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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)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.
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.
To celebrate the return of HackerNoon Startups of the Year we've open sourced our previous Startup of the Year votes. This dataset includes every city above half a million ppl, tens of thousands of startups with meta data like homepage and company description, as well as, 600k+ votes for these startups on HackerNoon.
Learn more about startups, tech company media coverage, and business blogging.
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