Datasets:

RecSysTUM
/

CityPOIs

Modalities:

Geospatial

License:

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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 5 new columns ({'phone', 'name', 'tourism', 'opening_hours', 'id'}) and 5 missing columns ({'Museum Visitors', 'City', 'Tourists', 'Total nights', 'OSM ID'}).

This happened while the csv dataset builder was generating data using

hf://datasets/RecSysTUM/CityPOIs/csv/aquariums.csv (at revision f9d026d3e0404f054c2277ce869c7310c8c39ca7)

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: int64
              geometry: string
              name: string
              opening_hours: string
              phone: string
              tourism: string
              id: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1056
              to
              {'Unnamed: 0': Value(dtype='int64', id=None), 'City': Value(dtype='string', id=None), 'Tourists': Value(dtype='int64', id=None), 'Total nights': Value(dtype='float64', id=None), 'Museum Visitors': Value(dtype='float64', id=None), 'OSM ID': Value(dtype='int64', id=None), 'geometry': 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 1324, 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 938, 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 5 new columns ({'phone', 'name', 'tourism', 'opening_hours', 'id'}) and 5 missing columns ({'Museum Visitors', 'City', 'Tourists', 'Total nights', 'OSM ID'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/RecSysTUM/CityPOIs/csv/aquariums.csv (at revision f9d026d3e0404f054c2277ce869c7310c8c39ca7)
              
              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 int64	City string	Tourists int64	Total nights float64	Museum Visitors float64	OSM ID int64	geometry string
0	Setúbal	172,900	193,232	36,888	5,401,851	MULTIPOLYGON (((-9.0449876 38.5386718, -9.0449399 38.5384541, -9.0446587 38.5378658, -9.0443113 38.5373602, -9.0437914 38.5367849, -9.0436587 38.5365945, -9.0433372 38.5358841, -9.0432567 38.53564, -9.0432438 38.5353744, -9.0433449 38.5349233, -9.0434584 38.5346286, -9.0441808 38.5330707, -9.0446775 38.5321106, -9.0451584 38.5313789, -9.04549 38.5306529, -9.0456631 38.5302145, -9.0459396 38.5291685, -9.0465496 38.5276768, -9.0465817 38.5273784, -9.0465573 38.5270084, -9.0464566 38.5265076, -9.046284 38.5260719, -9.0459876 38.5254793, -9.0457653 38.524842, -9.0453926 38.524267, -9.0452659 38.523877, -9.0453419 38.5236153, -9.0455082 38.5233261, -9.0458293 38.5231195, -9.0460382 38.5229221, -9.0460617 38.5228388, -9.0460238 38.522526, -9.0460853 38.5219476, -9.0460502 38.5216403, -9.0460139 38.5213071, -9.0459095 38.5197491, -9.0459184 38.5195711, -9.0460713 38.5191173, -9.0472021 38.5170193, -9.0473131 38.5167669, -9.047347 38.5166108, 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1	Perugia	326,772	445,879	131,098	42,106	"MULTIPOLYGON (((11.9248213 43.0757353, 11.9247896 43.0756619, 11.9247081 43.0755848, 11.9247026 43.(...TRUNCATED)
2	Halle an der Saale	46,474	248,515	null	62,638	"MULTIPOLYGON (((11.855254 51.5142684, 11.855264 51.5144607, 11.8554664 51.5144682, 11.8563957 51.51(...TRUNCATED)
4	Veszprém	30,708	70,178	12,513	1,078,442	"MULTIPOLYGON (((17.8284897 47.1757123, 17.8262547 47.1760667, 17.825137 47.1760547, 17.8240017 47.1(...TRUNCATED)
5	Bottrop	13,253	44,209	null	62,634	"MULTIPOLYGON (((6.8328951 51.5799377, 6.8329599 51.579933, 6.8330542 51.579926, 6.8331188 51.579930(...TRUNCATED)
6	Koblenz	113,197	477,529	null	62,512	"MULTIPOLYGON (((7.4821572 50.3494246, 7.4782507 50.3531803, 7.4816738 50.3558441, 7.4853494 50.3563(...TRUNCATED)
7	Debrecen	155,436	198,548	70,591	1,444,234	"MULTIPOLYGON (((21.4406254 47.5266998, 21.5392654 47.5196633, 21.5357195 47.4938023, 21.5358855 47.(...TRUNCATED)
8	Prešov	44,236	50,241	35,556	2,320,257	"MULTIPOLYGON (((21.1571138 48.9727436, 21.1575033 48.9727266, 21.1575625 48.9728589, 21.1575092 48.(...TRUNCATED)
9	Málaga	2,265,823	1,076,061	null	340,746	"MULTIPOLYGON (((-4.5878888 36.784113, -4.5870866 36.7832494, -4.5867807 36.7830913, -4.5860156 36.7(...TRUNCATED)
10	Cáceres	114,310	236,641	null	1,899,973	"MULTIPOLYGON (((-6.8020698 39.3894969, -6.8020541 39.3892093, -6.8017962 39.3883081, -6.8017032 39.(...TRUNCATED)

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