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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'year'}) and 6 missing columns ({'last_year', 'state', 'name', 'airport_id', 'first_year', 'fatalities'}).
This happened while the csv dataset builder was generating data using
hf://datasets/himaxym/faa-wildlife-strikes-us/wildlife_strikes_by_year.csv (at revision 7d6be864c27957260d93a3a549dd62ce9ae3a311), ['hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_airport.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_year.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_top_species.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
year: int64
total: int64
damaging: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 603
to
{'airport_id': Value('string'), 'name': Value('string'), 'state': Value('string'), 'total': Value('int64'), 'damaging': Value('int64'), 'fatalities': Value('int64'), 'first_year': Value('int64'), 'last_year': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'year'}) and 6 missing columns ({'last_year', 'state', 'name', 'airport_id', 'first_year', 'fatalities'}).
This happened while the csv dataset builder was generating data using
hf://datasets/himaxym/faa-wildlife-strikes-us/wildlife_strikes_by_year.csv (at revision 7d6be864c27957260d93a3a549dd62ce9ae3a311), ['hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_airport.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_strikes_by_year.csv', 'hf://datasets/himaxym/faa-wildlife-strikes-us@7d6be864c27957260d93a3a549dd62ce9ae3a311/wildlife_top_species.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
airport_id string | name string | state string | total int64 | damaging int64 | fatalities int64 | first_year int64 | last_year int64 |
|---|---|---|---|---|---|---|---|
KDEN | DENVER INTL AIRPORT | CO | 11,634 | 253 | 0 | 1,994 | 2,026 |
KDFW | DALLAS/FORT WORTH INTL ARPT | TX | 8,992 | 279 | 0 | 1,990 | 2,026 |
KORD | CHICAGO O'HARE INTL ARPT | IL | 7,331 | 271 | 0 | 1,990 | 2,026 |
KJFK | JOHN F KENNEDY INTL | NY | 6,705 | 333 | 0 | 1,990 | 2,026 |
KMEM | MEMPHIS INTL | TN | 5,518 | 200 | 0 | 1,990 | 2,026 |
KSLC | SALT LAKE CITY INTL | UT | 4,391 | 378 | 0 | 1,990 | 2,026 |
KATL | HARTSFIELD - JACKSON ATLANTA INTL ARPT | GA | 4,351 | 146 | 0 | 1,990 | 2,026 |
KSMF | SACRAMENTO INTL | CA | 4,334 | 491 | 0 | 1,990 | 2,026 |
KDTW | DETROIT METRO WAYNE COUNTY ARPT | MI | 4,322 | 117 | 0 | 1,990 | 2,026 |
KMCO | ORLANDO INTL | FL | 4,302 | 317 | 0 | 1,990 | 2,026 |
