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The dataset generation failed because of a cast error
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 13 new columns ({'Record Status', 'Abundance', 'Common Names', 'Nativeness', 'Seasonality', 'Conservation Status', 'Family', 'Occurrence', 'Scientific Name', 'Order', 'Category', 'Unnamed: 13', 'Species ID'}) and 5 missing columns ({'Longitude', 'Acres', 'State', 'Park Code', 'Latitude'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Solshine/Biodiversity_In_National_Parks/species.csv (at revision 4c46ec3a9ce0d63521f23304653d6572b9d4e681)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Species ID: string
              Park Name: string
              Category: string
              Order: string
              Family: string
              Scientific Name: string
              Common Names: string
              Record Status: string
              Occurrence: string
              Nativeness: string
              Abundance: string
              Seasonality: string
              Conservation Status: string
              Unnamed: 13: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1959
              to
              {'Park Code': Value(dtype='string', id=None), 'Park Name': Value(dtype='string', id=None), 'State': Value(dtype='string', id=None), 'Acres': Value(dtype='int64', id=None), 'Latitude': Value(dtype='float64', id=None), 'Longitude': Value(dtype='float64', id=None)}
              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 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 13 new columns ({'Record Status', 'Abundance', 'Common Names', 'Nativeness', 'Seasonality', 'Conservation Status', 'Family', 'Occurrence', 'Scientific Name', 'Order', 'Category', 'Unnamed: 13', 'Species ID'}) and 5 missing columns ({'Longitude', 'Acres', 'State', 'Park Code', 'Latitude'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Solshine/Biodiversity_In_National_Parks/species.csv (at revision 4c46ec3a9ce0d63521f23304653d6572b9d4e681)
              
              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.

