z1_dual_dex1_stackbox_dataset_v2

Converted from the Hugging Face dataset unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset_V2 to Apache TsFile format.

Source Dataset

• Original dataset: unitreerobotics/Z1_Dual_Dex1_StackBox_Dataset_V2
• Authors: unitreerobotics
• License: apache-2.0

Conversion Notes

• Conversion mode: script
• Time precision: ms
• TsFile data files: ['data/z1_dual_dex1_stackbox_dataset_v2.tsfile']
• Converter: scripts/converters/lerobot.py

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("data/z1_dual_dex1_stackbox_dataset_v2.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())