put_coffee_cap_teabox (TsFile)

Apache TsFile version of lirislab/put_coffee_cap_teabox.

Overview

This dataset is a LeRobot v2.1 dataset of an SO-100 arm putting a coffee cap on a teabox.

• Robot: SO-100 (so100)
• Scale: 40 episodes, 14,806 frames, 30 fps
• Split: train
• Cameras (not uploaded): realsense_top and realsense_side

Schema (TsFile structure)

The TsFile table is named put_coffee_cap_teabox.

Role	Columns
Time	Time, INT64 milliseconds
TAG	episode_index, task_index
FIELD	frame_index, sample_index
FIELD	action_0 … action_5
FIELD	observation_state_0 … observation_state_5

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.
• 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

from tsfile import TsFileReader

with TsFileReader("data/put_coffee_cap_teabox.tsfile") as reader:
    print(reader.get_all_table_schemas()["put_coffee_cap_teabox"])

Source & license

• Original dataset: https://huggingface.co/datasets/lirislab/put_coffee_cap_teabox
• Author: lirislab
• License: apache-2.0