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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 1 new columns ({'2020()'}) and 1 missing columns ({'2019(1)'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DataForGood/taxobservatory_data/csv/ACS_2020_CbCR_2.csv (at revision b7a764280a74ebfa4e81f76f2f2859dad206c1a5)
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
Unnamed: 0: string
Unnamed: 1: string
TAXES PAID: string
2020(): string
Unnamed: 4: string
Unnamed: 5: string
Unnamed: 6: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1092
to
{'Unnamed: 0': Value(dtype='string', id=None), 'Unnamed: 1': Value(dtype='string', id=None), 'TAXES PAID': Value(dtype='string', id=None), '2019(1)': Value(dtype='string', id=None), 'Unnamed: 4': Value(dtype='string', id=None), 'Unnamed: 5': Value(dtype='string', id=None), 'Unnamed: 6': Value(dtype='string', 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 1 new columns ({'2020()'}) and 1 missing columns ({'2019(1)'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DataForGood/taxobservatory_data/csv/ACS_2020_CbCR_2.csv (at revision b7a764280a74ebfa4e81f76f2f2859dad206c1a5)
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? Open a discussion for direct support.
Unnamed: 0
string | Unnamed: 1
string | TAXES PAID
string | 2019(1)
string | Unnamed: 4
string | Unnamed: 5
string | Unnamed: 6
string |
|---|---|---|---|---|---|---|
Country | TOTAL | Profits tax paid | Other taxes paid | Taxes collected | Pre-tax profit(6) | Subsidies received |
Australia | 1,030,575 | 117,455 | 215,423 | 697,697 | -1,165,702 | null |
Spain | 947,216 | -154,410 (2) | 412,460 | 689,166 | 546,727 | 909 |
United States | 572,290 | 49,474 | 109,278 | 413,538 | 65,504 | null |
Germany | 222,848 | 3,533 | 46,861 | 172,454 | -74,849 | null |
Mexico | 102,618 | 27,842 | 1,834 | 72,942 | 49,638 | null |
Indonesia | 97,902 | 73,399 | 5,950 | 18,553 | 252,258 | null |
Peru | 72,738 | 23,141 | 5,859 | 43,738 | 58,092 | null |
Brazil | 68,863 | 22,475 | 39,582 | 6,807 | 157,964 | null |
United Kingdom | 53,366 | -2,420 (2) | 12,803 | 42,982 | 16,738 | null |
Canada | 46,873 | -2,242 (2) | 8,709 | 40,407 | 90,282 | null |
Chile | 35,364 | 2,509 | 5,579 | 27,275 | -21,959 | null |
Portugal | 24,161 | 3,145 | 9,690 | 11,326 | 10,382 | null |
Singapore | 21,640 | 18,100 | 2,932 | 608 | -24,528 | null |
Argentina | 18,044 | 596 | 7,437 | 10,010 | 7,917 | null |
India | 12,287 | 1,103 | 1,208 | 9,976 | 6,205 | null |
New Zealand | 11,115 | 13 | 2,456 | 8,645 | 30,286 | null |
Philippines | 10,848 | 2,024 | 1,345 | 7,478 | 10,134 | null |
Hong Kong | 9,016 | 8,376 | 411 | 229 | 95,268 | null |
Mongolia | 8,033 | 3,811 | 1,806 | 2,417 | 25,609 | null |
Botswana | 7,853 | 2,321 | 185 | 5,347 | 34,246 | null |
Panama | 6,521 | 661 | 2,964 | 2,896 | 10,118 | null |
Saudi Arabia | 6,027 | 1,093 | 794 | 4,140 | 28,693 | null |
Luxembourg | 2,239 | 23 | 389 | 1,827 | 33,354 | null |
Others (*) (3) | 123,039 | 6,141 | 89,396 | 27,502 | -111,020 | null |
Unattributable consolidation adjustments(4) | null | null | null | null | -57,616 | null |
TOTAL | 3,511,477 | 208,166 (5) | 985,351 | 2,317,960 | 73,741 | 909 |
Country | TOTAL | Profits tax paid | null | Taxes collected | Pre-tax profit² | Subsidies received |
Spain | 1,357,385 | 91,936 | null | 734,491 | 666,350 | 538 |
United States | 635,352 | 55,959 | null | 482,871 | 31,342 | null |
Australia | 629,832 | 6,865 (3) | null | 427,937 | 552,326 | null |
Germany | 120,063 | 4,771 | null | 79,162 | -30,498 | null |
Indonesia | 94,849 | 33,217 | null | 45,661 | -58,024 | null |
Brazil | 67,586 | 41,093 | null | 9,425 | 110,981 | null |
United Kingdom | 52,325 | 1,580 (3) | null | 40,572 | 14,627 | null |
Chile | 45,662 | 11 | null | 34,202 | -73,946 | null |
Mexico | 41,139 | 39,018 | null | -18,107 | 43,264 | null |
Singapore | 36,950 | 35,996 (3) | null | -150 | 37,190 | null |
Peru | 36,694 | 13,109 | null | 19,268 | 47,213 | null |
Poland | 23,510 | 336 | null | 17,138 | -24,525 | null |
Canada | 21,721 | 5,725 (3) | null | 12,593 | 158,026 | null |
Portugal | 19,855 | 366 (3) | null | 10,642 | 13,686 | null |
