The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 8 new columns ({'used-auto_wow', 'auto-loan_wow', 'auto-loan', 'week_ending', 'source', 'used-auto', 'new-auto', 'new-auto_wow'}) and 8 missing columns ({'burden_band', 'rank', 'observation_date', 'premium_pct_of_median_income', 'state_name', 'naic_data_year', 'state_abbr', 'aibi_score'}).
This happened while the csv dataset builder was generating data using
hf://datasets/MonitorBankRates/us-bank-rate-averages/auto_loan_national.csv (at revision b34f455f7df2fbd2cf8de7d086ebe0c9022626e6), ['hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/aibi_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/auto_loan_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/cd_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/cd_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/credit_card_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hai_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hai_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hibi_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/money_market_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/money_market_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/mortgage_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/personal_loan_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/savings_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/savings_states.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
week_ending: string
new-auto: string
used-auto: string
auto-loan: double
new-auto_wow: double
used-auto_wow: double
auto-loan_wow: double
source: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1245
to
{'rank': Value('float64'), 'state_abbr': Value('string'), 'state_name': Value('string'), 'aibi_score': Value('float64'), 'burden_band': Value('string'), 'premium_pct_of_median_income': Value('float64'), 'naic_data_year': Value('int64'), 'observation_date': 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 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 8 new columns ({'used-auto_wow', 'auto-loan_wow', 'auto-loan', 'week_ending', 'source', 'used-auto', 'new-auto', 'new-auto_wow'}) and 8 missing columns ({'burden_band', 'rank', 'observation_date', 'premium_pct_of_median_income', 'state_name', 'naic_data_year', 'state_abbr', 'aibi_score'}).
This happened while the csv dataset builder was generating data using
hf://datasets/MonitorBankRates/us-bank-rate-averages/auto_loan_national.csv (at revision b34f455f7df2fbd2cf8de7d086ebe0c9022626e6), ['hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/aibi_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/auto_loan_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/cd_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/cd_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/credit_card_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hai_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hai_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/hibi_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/money_market_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/money_market_states.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/mortgage_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/personal_loan_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/savings_national.csv', 'hf://datasets/MonitorBankRates/us-bank-rate-averages@b34f455f7df2fbd2cf8de7d086ebe0c9022626e6/savings_states.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.
