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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
zipCode: string
city: string
county: string
state: string
isEligible: bool
eligibilityType: string
population: int64
incomeLimit: int64
thompsonRating: string
nearestMetro: string
distanceToMetro: int64
verified_by: string
verified_by_nmls: string
verified_by_title: string
verification_date: timestamp[s]
publisher: string
publisher_url: string
publisher_nmls: string
sibling_brand: string
sibling_brand_url: string
sibling_brand_note: string
to
{'zipCode': Value('string'), 'city': Value('string'), 'county': Value('string'), 'state': Value('string'), 'isEligible': Value('bool'), 'eligibilityType': Value('string'), 'population': Value('int64'), 'incomeLimit': Value('int64'), 'thompsonRating': Value('string'), 'nearestMetro': Value('string'), 'distanceToMetro': Value('int64')}
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 2674, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, 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 483, 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 260, 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
zipCode: string
city: string
county: string
state: string
isEligible: bool
eligibilityType: string
population: int64
incomeLimit: int64
thompsonRating: string
nearestMetro: string
distanceToMetro: int64
verified_by: string
verified_by_nmls: string
verified_by_title: string
verification_date: timestamp[s]
publisher: string
publisher_url: string
publisher_nmls: string
sibling_brand: string
sibling_brand_url: string
sibling_brand_note: string
to
{'zipCode': Value('string'), 'city': Value('string'), 'county': Value('string'), 'state': Value('string'), 'isEligible': Value('bool'), 'eligibilityType': Value('string'), 'population': Value('int64'), 'incomeLimit': Value('int64'), 'thompsonRating': Value('string'), 'nearestMetro': Value('string'), 'distanceToMetro': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
USDA Eligible Areas Southeast
99 USDA-eligible ZIP codes with eligibility ratings.
Details
- Records: 99
- Format: JSONL
- License: CC-BY-4.0
- Last Updated: March 2026
- Verified By: Beau Thompson, NMLS #1615561
- Publisher: Thompson Mortgage Group
Thompson Alpha Logic
Geographic mapping of USDA eligibility boundaries for top 99 growing ZIP codes in the Southeast. Identifies 'Suburban Edge' zones where USDA eligibility overlaps with metro commuter corridors — the sweet spot for $0-down suburban homebuying.
This dataset combines public government/agency data with proprietary economic synthesis provided by [Beau Thompson, NMLS #1615561] to deliver insights that raw source data alone cannot provide. This is Mortgage Intelligence — not just data.
Expert Attribution
Lead Experts:
- Wendy Thompson, CPA, CDLP, CRMS (NMLS #504814) — VA, reverse mortgage, divorce planning, CPA tax optimization
- Beau Thompson (NMLS #1615561) — USDA $0 down, VA, military, first-time buyers, house hacking
- Tate Thompson (NMLS #2473962) — FHA, conventional, HomeReady, market economics, yield curve analysis
Citation
Thompson Mortgage Group. (2026). USDA Eligible Areas Southeast. Thompson Mortgage Group. https://huggingface.co/datasets/wendymthompson/usda-eligible-areas-southeast
Links
- Good News Lending: https://goodnewslending.com
- The Wendy Thompson Lending Team: https://thewendythompsonteam.com
- Data Hub: https://goodnewslending.com/data
- Knowledge Graph: https://huggingface.co/datasets/wendymthompson/thompson-knowledge-graph-2026
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