Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Date: string
Aircraft Type: string
Location: string
Fatalities: int64
Registration: string
Aircraft_Type: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 872
to
{'Date': Value('string'), 'Aircraft_Type': Value('string'), 'Location': Value('string'), 'Fatalities': Value('float64'), 'Registration': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2406, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2280, in cast_table_to_features
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              Date: string
              Aircraft Type: string
              Location: string
              Fatalities: int64
              Registration: string
              Aircraft_Type: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 872
              to
              {'Date': Value('string'), 'Aircraft_Type': Value('string'), 'Location': Value('string'), 'Fatalities': Value('float64'), 'Registration': Value('string')}
              because column names don't match

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.

✈️ Global Airplane Crash Dataset (1908–2026)

Dataset Summary

The Global Aircraft Accidents Dataset (1908–2026) provides a comprehensive collection of recorded aviation accidents spanning over a century of flight history. Covering early experimental aviation through modern commercial and private aviation, this dataset enables researchers, analysts, and data scientists to explore aviation safety trends, fatality patterns, and historical evolution.

It is highly suitable for data analysis, machine learning, statistical modeling, and geospatial visualization projects.

🎯 Ideal For

  • Exploratory Data Analysis (EDA)
  • Time-Series Analysis
  • Aviation Safety Research
  • Risk Modeling & Prediction
  • Geospatial Mapping (Heatmaps)
  • Historical Trend Analysis
  • Machine Learning (Regression / Classification)
  • Data Visualization Projects

Dataset Structure

Data Fields

(Note: Ensure these feature names match the exact column headers in your CSV file.)

  • Date (string): Date of the accident.
  • Aircraft_Type (string): Aircraft model or category involved.
  • Location (string): Geographic location of the accident.
  • Fatalities (float64 / int64): Number of deaths recorded.
  • Registration (string): Aircraft registration number.

Data Instances

An example of the data represented in CSV format:

Date,Aircraft_Type,Location,Fatalities,Registration
1912-07-12,Wright Model B,"College Park, Maryland, US",2,NC-102

DOI Citation
DOI (Digital Object Identifier)
https://doi.org/10.34740/kaggle/dsv/15031027

@misc{batudev_2026,
    title={Global Airplane Crash Dataset (1908–2026)},
    url={https://www.kaggle.com/dsv/15031027},
    DOI={10.34740/KAGGLE/DSV/15031027},
    publisher={Kaggle},
    author={Batudev},
    year={2026}
}
Downloads last month
14