KCLT | CHARLOTTE/DOUGLAS INTL ARPT | NC | 3,782 | 120 | 0 | 1,990 | 2,026 |
KIAH | GEORGE BUSH INTERCONTINENTAL/ HOUSTON ARPT | TX | 3,774 | 95 | 0 | 1,990 | 2,026 |
KLGA | LA GUARDIA ARPT | NY | 3,771 | 225 | 0 | 1,990 | 2,026 |
KSDF | MUHAMMAD ALI INTERNATIONAL | KY | 3,541 | 137 | 0 | 1,990 | 2,026 |
KMCI | KANSAS CITY INTL | MO | 3,443 | 146 | 0 | 1,990 | 2,026 |
KAUS | AUSTIN-BERGSTROM INTL | TX | 3,423 | 113 | 0 | 1,990 | 2,026 |
KEWR | NEWARK LIBERTY INTL ARPT | NJ | 3,310 | 208 | 0 | 1,990 | 2,026 |
KCVG | CINCINNATI/NORTHERN KENTUCKY INTL ARPT | KY | 3,268 | 89 | 0 | 1,990 | 2,026 |
KPHL | PHILADELPHIA INTL | PA | 3,195 | 203 | 0 | 1,990 | 2,026 |
KBNA | NASHVILLE INTL | TN | 3,162 | 93 | 0 | 1,990 | 2,026 |
KLAX | LOS ANGELES INTL | CA | 3,142 | 177 | 0 | 1,990 | 2,026 |
KBOS | GENERAL EDWARD LAWRENCE LOGAN INTL ARPT | MA | 2,910 | 189 | 0 | 1,990 | 2,026 |
KBWI | BALTIMORE/WASH INTL THURGOOD MARSHAL ARPT | MD | 2,886 | 139 | 0 | 1,990 | 2,026 |
KPDX | PORTLAND INTL (OR) | OR | 2,817 | 170 | 0 | 1,990 | 2,026 |
KIAD | WASHINGTON DULLES INTL ARPT | DC | 2,719 | 196 | 0 | 1,990 | 2,026 |
KSFO | SAN FRANCISCO INTL ARPT | CA | 2,702 | 186 | 0 | 1,990 | 2,026 |
KCLE | CLEVELAND-HOPKINS INTL ARPT | OH | 2,652 | 77 | 0 | 1,990 | 2,026 |
KDAL | DALLAS LOVE FIELD ARPT | TX | 2,647 | 94 | 0 | 1,990 | 2,026 |
KFLL | FORT LAUDERDALE/HOLLYWOOD INTL | FL | 2,563 | 115 | 0 | 1,990 | 2,026 |
KMSP | MINNEAPOLIS-ST PAUL INTL/WOLD-CHAMBERLAIN ARPT | MN | 2,530 | 139 | 0 | 1,990 | 2,026 |
KIND | INDIANAPOLIS INTL ARPT | IN | 2,516 | 69 | 0 | 1,990 | 2,026 |
KMSY | LOUIE ARMSTRONG NEW ORLEANS INTL ARPT | LA | 2,424 | 123 | 0 | 1,990 | 2,026 |
KPIT | PITTSBURGH INTL ARPT | PA | 2,404 | 87 | 0 | 1,990 | 2,026 |
KSEA | SEATTLE-TACOMA INTL | WA | 2,392 | 124 | 0 | 1,990 | 2,026 |
KTEB | TETERBORO AIRPORT | NJ | 2,333 | 114 | 0 | 1,990 | 2,026 |
KMDW | CHICAGO MIDWAY INTL ARPT | IL | 2,254 | 92 | 0 | 1,990 | 2,026 |
KDCA | RONALD REAGAN WASHINGTON NATIONAL ARPT | DC | 2,180 | 155 | 0 | 1,990 | 2,026 |
KRSW | SOUTHWEST FLORIDA INTL ARPT | FL | 2,124 | 97 | 0 | 1,990 | 2,026 |
KCMH | JOHN GLENN COLUMBUS INTL ARPT | OH | 2,121 | 69 | 0 | 1,990 | 2,026 |
KHOU | WILLIAM P HOBBY ARPT | TX | 2,116 | 88 | 0 | 1,990 | 2,026 |
KSAT | SAN ANTONIO INTL | TX | 2,099 | 87 | 0 | 1,990 | 2,026 |
KOMA | EPPLEY AIRFIELD | NE | 2,066 | 90 | 0 | 1,990 | 2,026 |
KTPA | TAMPA INTL | FL | 2,061 | 112 | 0 | 1,990 | 2,026 |
