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 "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.

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.

624 Hektor Hohmann Transfer Orbit (TsFile)

This dataset is an Apache TsFile conversion of Taylor658/624-hektor-hohmann-transfer-orbit.

Modalities: Time-series.

Overview

  • Synthetic data for an interplanetary mission to asteroid 624 Hektor via a Type II Hohmann transfer orbit (~30,000 rows).

  • Orbital/trajectory parameters: radius, semi-major axis, eccentricity, inclination, angles, velocities, delta-v.

  • Single trajectory; no device TAG (one continuous time series).

  • Converted observations: 30,000 rows across 1 TsFile file(s)

  • Source format: csv

TsFile schema

  • Time β€” source Timestamp_UTC (datetime), converted to INT64 milliseconds.
Column Role Type Meaning
Time TIME INT64 (ms) sample timestamp
Orbital_Radius_km FIELD FLOAT β€”
Semi_Major_Axis_km FIELD FLOAT β€”
Eccentricity FIELD FLOAT β€”
Inclination_deg FIELD FLOAT β€”
Longitude_Ascending_Node_deg FIELD FLOAT β€”
Argument_of_Periapsis_deg FIELD FLOAT β€”
True_Anomaly_deg FIELD FLOAT β€”
Transfer_Angle_deg FIELD FLOAT β€”
Phase_Angle_deg FIELD FLOAT β€”
Velocity_km_s FIELD FLOAT β€”
Radial_Velocity_km_s FIELD FLOAT β€”
Tangential_Velocity_km_s FIELD FLOAT β€”
DeltaV_Used_km_s FIELD FLOAT β€”
Specific_Orbital_Energy_J_kg FIELD FLOAT β€”
Flight_Path_Angle_deg FIELD FLOAT β€”
Time_of_Flight_days FIELD FLOAT β€”
Thrust_Level_N FIELD FLOAT β€”
Spacecraft_Dry_Mass_kg FIELD FLOAT β€”
Propellant_Mass_kg FIELD FLOAT β€”
Specific_Impulse_s FIELD FLOAT β€”
Engine_Power_kW FIELD FLOAT β€”
Jupiter_Encounter_DateTime_UTC FIELD FLOAT β€”
Closest_Approach_Dist_Jupiter_km FIELD FLOAT β€”
Flyby_BPlane_Coords_km FIELD FLOAT β€”
Inbound_Velocity_Rel_Jupiter_km_s FIELD FLOAT β€”
Outbound_Velocity_Rel_Jupiter_km_s FIELD FLOAT β€”
Gravity_Assist_DV_Eq_km_s FIELD FLOAT β€”
Flyby_Turn_Angle_deg FIELD FLOAT β€”
Slingshot_Energy_Gain_J_kg FIELD FLOAT β€”
Relative_Phase_Angle_deg FIELD FLOAT β€”
Synodic_Period_days FIELD FLOAT β€”
Hektor_Encounter_DateTime_UTC FIELD FLOAT β€”
Relative_Velocity_at_Hektor_km_s FIELD FLOAT β€”
Capture_Insertion_DV_km_s FIELD FLOAT β€”
Final_Orbit_SMA_km FIELD FLOAT β€”
Final_Orbit_Inclination_deg FIELD FLOAT β€”
Earth_Orbital_Velocity_km_s FIELD FLOAT β€”
Hektor_Orbital_Velocity_km_s FIELD FLOAT β€”
Transfer_Periapsis_Velocity_km_s FIELD FLOAT β€”
Transfer_Apoapsis_Velocity_km_s FIELD FLOAT β€”

Conversion notes

  • 40 orbital-parameter fields kept as FLOAT/INT64; no columns dropped.

Source & license

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("hektor_hohmann_transfer_orbit.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())
Downloads last month
-