Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'skipped_file', 'kept_file'}) and 9 missing columns ({'queries_tried', 'state_geocoded', 'lat', 'State_Hint', 'lon', 'num_candidates', 'City', 'alt_states_seen', 'confidence'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AtmosIQ/cpcb/duplicate_downloads.csv (at revision 60b91f4c7c1216cdd4c7b22926def88be5ef7a5b), ['hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/cities_needs_review.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/duplicate_downloads.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/merged_cpcb_clean.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/merged_cpcb_data.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/state_mismatch_audit.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
              kept_file: string
              skipped_file: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 519
              to
              {'City': Value('string'), 'State_Hint': Value('string'), 'confidence': Value('string'), 'lat': Value('float64'), 'lon': Value('float64'), 'state_geocoded': Value('string'), 'alt_states_seen': Value('string'), 'num_candidates': Value('int64'), 'queries_tried': Value('string')}
              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 ({'skipped_file', 'kept_file'}) and 9 missing columns ({'queries_tried', 'state_geocoded', 'lat', 'State_Hint', 'lon', 'num_candidates', 'City', 'alt_states_seen', 'confidence'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AtmosIQ/cpcb/duplicate_downloads.csv (at revision 60b91f4c7c1216cdd4c7b22926def88be5ef7a5b), ['hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/cities_needs_review.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/duplicate_downloads.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/merged_cpcb_clean.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/merged_cpcb_data.csv', 'hf://datasets/AtmosIQ/cpcb@60b91f4c7c1216cdd4c7b22926def88be5ef7a5b/state_mismatch_audit.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.

City
string
State_Hint
string
confidence
string
lat
null
lon
null
state_geocoded
null
alt_states_seen
null
num_candidates
int64
queries_tried
string
Bileipada
Odisha
not_found
null
null
null
null
0
Bileipada, Odisha, India | Bileipada, India
DU Delhi
Delhi
not_found
null
null
null
null
0
DU Delhi, Delhi, India | DU Delhi, India
Milupara
Chhattisgarh
not_found
null
null
null
null
0
Milupara, Chhattisgarh, India | Milupara, India
Tumidih
Chhattisgarh
not_found
null
null
null
null
0
Tumidih, Chhattisgarh, India | Tumidih, India
Suakati
Odisha
not_found
null
null
null
null
0
Suakati, Odisha, India | Suakati, India
Palkalaiperur
Tamil Nadu
not_found
null
null
null
null
0
Palkalaiperur, Tamil Nadu, India | Palkalaiperur, India
Kunjemura
Bihar
not_found
null
null
null
null
0
Kunjemura, Bihar, India | Kunjemura, India
Bilaspur
Bihar
low_ambiguous
null
null
null
null
5
Bilaspur, Bihar, India | Bilaspur, India
Bhilai
Bihar
low_ambiguous
null
null
null
null
5
Bhilai, Bihar, India | Bhilai, India
Panchgaon
Haryana
low_ambiguous
null
null
null
null
5
Panchgaon, Haryana, India | Panchgaon, India
Chhal
Bihar
medium_state_mismatch
null
null
null
null
1
Chhal, Bihar, India | Chhal, India
Byrnihat
Assam
medium_state_mismatch
null
null
null
null
1
Byrnihat, Assam, India | Byrnihat, India
Dilshad Garden Delhi
Delhi
medium_state_mismatch
null
null
null
null
5
Dilshad Garden Delhi, Delhi, India
Delhi
Delhi
medium_state_mismatch
null
null
null
null
1
Delhi, Delhi, India
Korba
Bihar
medium_state_mismatch
null
null
null
null
2
Korba, Bihar, India | Korba, India
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
End of preview.

No dataset card yet

Downloads last month
74