KSJC | NORMAN Y. MINETA SAN JOSE INTL ARPT | CA | 2,055 | 117 | 0 | 1,990 | 2,026 |
KSTL | LAMBERT-ST LOUIS INTL | MO | 2,029 | 127 | 0 | 1,990 | 2,026 |
KPHX | PHOENIX SKY HARBOR INTL ARPT | AZ | 1,980 | 69 | 0 | 1,990 | 2,026 |
KOAK | METRO OAKLAND INTL | CA | 1,970 | 142 | 0 | 1,990 | 2,026 |
PHNL | DANIEL K. INOUYE INTERNATIONAL AIRPORT | HI | 1,858 | 42 | 0 | 1,990 | 2,026 |
KMIA | MIAMI INTL | FL | 1,808 | 146 | 0 | 1,990 | 2,026 |
PHLI | LIHUE ARPT | HI | 1,538 | 21 | 0 | 1,990 | 2,026 |
KMKE | GENERAL MITCHELL INTL | WI | 1,500 | 54 | 0 | 1,990 | 2,026 |
KJAX | JACKSONVILLE INTL | FL | 1,473 | 51 | 0 | 1,990 | 2,026 |
KOKC | WILL ROGERS WORLD ARPT | OK | 1,368 | 28 | 0 | 1,990 | 2,026 |
KGRR | GERALD R. FORD INTL ARPT | MI | 1,363 | 25 | 0 | 1,990 | 2,026 |
KDSM | DES MOINES INTL | IA | 1,320 | 43 | 0 | 1,990 | 2,026 |
KONT | ONTARIO INTL ARPT | CA | 1,272 | 42 | 0 | 1,990 | 2,026 |
KMDT | HARRISBURG INTL | PA | 1,260 | 40 | 0 | 1,990 | 2,026 |
KBDL | BRADLEY INTL | CT | 1,255 | 35 | 0 | 1,990 | 2,026 |
KRDU | RALEIGH-DURHAM INTL | NC | 1,166 | 56 | 0 | 1,990 | 2,026 |
KSRQ | SARASOTA-BRADENTON INTL ARPT | FL | 1,154 | 45 | 0 | 1,990 | 2,026 |
KSFB | ORLANDO SANFORD INTL ARPT | FL | 1,139 | 99 | 0 | 1,991 | 2,026 |
KLIT | BILL AND HILLARY CLINTON NATL ARPT/ADAMS FIELD | AR | 1,130 | 39 | 0 | 1,990 | 2,026 |
KACY | ATLANTIC CITY INTL | NJ | 1,105 | 19 | 0 | 1,990 | 2,026 |
KALB | ALBANY INTL | NY | 1,086 | 40 | 0 | 1,990 | 2,026 |
KLGB | LONG BEACH-DAUGH FLD | CA | 1,065 | 24 | 0 | 1,990 | 2,026 |
KPVD | RHODE ISLAND TF GREEN INTERNATIONAL AIRPORT | RI | 1,061 | 38 | 0 | 1,990 | 2,026 |
KRIC | RICHMOND INTL | VA | 1,053 | 43 | 0 | 1,990 | 2,026 |
KBHM | BIRMINGHAM-SHUTTLESWORTH INTL | AL | 1,049 | 60 | 0 | 1,990 | 2,026 |
KCHS | CHARLESTON AFB/INTL ARPT | SC | 1,005 | 30 | 0 | 1,990 | 2,026 |
KBUF | BUFFALO-NIAGARA INTL | NY | 1,003 | 39 | 0 | 1,990 | 2,026 |
KMFE | MC ALLEN MILLER INTL | TX | 999 | 15 | 0 | 1,991 | 2,026 |
KDAY | JAMES M COX DAYTON INTL | OH | 958 | 24 | 0 | 1,990 | 2,026 |
KHPN | WESTCHESTER COUNTY ARPT | NY | 930 | 63 | 0 | 1,990 | 2,026 |
KORF | NORFOLK INTL | VA | 922 | 66 | 0 | 1,990 | 2,026 |
KBKL | BURKE LAKEFRONT | OH | 918 | 37 | 0 | 1,990 | 2,026 |
PHOG | KAHULUI ARPT | HI | 917 | 18 | 0 | 1,990 | 2,026 |
KDAB | DAYTONA BEACH INTL | FL | 913 | 79 | 0 | 1,990 | 2,026 |
KCOS | CITY OF COLORADO SPRINGS MUNI APRT | CO | 906 | 19 | 0 | 1,990 | 2,026 |
KSBA | SANTA BARBARA MUNICIPAL | CA | 894 | 43 | 0 | 1,990 | 2,026 |
