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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 2 new columns ({'ARRIVALS', 'EXPENDITURE'}) and 1 missing columns ({'GDP'}).

This happened while the csv dataset builder was generating data using

hf://datasets/absheerakk/global-tourism-analysis/tourism.csv (at revision 7b731fbac12f38b6531b3f791e1b329a46ea1baa), ['hf://datasets/absheerakk/global-tourism-analysis@7b731fbac12f38b6531b3f791e1b329a46ea1baa/gdp.csv', 'hf://datasets/absheerakk/global-tourism-analysis@7b731fbac12f38b6531b3f791e1b329a46ea1baa/tourism.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 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              COUNTRY: string
              YEAR: int64
              ARRIVALS: string
              EXPENDITURE: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 737
              to
              {'COUNTRY': Value('string'), 'YEAR': Value('int64'), 'GDP': Value('float64')}
              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 1683, 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 1839, 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 2 new columns ({'ARRIVALS', 'EXPENDITURE'}) and 1 missing columns ({'GDP'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/absheerakk/global-tourism-analysis/tourism.csv (at revision 7b731fbac12f38b6531b3f791e1b329a46ea1baa), ['hf://datasets/absheerakk/global-tourism-analysis@7b731fbac12f38b6531b3f791e1b329a46ea1baa/gdp.csv', 'hf://datasets/absheerakk/global-tourism-analysis@7b731fbac12f38b6531b3f791e1b329a46ea1baa/tourism.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.

COUNTRY
string
YEAR
int64
GDP
float64
ALBANIA
2,008
2.75707
ALBANIA
2,009
2.66869
ALBANIA
2,010
2.81234
ALBANIA
2,011
2.53477
ALBANIA
2,012
2.35697
ALBANIA
2,013
2.32137
ALBANIA
2,014
2.32641
ALBANIA
2,015
2.44379
ALBANIA
2,016
2.63697
ALBANIA
2,017
2.83579
ALBANIA
2,018
3.08301
ALBANIA
2,019
3.54724
ALBANIA
2,020
2.5657
ALBANIA
2,021
3.02029
ALBANIA
2,022
3.77704
ALBANIA
2,023
5.56238
ALGERIA
2,008
0.77914
ALGERIA
2,009
1.01034
ALGERIA
2,010
0.95513
ALGERIA
2,011
0.82206
ALGERIA
2,012
0.87226
ALGERIA
2,013
1.00661
ALGERIA
2,014
1.03
ALGERIA
2,015
1.15092
ALGERIA
2,016
1.28468
ALGERIA
2,017
1.37483
ALGERIA
2,018
1.39329
ALGERIA
2,019
1.38079
ALGERIA
2,020
0.60856
ALGERIA
2,021
0.81195
ALGERIA
2,022
1.08616
ALGERIA
2,023
1.39349
ANTIGUA AND BARBUDA
2,011
10.53691
ANTIGUA AND BARBUDA
2,012
10.22042
ANTIGUA AND BARBUDA
2,013
10.67817
ANTIGUA AND BARBUDA
2,014
10.93971
ANTIGUA AND BARBUDA
2,015
11.28182
ANTIGUA AND BARBUDA
2,016
11.3816
ANTIGUA AND BARBUDA
2,017
10.83745
ANTIGUA AND BARBUDA
2,018
10.69594
ANTIGUA AND BARBUDA
2,019
10.63667
ANTIGUA AND BARBUDA
2,020
7.52403
ANTIGUA AND BARBUDA
2,021
9.73113
ANTIGUA AND BARBUDA
2,022
11.70779
AZERBAIJAN
2,016
3.7
AZERBAIJAN
2,022
2.22808
AZERBAIJAN
2,023
3.73161
ARGENTINA
2,016
1.91767
ARGENTINA
2,017
1.98626
ARGENTINA
2,018
1.83979
ARGENTINA
2,019
1.77327
ARGENTINA
2,020
0.88322
ARGENTINA
2,021
0.84015
ARGENTINA
2,022
1.68395
AUSTRALIA
2,008
2.7
AUSTRALIA
2,009
2.8
AUSTRALIA
2,010
2.6
AUSTRALIA
2,011
2.6
AUSTRALIA
2,012
2.6
AUSTRALIA
2,013
2.5
AUSTRALIA
2,014
2.7
AUSTRALIA
2,015
2.9
AUSTRALIA
2,016
2.9
AUSTRALIA
2,017
2.9
AUSTRALIA
2,018
3.1
AUSTRALIA
2,019
2.4
AUSTRALIA
2,020
1.5
AUSTRALIA
2,021
1.6
AUSTRALIA
2,022
2.8
AUSTRALIA
2,023
2.9
AUSTRIA
2,018
5.19838
AUSTRIA
2,019
5.33122
AUSTRIA
2,020
3.36035
AUSTRIA
2,021
2.6604
BAHAMAS
2,012
15.16544
BAHRAIN
2,015
5.17559
BAHRAIN
2,016
6.89328
BAHRAIN
2,017
6.93861
BAHRAIN
2,018
5.78345
BAHRAIN
2,019
6.21983
BAHRAIN
2,020
1.46388
BAHRAIN
2,021
3.03483
BAHRAIN
2,022
5.64767
BAHRAIN
2,023
7.13505
BANGLADESH
2,019
3.02
BELGIUM
2,016
2.18169
BELGIUM
2,019
1.855
BELGIUM
2,020
3.16
BELGIUM
2,021
3.54
BELGIUM
2,022
3.43
BERMUDA
2,008
4.9
BERMUDA
2,009
4.3
BERMUDA
2,010
5.2
BERMUDA
2,011
5.7
BERMUDA
2,012
5.2
BERMUDA
2,013
5
BERMUDA
2,014
4.6
BERMUDA
2,015
4.2
BERMUDA
2,016
4.7
BERMUDA
2,017
4.8
End of preview.

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Check out the documentation for more information.

Global Tourism and GDP Dataset (2008–2021)

Description

This repository contains tourism and economic indicator datasets for multiple countries covering the period 2008–2021.

The datasets are intended for educational purposes, data analysis, visualization, and machine learning applications.

Files

gdp.csv

Contains annual Gross Domestic Product (GDP) values.

Columns

  • Country
  • Year
  • GDP

tourism.csv

Contains annual tourism statistics.

Columns

  • Country
  • Year
  • Arrivals
  • Expenditure

Time Period

2008–2021

Source

The tourism dataset is derived from UN Tourism Statistics (formerly UNWTO), which compiles official international tourism statistics reported by national authorities.

Possible Applications

  • Tourism trend analysis
  • Economic data analysis
  • Machine learning
  • Time series forecasting
  • Data visualization

Notes

This repository is intended for educational and research purposes.

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