Datasets:

smilegeng
/

geomagnetic_kp_index

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 71, 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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Geomagnetic Kp Index (3-Hourly) — TsFile

Converted to Apache TsFile format from the Hugging Face dataset juliensimon/geomagnetic-kp-index.

The original data comes from NOAA SWPC (Space Weather Prediction Center): the 3-hourly planetary geomagnetic Kp index (a 0–9 quasi-logarithmic scale measuring global geomagnetic disturbance).

Source

Original dataset: juliensimon/geomagnetic-kp-index
Original author: Julien Simon (juliensimon)
Data origin: NOAA SWPC
License: CC-BY-4.0 (per the original dataset)

Data content

686 rows × 5 columns, time range 2026-03-17 → 2026-06-10 (UTC), 8 readings per day (00 / 03 / 06 / 09 / 12 / 15 / 18 / 21 UT). Single device, single time series.

Column	TsFile type	Role	Description
`Time`	INT64 (ms)	time column	from the original `datetime` (UTC timestamps) to milliseconds
`kp_value`	DOUBLE	FIELD	Kp index 0.0–9.0; ≥5 indicates a geomagnetic storm
`ap_running`	INT64	FIELD	24-hour running ap mean (linear scale, nT)
`station_count`	INT64	FIELD	number of contributing observatories (up to 13)
`storm_level`	STRING	FIELD	NOAA G-scale label: quiet / G1-minor / G2-moderate / G3-strong / …

Conversion Notes

Conversion path: script (custom converter scripts/converters/geomagnetic_kp_index.py)
Time precision: ms
No TAG declared: this is a single-device wide table, all measurement columns are FIELD.
No columns dropped: all 5 original columns are kept (datetime → Time, the other 4 kept as-is).
The original data has no missing values; the time series is strictly increasing with no duplicate timestamps.
Read-back validation: the TsFile reads back 686 rows, identical to the source.

Usage

from tsfile import TsFileReader

reader = TsFileReader("geomagnetic_kp_index.tsfile")
for name, schema in reader.get_all_table_schemas().items():
    print(name, [c.get_column_name() for c in schema.get_columns()])

Downloads last month: 60

Total file size:

9.49 kB