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THULab/magseven_ml_ready_high_frequency_anomaly

MagSeven High-Frequency Anomaly Dataset (Sample) (TsFile) Apache TsFile version of SavantCapital/MagSeven-ML-Ready-High-Frequency-Anomaly-Dataset-January-2026-sample. Converted rows: 1,952 Data files: ['magseven_ml_ready_high_frequency_anomaly_anchors.tsfile'] Usage Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file: from pathlib import Path from tsfile import TsFileReader path =… See the full description on the dataset page: https://huggingface.co/datasets/THULab/magseven_ml_ready_high_frequency_anomaly.

sourceHugging Facecc-by-4.0updated 15d agoView on Hugging Face
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MagSeven High-Frequency Anomaly Dataset (Sample) (TsFile)

Apache TsFile version of `SavantCapital/MagSeven-ML-Ready-High-Frequency-Anomaly-Dataset-January-2026-sample`.

  • Converted rows: 1,952
  • Data files: ['magseven_ml_ready_high_frequency_anomaly_anchors.tsfile']

Usage

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

python
from pathlib import Path
from tsfile import TsFileReader

path = Path("magseven_ml_ready_high_frequency_anomaly_anchors.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/SavantCapital/MagSeven-ML-Ready-High-Frequency-Anomaly-Dataset-January-2026-sample
  • Author / publisher: SavantCapital
  • License: cc-by-4.0