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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 ({'region'}) and 1 missing columns ({'city'}). This happened while the csv dataset builder was generating data using hf://datasets/HackerNoon/where-startups-trend/votes by continent.csv (at revision a35dba9e06cf839c38f2cfbebf4313747eeba97f) 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 2013, 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 region: string SUM of votes: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 492 to {'city': Value(dtype='string', id=None), 'SUM of votes': Value(dtype='int64', 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 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 ({'region'}) and 1 missing columns ({'city'}). This happened while the csv dataset builder was generating data using hf://datasets/HackerNoon/where-startups-trend/votes by continent.csv (at revision a35dba9e06cf839c38f2cfbebf4313747eeba97f) 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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city
string | SUM of votes
int64 |
---|---|
Sydney, Australia
| 159,361 |
London, UK
| 138,496 |
Singapore, Singapore
| 38,887 |
Telangana, India
| 22,064 |
San Francisco, CA
| 19,147 |
Austin, TX
| 12,756 |
Mumbai, MH, India
| 12,285 |
Cleveland, OH
| 11,770 |
Bengaluru, KA, India
| 8,452 |
Algiers, Algiers Province, Algeria
| 8,184 |
Manhattan, New York City, NY
| 7,898 |
Chicago, IL
| 5,616 |
Melbourne, Australia
| 4,817 |
SoMa, San Francisco, CA
| 4,630 |
Tel Aviv, Israel
| 4,551 |
Dubai, United Arab Emirates
| 4,063 |
Visakhapatnam, AP, India
| 3,929 |
Toronto, Canada
| 3,902 |
US Misc
| 3,839 |
New York City, NY
| 3,777 |
Berlin, Germany
| 3,773 |
Seattle, WA
| 3,640 |
Los Angeles, CA
| 3,210 |
Palo Alto, CA
| 2,930 |
Warsaw, Poland
| 2,861 |
Miami, FL
| 2,801 |
Powai, Mumbai, India
| 2,503 |
Remote
| 2,481 |
Perth, Australia
| 2,349 |
Ghent, Belgium
| 2,097 |
Boston, MA
| 1,996 |
Dublin, Ireland
| 1,976 |
Amsterdam, Netherlands
| 1,970 |
Bari, Apulia, Italy
| 1,959 |
Downtown San Francisco, CA
| 1,758 |
Kyiv, Ukraine
| 1,709 |
Tallinn, Estonia
| 1,697 |
Lagos, Nigeria
| 1,676 |
Frankfurt Am Main, Germany
| 1,636 |
Paris, France
| 1,553 |
Barcelona, Spain
| 1,481 |
Delhi, India
| 1,312 |
Lisbon, Portugal
| 1,257 |
Alcobendas, Community of Madrid, Spain
| 1,182 |
Houston, TX
| 1,182 |
Hong Kong, China
| 1,181 |
Accra, Ghana
| 1,178 |
Ahmedabad, GJ, India
| 1,157 |
Stockholm, Sweden
| 1,135 |
Zurich, Switzerland
| 1,133 |
Munich, Germany
| 1,047 |
Mexico City, Mexico
| 1,042 |
Gibraltar, UK
| 1,039 |
Washington DC
| 1,039 |
San Diego, CA
| 1,038 |
Santiago, Chile
| 1,030 |
Buenos Aires, Argentina
| 1,015 |
Lombardy, Italy
| 1,001 |
Noida, UP, India
| 958 |
Tokyo, Japan
| 950 |
Chennai, TN, India
| 946 |
San Jose, CA
| 923 |
Seoul, South Korea
| 917 |
Denver, CO
| 901 |
Gurgaon, HR, India
| 900 |
Zug, Switzerland
| 878 |
Hyderabad, TG, India
| 876 |
Oslo, Norway
| 808 |
Turkey Misc
| 741 |
Atlanta, GA
| 716 |
Goa, India
| 716 |
San Francisco, Bay Area, CA
| 702 |
Brooklyn, New York City, NY
| 695 |
Vienna, Austria
| 682 |
Richmond, VA
| 681 |
Sao Paulo, Brazil
| 667 |
Columbus, OH
| 662 |
Pune, MH, India
| 623 |
Jaipur, RJ, India
| 619 |
Kuala Lumpur, Malaysia
| 609 |
England, UK
| 552 |
Iceland Misc
| 551 |
Charlottesville, VA
| 530 |
Pittsburgh, PA
| 510 |
Montreal, Quebec, Canada
| 504 |
Copenhagen, Denmark
| 503 |
Vancouver, WA
| 490 |
Baku, Azerbaijan
| 489 |
Madrid, Spain
| 466 |
New Delhi, DL, India
| 433 |
San Mateo, CA
| 428 |
Israel Misc
| 398 |
Atasehir, Istanbul, Turkey
| 396 |
Vilnius, Lithuania
| 390 |
Phasi Charoen, Bangkok, Thailand
| 381 |
JLT, Dubai, United Arab Emirates
| 374 |
Tampa, FL
| 374 |
Rome, Italy
| 372 |
Sweden Misc
| 370 |
Bangkok, Thailand
| 352 |
End of preview.
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