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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 10 new columns ({'town', 'land_area_sq_mi', 'county', 'lat', 'state_name', 'tickzone_url', 'slug', 'state', 'lng', 'population'}) and 5 missing columns ({'american_dog_tick_dermacentor_variabilis', 'state_slug', 'county_slug', 'deer_tick_ixodes_scapularis', 'lone_star_tick_amblyomma_americanum'}).

This happened while the csv dataset builder was generating data using

hf://datasets/tickzone/tickzone-northeast-tick-risk/towns.csv (at revision ab44ece162ecda71cd9e1115c0d5bcd18af4adb4), ['hf://datasets/tickzone/tickzone-northeast-tick-risk@ab44ece162ecda71cd9e1115c0d5bcd18af4adb4/county-tick-species.csv', 'hf://datasets/tickzone/tickzone-northeast-tick-risk@ab44ece162ecda71cd9e1115c0d5bcd18af4adb4/towns.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 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              town: string
              state: string
              state_name: string
              county: string
              slug: string
              lat: double
              lng: double
              land_area_sq_mi: double
              population: double
              tickzone_url: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1428
              to
              {'state_slug': Value('string'), 'county_slug': Value('string'), 'deer_tick_ixodes_scapularis': Value('string'), 'american_dog_tick_dermacentor_variabilis': Value('string'), 'lone_star_tick_amblyomma_americanum': Value('string')}
              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 1683, 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 1839, 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 10 new columns ({'town', 'land_area_sq_mi', 'county', 'lat', 'state_name', 'tickzone_url', 'slug', 'state', 'lng', 'population'}) and 5 missing columns ({'american_dog_tick_dermacentor_variabilis', 'state_slug', 'county_slug', 'deer_tick_ixodes_scapularis', 'lone_star_tick_amblyomma_americanum'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/tickzone/tickzone-northeast-tick-risk/towns.csv (at revision ab44ece162ecda71cd9e1115c0d5bcd18af4adb4), ['hf://datasets/tickzone/tickzone-northeast-tick-risk@ab44ece162ecda71cd9e1115c0d5bcd18af4adb4/county-tick-species.csv', 'hf://datasets/tickzone/tickzone-northeast-tick-risk@ab44ece162ecda71cd9e1115c0d5bcd18af4adb4/towns.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.

state_slug
string
county_slug
string
deer_tick_ixodes_scapularis
string
american_dog_tick_dermacentor_variabilis
string
lone_star_tick_amblyomma_americanum
string
connecticut
fairfield
established
established
established
connecticut
hartford
established
established
none
connecticut
litchfield
established
established
none
connecticut
middlesex
established
established
none
connecticut
new-haven
established
established
established
connecticut
new-london
established
established
established
connecticut
tolland
established
established
none
connecticut
windham
established
established
reported
maine
androscoggin
established
established
reported
maine
aroostook
established
reported
none
maine
cumberland
established
established
reported
maine
franklin
established
established
reported
maine
hancock
established
established
reported
maine
kennebec
established
established
reported
maine
knox
established
established
reported
maine
lincoln
established
established
reported
maine
oxford
established
established
reported
maine
penobscot
established
established
reported
maine
piscataquis
established
reported
none
maine
sagadahoc
established
established
reported
maine
somerset
established
established
none
maine
waldo
established
established
reported
maine
washington
established
reported
none
maine
york
established
established
reported
massachusetts
barnstable
established
established
reported
massachusetts
berkshire
established
established
none
massachusetts
bristol
established
established
none
massachusetts
dukes
established
established
established
massachusetts
essex
established
established
none
massachusetts
franklin
established
established
none
massachusetts
hampden
established
reported
none
massachusetts
hampshire
established
established
none
massachusetts
middlesex
established
established
reported
massachusetts
nantucket
established
established
reported
massachusetts
norfolk
established
established
none
massachusetts
plymouth
established
established
none
massachusetts
suffolk
established
established
none
massachusetts
worcester
established
established
reported
new-hampshire
belknap
established
established
none
new-hampshire
carroll
established
established
none
new-hampshire
cheshire
established
established
none
new-hampshire
coos
established
established
none
new-hampshire
grafton
established
established
none
new-hampshire
hillsborough
established
established
none
new-hampshire
merrimack
established
established
established
new-hampshire
rockingham
established
established
reported
new-hampshire
strafford
established
established
none
new-hampshire
sullivan
established
established
none
new-jersey
atlantic
established
established
established
new-jersey
bergen
established
established
none
new-jersey
burlington
established
established
established
new-jersey
camden
established
reported
established
new-jersey
cape-may
established
established
established
new-jersey
cumberland
established
established
established
new-jersey
essex
established
established
none
new-jersey
gloucester
established
established
established
new-jersey
hudson
established
established
reported
new-jersey
hunterdon
established
established
reported
new-jersey
mercer
established
established
established
new-jersey
middlesex
established
established
established
new-jersey
monmouth
established
established
established
new-jersey
morris
established
established
reported
new-jersey
ocean
established
established
established
new-jersey
passaic
established
established
established
new-jersey
salem
established
established
established
new-jersey
somerset
established
established
established
new-jersey
sussex
established
established
reported
new-jersey
union
established
established
established
new-jersey
warren
established
established
reported
new-york
albany
established
established
established
new-york
allegany
established
none
none
new-york
bronx
established
established
reported
new-york
broome
established
reported
established
new-york
cattaraugus
established
none
established
new-york
cayuga
established
none
none
new-york
chautauqua
established
reported
established
new-york
chemung
established
reported
reported
new-york
chenango
established
none
reported
new-york
clinton
established
reported
reported
new-york
columbia
established
established
established
new-york
cortland
established
none
reported
new-york
delaware
established
reported
established
new-york
dutchess
established
established
reported
new-york
erie
established
reported
established
new-york
essex
established
established
reported
new-york
franklin
established
none
none
new-york
fulton
established
reported
none
new-york
genesee
established
none
reported
new-york
greene
established
established
reported
new-york
hamilton
established
none
reported
new-york
herkimer
established
none
reported
new-york
jefferson
established
reported
reported
new-york
kings
established
established
reported
new-york
lewis
established
none
none
new-york
livingston
established
none
reported
new-york
madison
established
none
reported
new-york
monroe
established
reported
established
new-york
montgomery
established
reported
reported
new-york
nassau
established
established
established
new-york
new-york
established
reported
reported
End of preview.

TickZone Northeast Tick Risk Dataset

Open town-level tick-risk data for all 5,688 towns across the nine states of the U.S. Census Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT), plus per-county establishment status for the three tick species of public-health concern.

Live tool: tickzone.app, a free daily tick-risk forecast. Every town gets a 0 to 100 risk score and a green, amber or red band that updates daily. No account, no ads.

Files

  • towns.csv (5,688 rows): per-town tick-risk score plus the underlying inputs for each town.
  • county-tick-species.csv (217 rows): per-county establishment status for Ixodes scapularis (deer tick), Dermacentor variabilis (American dog tick), and Amblyomma americanum (lone star tick).

How the score is built

Each town's 0 to 100 score combines:

  • CDC county Lyme incidence
  • ESA WorldCover 10 m satellite forest cover and edge density for that town
  • Daily weather favorability for tick activity

Snapshot date: 2026-07-05. Full methodology: tickzone.app/methodology.

Source and citation

License: Creative Commons Attribution 4.0 (CC BY 4.0). Please attribute TickZone (https://tickzone.app).

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