rank float64 | state_abbr string | state_name string | aibi_score float64 | burden_band string | premium_pct_of_median_income float64 | naic_data_year int64 | observation_date string |
|---|---|---|---|---|---|---|---|
1 | LA | Louisiana | 165.9 | Severe | 2.87 | 2,022 | 2026-09-04 |
2 | FL | Florida | 142.1 | Severe | 2.28 | 2,022 | 2026-09-04 |
3 | NY | New York | 128.4 | High | 1.95 | 2,022 | 2026-09-04 |
4 | GA | Georgia | 123.4 | High | 1.96 | 2,022 | 2026-09-04 |
5 | MS | Mississippi | 123.2 | High | 2.18 | 2,022 | 2026-09-04 |
6 | MI | Michigan | 120.9 | High | 1.96 | 2,022 | 2026-09-04 |
7 | RI | Rhode Island | 119.1 | High | 1.79 | 2,022 | 2026-09-04 |
8 | TX | Texas | 118.9 | High | 1.87 | 2,022 | 2026-09-04 |
9 | SC | South Carolina | 116.3 | High | 1.92 | 2,022 | 2026-09-04 |
10 | NV | Nevada | 115.1 | High | 1.82 | 2,022 | 2026-09-04 |
11 | DC | District of Columbia | 108.9 | Moderate | 1.48 | 2,022 | 2026-09-04 |
12 | AR | Arkansas | 107.7 | Moderate | 1.86 | 2,022 | 2026-09-04 |
13 | DE | Delaware | 107.1 | Moderate | 1.64 | 2,022 | 2026-09-04 |
14 | OK | Oklahoma | 106.7 | Moderate | 1.8 | 2,022 | 2026-09-04 |
15 | WV | West Virginia | 105.9 | Moderate | 1.84 | 2,022 | 2026-09-04 |
16 | NM | New Mexico | 105.6 | Moderate | 1.79 | 2,022 | 2026-09-04 |
17 | NJ | New Jersey | 105.1 | Moderate | 1.47 | 2,022 | 2026-09-04 |
18 | CO | Colorado | 104.3 | Moderate | 1.51 | 2,022 | 2026-09-04 |
19 | AL | Alabama | 103.7 | Moderate | 1.76 | 2,022 | 2026-09-04 |
20 | AZ | Arizona | 102.9 | Moderate | 1.61 | 2,022 | 2026-09-04 |
21 | KY | Kentucky | 99.4 | Moderate | 1.69 | 2,022 | 2026-09-04 |
22 | CT | Connecticut | 98.9 | Moderate | 1.43 | 2,022 | 2026-09-04 |
23 | MO | Missouri | 97.8 | Moderate | 1.6 | 2,022 | 2026-09-04 |
24 | MD | Maryland | 95.7 | Moderate | 1.34 | 2,022 | 2026-09-04 |
25 | TN | Tennessee | 92.4 | Moderate | 1.52 | 2,022 | 2026-09-04 |
26 | MT | Montana | 91.7 | Moderate | 1.49 | 2,022 | 2026-09-04 |
27 | PA | Pennsylvania | 90.9 | Moderate | 1.44 | 2,022 | 2026-09-04 |
28 | CA | California | 88.3 | Moderate | 1.26 | 2,022 | 2026-09-04 |
29 | KS | Kansas | 88 | Moderate | 1.42 | 2,022 | 2026-09-04 |
30 | WY | Wyoming | 87 | Moderate | 1.39 | 2,022 | 2026-09-04 |
31 | NE | Nebraska | 86.3 | Moderate | 1.37 | 2,022 | 2026-09-04 |
32 | MA | Massachusetts | 86.1 | Moderate | 1.2 | 2,022 | 2026-09-04 |
33 | OR | Oregon | 85.1 | Moderate | 1.31 | 2,022 | 2026-09-04 |
34 | SD | South Dakota | 85 | Moderate | 1.36 | 2,022 | 2026-09-04 |
35 | AK | Alaska | 84.7 | Low | 1.24 | 2,022 | 2026-09-04 |
36 | IL | Illinois | 84.2 | Low | 1.3 | 2,022 | 2026-09-04 |
37 | NC | North Carolina | 84.1 | Low | 1.37 | 2,022 | 2026-09-04 |
38 | UT | Utah | 81.6 | Low | 1.19 | 2,022 | 2026-09-04 |
39 | WA | Washington | 79.9 | Low | 1.15 | 2,022 | 2026-09-04 |
40 | MN | Minnesota | 79.8 | Low | 1.19 | 2,022 | 2026-09-04 |
41 | OH | Ohio | 77.9 | Low | 1.27 | 2,022 | 2026-09-04 |
42 | IN | Indiana | 77.3 | Low | 1.26 | 2,022 | 2026-09-04 |
43 | VA | Virginia | 77.1 | Low | 1.13 | 2,022 | 2026-09-04 |
44 | IA | Iowa | 75 | Low | 1.2 | 2,022 | 2026-09-04 |
45 | ID | Idaho | 71.5 | Low | 1.13 | 2,022 | 2026-09-04 |
46 | ND | North Dakota | 71.4 | Low | 1.14 | 2,022 | 2026-09-04 |
47 | WI | Wisconsin | 71.4 | Low | 1.13 | 2,022 | 2026-09-04 |
48 | ME | Maine | 69.6 | Low | 1.12 | 2,022 | 2026-09-04 |
49 | VT | Vermont | 67.7 | Low | 1.05 | 2,022 | 2026-09-04 |
50 | HI | Hawaii | 66.8 | Low | 0.95 | 2,022 | 2026-09-04 |
51 | NH | New Hampshire | 64.7 | Low | 0.92 | 2,022 | 2026-09-04 |
null | US | United States (baseline) | 100 | Baseline | 1.56 | 2,022 | 2026-09-04 |
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End of preview.