (single precision). 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`.
- Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/lerobot/fmb/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/fmb.tsfile") as reader:
print(reader.get_all_table_schemas()["fmb"])
```
## Source & license
- Original dataset: https://huggingface.co/datasets/lerobot/fmb
- Author: lerobot
- License: apache-2.0