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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
- Source repository: github.com/Nathanzo/tickzone-data
- Also archived with DOIs: Zenodo 10.5281/zenodo.21224287, OSF osf.io/wa5j6, Figshare 10.6084/m9.figshare.32913275.
License: Creative Commons Attribution 4.0 (CC BY 4.0). Please attribute TickZone (https://tickzone.app).
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