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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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