Park Code
string
Park Name
string
State
string
Acres
int64
Latitude
float64
Longitude
float64
ACAD
Acadia National Park
ME
47,390
44.35
-68.21
ARCH
Arches National Park
UT
76,519
38.68
-109.57
BADL
Badlands National Park
SD
242,756
43.75
-102.5
BIBE
Big Bend National Park
TX
801,163
29.25
-103.25
BISC
Biscayne National Park
FL
172,924
25.65
-80.08
BLCA
Black Canyon of the Gunnison National Park
CO
32,950
38.57
-107.72
BRCA
Bryce Canyon National Park
UT
35,835
37.57
-112.18
CANY
Canyonlands National Park
UT
337,598
38.2
-109.93
CARE
Capitol Reef National Park
UT
241,904
38.2
-111.17
CAVE
Carlsbad Caverns National Park
NM
46,766
32.17
-104.44
CHIS
Channel Islands National Park
CA
249,561
34.01
-119.42
CONG
Congaree National Park
SC
26,546
33.78
-80.78
CRLA
Crater Lake National Park
OR
183,224
42.94
-122.1
CUVA
Cuyahoga Valley National Park
OH
32,950
41.24
-81.55
DENA
Denali National Park and Preserve
AK
3,372,402
63.33
-150.5
DEVA
Death Valley National Park
CA, NV
4,740,912
36.24
-116.82
DRTO
Dry Tortugas National Park
FL
64,701
24.63
-82.87
EVER
Everglades National Park
FL
1,508,538
25.32
-80.93
GAAR
Gates Of The Arctic National Park and Preserve
AK
7,523,898
67.78
-153.3
GLAC
Glacier National Park
MT
1,013,572
48.8
-114
GLBA
Glacier Bay National Park and Preserve
AK
3,224,840
58.5
-137
GRBA
Great Basin National Park
NV
77,180
38.98
-114.3
GRCA
Grand Canyon National Park
AZ
1,217,403
36.06
-112.14
GRSA
Great Sand Dunes National Park and Preserve
CO
42,984
37.73
-105.51
GRSM
Great Smoky Mountains National Park
TN, NC
521,490
35.68
-83.53
GRTE
Grand Teton National Park
WY
309,995
43.73
-110.8
GUMO
Guadalupe Mountains National Park
TX
86,416
31.92
-104.87
HALE
Haleakala National Park
HI
29,094
20.72
-156.17
HAVO
Hawaii Volcanoes National Park
HI
323,431
19.38
-155.2
HOSP
Hot Springs National Park
AR
5,550
34.51
-93.05
ISRO
Isle Royale National Park
MI
571,790
48.1
-88.55
JOTR
Joshua Tree National Park
CA
789,745
33.79
-115.9
KATM
Katmai National Park and Preserve
AK
3,674,530
58.5
-155
KEFJ
Kenai Fjords National Park
AK
669,983
59.92
-149.65
KOVA
Kobuk Valley National Park
AK
1,750,717
67.55
-159.28
LACL
Lake Clark National Park and Preserve
AK
2,619,733
60.97
-153.42
LAVO
Lassen Volcanic National Park
CA
106,372
40.49
-121.51
MACA
Mammoth Cave National Park
KY
52,830
37.18
-86.1
MEVE
Mesa Verde National Park
CO
52,122
37.18
-108.49
MORA
Mount Rainier National Park
WA
235,625
46.85
-121.75
NOCA
North Cascades National Park
WA
504,781
48.7
-121.2
OLYM
Olympic National Park
WA
922,651
47.97
-123.5
PEFO
Petrified Forest National Park
AZ
93,533
35.07
-109.78
PINN
Pinnacles National Park
CA
26,606
36.48
-121.16
REDW
Redwood National Park
CA
112,512
41.3
-124
ROMO
Rocky Mountain National Park
CO
265,828
40.4
-105.58
SAGU
Saguaro National Park
AZ
91,440
32.25
-110.5
SEKI
Sequoia and Kings Canyon National Parks
CA
865,952
36.43
-118.68
SHEN
Shenandoah National Park
VA
199,045
38.53
-78.35
THRO
Theodore Roosevelt National Park
ND
70,447
46.97
-103.45
VOYA
Voyageurs National Park
MN
218,200
48.5
-92.88
WICA
Wind Cave National Park
SD
28,295
43.57
-103.48
WRST
Wrangell - St Elias National Park and Preserve
AK
8,323,148
61
-142
YELL
Yellowstone National Park
WY, MT, ID
2,219,791
44.6
-110.5
YOSE
Yosemite National Park
CA
761,266
37.83
-119.5
ZION
Zion National Park
UT
146,598
37.3
-113.05
null
Acadia National Park
null
null
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Acadia National Park
null
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Acadia National Park
null
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Acadia National Park
null
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Acadia National Park
null
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null
Acadia National Park
null
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null
Acadia National Park
null
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Acadia National Park
null
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Acadia National Park
null
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
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Acadia National Park
null
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null
null
null
Acadia National Park
null
null
null
null
null
Acadia National Park
null
null
null
null
End of preview.

About Dataset Context The National Park Service publishes a database of animal and plant species identified in individual national parks and verified by evidence — observations, vouchers, or reports that document the presence of a species in a park. All park species records are available to the public on the National Park Species portal; exceptions are made for sensitive, threatened, or endangered species when widespread distribution of information could pose a risk to the species in the park.

Content National Park species lists provide information on the presence and status of species in our national parks. These species lists are works in progress and the absence of a species from a list does not necessarily mean the species is absent from a park. The time and effort spent on species inventories varies from park to park, which may result in data gaps. Species taxonomy changes over time and reflects regional variations or preferences; therefore, records may be listed under a different species name.

Each park species record includes a species ID, park name, taxonomic information, scientific name, one or more common names, record status, occurrence (verification of species presence in park), nativeness (species native or foreign to park), abundance (presence and visibility of species in park), seasonality (season and nature of presence in park), and conservation status (species classification according to US Fish & Wildlife Service). Taxonomic classes have been translated from Latin to English for species categorization; order, family, and scientific name (genus, species, subspecies) are in Latin.

Acknowledgements The National Park Service species list database is managed and updated by staff at individual national parks and the systemwide Inventory and Monitoring department.

Source: https://irma.nps.gov/NPSpecies Also available on Kaggle: https://www.kaggle.com/datasets/nationalparkservice/park-biodiversity

Users interested in getting this data via web services, please go to: http://irmaservices.nps.gov

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