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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
title: string
id: string
licenses: list<item: struct<name: string>>
  child 0, item: struct<name: string>
      child 0, name: string
subtitle: string
description: string
keywords: list<item: string>
  child 0, item: string
isPrivate: bool
ufo_per_meteorite: double
meteorite_falls: int64
state: string
year: int64
ufo_sightings: int64
to
{'year': Value('int64'), 'meteorite_falls': Value('int64'), 'ufo_sightings': Value('int64'), 'state': Value('string'), 'ufo_per_meteorite': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              title: string
              id: string
              licenses: list<item: struct<name: string>>
                child 0, item: struct<name: string>
                    child 0, name: string
              subtitle: string
              description: string
              keywords: list<item: string>
                child 0, item: string
              isPrivate: bool
              ufo_per_meteorite: double
              meteorite_falls: int64
              state: string
              year: int64
              ufo_sightings: int64
              to
              {'year': Value('int64'), 'meteorite_falls': Value('int64'), 'ufo_sightings': Value('int64'), 'state': Value('string'), 'ufo_per_meteorite': Value('float64')}
              because column names don't match

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Meteorites vs UFOs: Detection Bias Study

Both meteorite falls and UFO sightings depend on someone looking up at the right time. This dataset puts them side by side, same timeframe, same geography, to see where the patterns diverge.

Three tables in one JSON file:

Section Records What It Is
temporal_comparison 124 Year-by-year meteorite falls vs UFO reports (1900-2023)
state_comparison 58 State-level counts and UFO-to-meteorite ratios
meteorite_detail 1,097 Individual witnessed falls with US state assignment

Dataset Structure

See demo_notebook.ipynb for data exploration examples.

Usage

import json

with open('meteorites_ufos_detection_bias.json') as f:
    data = json.load(f)

# Year-by-year comparison
for row in data['temporal_comparison'][-10:]:
    print(f"{row['year']}: {row['meteorite_falls']} falls, {row['ufo_sightings']:,} UFO reports")

# Which states have the highest UFO-to-meteorite ratios?
ranked = sorted(
    [s for s in data['state_comparison'] if s['ufo_per_meteorite']],
    key=lambda x: x['ufo_per_meteorite'],
    reverse=True
)
for s in ranked[:5]:
    print(f"{s['state']}: {s['ufo_per_meteorite']:,.0f} UFO reports per meteorite fall")

Sources

Source License
Meteoritical Bulletin (via NASA) Public Domain
National UFO Reporting Center (NUFORC) Public Domain

License

CC0-1.0

Author

Luke Steuber · lukesteuber.com · @lukesteuber.com

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