KSAN | SAN DIEGO INTL | CA | 892 | 39 | 0 | 1,990 | 2,026 |
KHSV | HUNTSVILLE INTL ARPT-CARL T JONES FIELD | AL | 853 | 7 | 0 | 1,990 | 2,026 |
KTYS | MCGHEE TYSON ARPT | TN | 844 | 13 | 0 | 1,992 | 2,026 |
KLAS | HARRY REID INTERNATIONAL AIRPORT | NV | 833 | 65 | 0 | 1,990 | 2,026 |
KIWA | PHOENIX-MESA GATEWAY | AZ | 831 | 37 | 0 | 1,991 | 2,026 |
KTUL | TULSA INTL | OK | 828 | 41 | 0 | 1,990 | 2,026 |
KLEX | BLUE GRASS ARPT | KY | 803 | 18 | 0 | 1,991 | 2,026 |
KMMU | MORRISTOWN MUNICIPAL ARPT | NJ | 787 | 52 | 0 | 1,990 | 2,026 |
KSAV | SAVANNAH/HILTON HEAD INTL ARPT | GA | 781 | 29 | 0 | 1,990 | 2,026 |
KABE | LEHIGH VALLEY INTL | PA | 769 | 23 | 0 | 1,990 | 2,026 |
KPBI | PALM BEACH INTL | FL | 766 | 68 | 0 | 1,990 | 2,026 |
KMSN | DANE COUNTY REGIONAL ARPT-TRUAX FLD | WI | 738 | 22 | 0 | 1,990 | 2,026 |
KCRP | CORPUS CHRISTI INTL ARPT | TX | 736 | 31 | 0 | 1,991 | 2,026 |
KBTR | BATON ROUGE METROPOLITAN, RYAN FIELD | LA | 727 | 15 | 0 | 1,990 | 2,026 |
KPIE | ST. PETE-CLEARWATER INTL ARPT | FL | 724 | 46 | 0 | 1,990 | 2,026 |
KSNA | JOHN WAYNE-ORANGE COUNTY ARPT | CA | 724 | 45 | 0 | 1,990 | 2,026 |
KABQ | ALBUQUERQUE INTL SUNPORT | NM | 720 | 32 | 0 | 1,990 | 2,026 |
KPWM | PORTLAND INTL JETPORT (ME) | ME | 714 | 20 | 0 | 1,990 | 2,026 |
KPIA | PEORIA INTL ARPT | IL | 701 | 28 | 0 | 1,990 | 2,026 |
KBUR | BOB HOPE ARPT | CA | 693 | 36 | 0 | 1,990 | 2,026 |
KTUS | TUCSON INTL | AZ | 672 | 13 | 0 | 1,991 | 2,026 |
Wildlife Strikes on Civil Aircraft in the United States, 1990-2026 (FAA, aggregated)
Aggregated from the FAA Wildlife Strike Database (347,575 reports, January 1990 - July 2026), cleaned and compiled by FlightFinder, an aviation-safety database. Files: strikes by year (total and damaging), by airport (total, damaging, fatalities, first/last year), and top species by strike count.
Interactive version with per-record drill-down: https://himaxym.com/safety/wildlife-strikes
Also published on Zenodo (same data, citable): https://doi.org/10.5281/zenodo.21347860
Paper (methods + damage-rate analysis): https://arxiv.org/abs/2608.12390 — Open versioned aggregates of the FAA National Wildlife Strike Database (1990–2026), with the archived data freeze at https://doi.org/10.5281/zenodo.21758280
Source data: U.S. government work (public domain). Compilation: CC BY 4.0 — please attribute "FlightFinder (himaxym.com)". Counts represent FAA reports, not independently verified incidents.
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