The dataset viewer is not available for this split.
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 matchNeed 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}
}
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