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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)

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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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