Split (1)

train

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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? Make sure to review how to configure the dataset viewer, and 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.

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