Datasets:

THULab
/

niederschlag_station_4091_bavaria_germany

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Niederschlag Station 4091, Bavaria, Germany (TsFile)

This dataset is the Apache TsFile conversion of Kamilatr/niederschlag_station_4091_bavaria_germany. It contains the monthly precipitation-height observations published for station 4091.

Modalities: Time-series.

Overview

Source dataset: Kamilatr/niederschlag_station_4091_bavaria_germany
Source revision: 7445f38114e2cc07f63f4fb3d16fb53cd2fddf45
Source file: newdf.csv
Observations: 60 monthly rows
Converted file: niederschlag_station_4091_bavaria_germany.tsfile (1,026 bytes)
Date range: 1986-01-01 through 1990-12-01
Station: 4091 (Bavaria, Germany)
Split: train

The source card does not declare a license or a measurement unit; this card therefore does not add either. Values are copied exactly as published.

TsFile schema

The table is niederschlag_station_4091_bavaria_germany and has one device, the station TAG station_id = "4091".

Column	Role	Type	Source / meaning
`Time`	TIME	INT64 (ms)	UTC-midnight epoch milliseconds from `Date`
`station_id`	TAG	STRING	Constant station identifier `4091`
`mo_rr_niederschlagshoehe`	FIELD	DOUBLE	Source `MO_RR.Niederschlagshoehe`, unchanged

Conversion notes

The source Date (YYYY-MM-DD) is parsed to Time at UTC midnight. The redundant source string is not duplicated as a FIELD.
The dotted source measurement name is normalized to the TsFile-safe field mo_rr_niederschlagshoehe; no value or unit conversion is performed.
All 60 observations are retained and sorted by station_id, Time.

Read example

from tsfile import TsFileReader

path = "niederschlag_station_4091_bavaria_germany.tsfile"
with TsFileReader(path) as reader:
    with reader.query_table(
        "niederschlag_station_4091_bavaria_germany",
        ["mo_rr_niederschlagshoehe"],
        batch_size=128,
    ) as result:
        batch = result.read_arrow_batch()
        if batch is not None:
            print(batch.to_pandas())

Source & license

Original dataset: https://huggingface.co/datasets/Kamilatr/niederschlag_station_4091_bavaria_germany
Author / publisher: Kamilatr
License: not declared by the original dataset; please defer to the original.

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("niederschlag_station_4091_bavaria_germany.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())

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