Datasets:

THULab
/

commodity_import

license: apache-2.0
task_categories:
  - time-series-forecasting
tags:
  - tsfile
  - timeseries
  - time-series
  - format:tsfile
pretty_name: Commodity_Import
configs:
  - config_name: default
    data_files:
      - split: train
        path: commodity_import.tsfile

Commodity_Import (TsFile)

Apache TsFile version of the Commodity_Import sub-dataset of Real-TSF/TIME-ProcessedCSV.

Overview

Commodity_Import is one of the processed time-series collections bundled in TIME-ProcessedCSV, a multi-domain repository of cleaned CSV series (energy, transport, weather, finance, health and more), each with a timestamp column and one or more measurement columns per file.

Source files: 8 CSV file(s) under https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/Commodity_Import
Converted rows: 5,578 (long format: one row per measurement)
Data files: ['commodity_import.tsfile']

Schema (TsFile structure)

Time (INT64, milliseconds) — the source timestamp column.
freq (TAG) — source sampling-frequency directory (e.g. H, 15T, D).
series (TAG) — source file stem (e.g. item0, NRSROT).
channel (TAG) — source measurement column name.
measurement (FIELD, FLOAT) — the measurement value.

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("commodity_import.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())

Source & license

Original dataset: https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV/tree/main/Commodity_Import
Bundle: https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV
License: apache-2.0