New Zealand | 19,511 | 316 | null | 17,932 | -76,442 | null |
Argentina | 14,083 | 1,877 | null | 6,426 | -954 | null |
Mongolia | 12,357 | 12,054 | null | -1,071 | -13,442 | null |
Israel | 10,533 | -307 | null | 9,200 | 747 | null |
Czech Republic | 9,440 | 94 | null | 3,871 | 1,753 | null |
Luxembourg | 8,946 | 3,991 | null | 3,936 | 40,042 | null |
Netherlands | 8,551 | 10 | null | 8,397 | 72 | null |
Colombia | 8,440 | 42 | null | 5,011 | -23,411 | null |
France | 8,389 | 248 | null | 1,455 | 4,747 | null |
Panama | 7,810 | 464 | null | 3,218 | 5,159 | null |
India | 7,303 | 449 | null | 5,014 | -6,189 | null |
Italy | 5,919 | 0 | null | 3,858 | 476 | null |
Japan | 5,702 | 1 | null | 5,152 | -5,093 | null |
Botswana | 5,683 | 2,330 | null | 2,480 | 27,705 | null |
Hong Kong | 5,502 | 4,935 | null | 206 | -13,192 | null |
Ecuador | 5,477 | 1,191 | null | 2,882 | 7,656 | null |
Others (*) | 36,073 | 4,067 | null | -54,189 | -69,748 | null |
Unattributable consolidation adjustments(4) | null | null | null | null | -292,112 | null |
TOTAL | 3,362,640 | 361,742 (5) | null | 1,919,483 | 1,075,788 | 538 |
Country | TOTAL | Profits tax paid (1) | null | Taxes collected | Pre-tax profit(3) | Subsidies received |
Spain | 846,868 | 10,331 | null | 488,955 | -17,792 | 246 |
United States | 671,565 | 101,011 | null | 388,477 | 202,678 | null |
Australia | 343,849 | -15,094 | null | 198,779 | 282,780 | null |
Canada | 53,798 | 28,452 | null | 18,790 | -139,104 | null |
United Kingdom | 33,522 | -132 | null | 21,692 | 22,540 | null |
Poland | 22,742 | 319 | null | 15,411 | -671 | null |
New Zealand | 22,099 | 2 | null | 19,423 | -121,651 | null |
Chile | 13,328 | 2,448 | null | 9,851 | -10,443 | null |
Germany | 11,437 | 5,048 | null | -25,460 | -204,267 | null |
Portugal | 11,077 | 1,062 | null | 6,421 | -422 | null |
Argentina | 9,435 | 226 | null | 6,016 | 2,486 | null |
Czech Republic | 8,909 | 623 | null | 2,887 | -127 | null |
Peru | 7,239 | 553 | null | 5,699 | 5,152 | null |
India | 6,436 | -2,324 | null | 7,097 | 4,706 | null |
Luxmbourg | 6,275 | 2,124 | null | 2,892 | 37,901 | null |
Singapore | 6,203 | 4,985 | null | 137 | -15,626 | null |
Mexico | 6,111 | 91 | null | 5,826 | 53,658 | null |
Indonesia | 6,069 | 1,450 | null | 4,147 | -30,372 | null |
Others (*) | 15,778 | 4,331 | null | 6,912 | 67,561 | null |
Unattributable consolidation adjustments & equity method results (4) | null | null | null | null | 222,999 | null |
TOTAL | 2,102,740 | 145,506 | null | 1,183,952 | 361,986 | 246 |
Provisions for revaluation of operating risks | null | null | null | null | null | null |
- Spain | null | null | null | null | -133,844 | null |
- United States | null | null | null | null | -170,640 | null |
Profit before taxes | null | null | null | null | 57,502 | null |
Income from discontinued operations, taxes and minority interest | null | null | null | null | 2,987,911 | null |
RESULT OF PARENT COMPANY | null | null | null | null | 3,045,413 | null |
null | null | TAXES PAID | null | null | null | null |
Country | TOTAL | Profits tax paid (1) | null | Taxes collected | Pre-tax profit(3) | Subsidies received |
Spain | 830,027 | 77,304 | null | 429,720 | 464,653 | 538 |
United States | 633,502 | 55,494 | null | 406,948 | 24,878 | null |
Australia | 617,401 | 5,239 | null | 418,411 | 550,253 | null |
Germany | 120,063 | 4,771 | null | 79,162 | -31,409 | null |
Indonesia | 94,849 | 33,217 | null | 45,661 | -58,024 | null |
Singapore | 37,123 | 35,959 | null | 61 | 36,972 | null |
United Kingdom | 34,336 | 1,119 | null | 23,123 | 6,042 | null |
Poland | 22,477 | 178 | null | 16,467 | -24,631 | null |
Canada | 19,959 | 5,087 | null | 11,557 | 158,148 | null |
End of preview.
This dataset contains an initial dump of some 400 country by country reports published
by multinational corporations and collected by the EU Tax Observatory.
These files are located in the pdf and xls directories. The csv directory
contains reference files which have been manually curated representing the results of what
should be extracted from the pdf and xlsx files.
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