Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: 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 364, in tsfile.tsfile_reader.TsFileReaderPy.__init__
File "tsfile/tsfile_reader.pyx", line 367, in tsfile.tsfile_reader.TsFileReaderPy.init_reader
File "tsfile/tsfile_py_cpp.pyx", line 789, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
File "tsfile/tsfile_py_cpp.pyx", line 55, in tsfile.tsfile_py_cpp.check_error
tsfile.exceptions.FileOpenError: 28: Failed to open file
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.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ACE/WIND ICME Catalog (Feng 2018) (TsFile)
Apache TsFile version of juliensimon/feng-icme-catalog.
Overview
Feng et al. 2018 catalog of 219 Interplanetary Coronal Mass Ejections (ICMEs) measured in-situ at L1 by ACE and WIND between February 1998 and August 2011 — VizieR J/ApJ/868/124, drawn from the Cane & Richardson (2003) and Richardson & Cane (2010) reference compilations.
- Tables:
feng_icme_catalog - Rows: 219 across 1 TsFile table(s).
feng_icme_catalog: 219 rows, 1998-02-17 16:01:00 → 2011-08-06 05:21:00 (UTC)
Schema (TsFile structure)
feng_icme_catalog.tsfile
- Time (INT64, milliseconds) — the source
shock_arrival_utctimestamp as INT64 milliseconds. - TAG: none — the table is a single device / single series.
- FIELD (9):
sequence_number(int64),carbon_cold_flag(string),v_min_kms(int64),v_max_kms(int64),is_magnetic_cloud(string),icme_start_utc(string),icme_end_utc(string),shock_to_start_hours(double),icme_duration_hours(double)
Conversion notes
- One TsFile (
feng_icme_catalog.tsfile) holding the Feng interplanetary coronal mass ejection catalogue; one row per catalogued event, single device (no TAG). - Time is the source
shock_arrival_utctimestamp as INT64 milliseconds. - All source columns are kept; no column is dropped.
- Not converted:
banner.jpg— image asset, not time series; not downloaded.
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("feng_icme_catalog.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:
juliensimon/feng-icme-catalog - Source card title / publisher: ACE/WIND ICME Catalog (Feng 2018)
- License: other (as declared by the original dataset).
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