Datasets:

---

ArunJRK

/

temple

like 0

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 ({'server_error'})

This happened while the json dataset builder was generating data using

hf://datasets/ArunJRK/temple/files.jsonl (at revision 23c0c185e35b87fcc3e603ef53fc9bcf33cb568b), [/tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/files.jsonl (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/files.jsonl), /tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.json (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.json), /tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.jsonl (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.jsonl)]

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              _id: struct<$oid: string>
                child 0, $oid: string
              id: int64
              name: string
              templeID: string
              button: string
              type: string
              downloaded: bool
              queued: bool
              file: string
              pdfgen: bool
              data: struct<district: string, code: string, village: string, pul_number: string, sand_density_and_grain_s (... 1225 chars omitted)
                child 0, district: string
                child 1, code: string
                child 2, village: string
                child 3, pul_number: string
                child 4, sand_density_and_grain_shape: string
                child 5, subdivision_number: string
                child 6, sand_rate: string
                child 7, old_subdivision_number: string
                child 8, land_value_rupees: string
                child 9, portion: string
                child 10, encumbrance_hectares_acres: string
                child 11, land_type_govt_or_private: string
                child 12, total_value_rupees_paise: string
                child 13, land_category: string
                child 14, patta_number: string
                child 15, pasan_adhaar: string
                child 16, double_cropped: string
                child 17, note: string
                child 18, name: string
                child 19, image: string
                child 20, note_1: string
                child 21, note_2: string
                child 22, note_3: string
                child 23, title: string
                child 24, zone: string
                child 25, plot_number: string
                child 26, v_number: string
                child 27, serial_number: string
                child 28, dry_land_coverage: string
                child 29, dry_land_rate: string
                child 30, wet_land_coverage: string
                child 31, wet_land_rate: string
                child 32, other_coverage: string
                child 33, other_rate: string
                child 34, comments: string
                child 35, city: string
                child 36, ward: string
                child 37, block_code_and_name: string
                child 38, survey_sub_div_no: string
                child 39, old_sur_no_and_letter: string
                child 40, municipal_door_no: string
                child 41, land_type: string
                child 42, irrigation_source_and_class: string
                child 43, double_crop_composition_rate: string
                child 44, soil_class_and_sort: string
                child 45, taram: string
                child 46, holding_utilization: string
                child 47, rate_per_acre_hectare: string
                child 48, extent_town_survey: string
                child 49, assessment_municipal_govt: string
                child 50, municipal_register: string
                child 51, adangal: string
                child 52, remarks: string
                child 53, digital_signature_date: string
                child 54, designation: string
                child 55, location: string
                child 56, img: string
              parsed: bool
              renamed: bool
              error: bool
              server_error: bool
              to
              {'_id': {'$oid': Value('string')}, 'id': Value('int64'), 'name': Value('string'), 'templeID': Value('string'), 'button': Value('string'), 'type': Value('string'), 'downloaded': Value('bool'), 'queued': Value('bool'), 'file': Value('string'), 'pdfgen': Value('bool'), 'data': {'district': Value('string'), 'code': Value('string'), 'village': Value('string'), 'pul_number': Value('string'), 'sand_density_and_grain_shape': Value('string'), 'subdivision_number': Value('string'), 'sand_rate': Value('string'), 'old_subdivision_number': Value('string'), 'land_value_rupees': Value('string'), 'portion': Value('string'), 'encumbrance_hectares_acres': Value('string'), 'land_type_govt_or_private': Value('string'), 'total_value_rupees_paise': Value('string'), 'land_category': Value('string'), 'patta_number': Value('string'), 'pasan_adhaar': Value('string'), 'double_cropped': Value('string'), 'note': Value('string'), 'name': Value('string'), 'image': Value('string'), 'note_1': Value('string'), 'note_2': Value('string'), 'note_3': Value('string'), 'title': Value('string'), 'zone': Value('string'), 'plot_number': Value('string'), 'v_number': Value('string'), 'serial_number': Value('string'), 'dry_land_coverage': Value('string'), 'dry_land_rate': Value('string'), 'wet_land_coverage': Value('string'), 'wet_land_rate': Value('string'), 'other_coverage': Value('string'), 'other_rate': Value('string'), 'comments': Value('string'), 'city': Value('string'), 'ward': Value('string'), 'block_code_and_name': Value('string'), 'survey_sub_div_no': Value('string'), 'old_sur_no_and_letter': Value('string'), 'municipal_door_no': Value('string'), 'land_type': Value('string'), 'irrigation_source_and_class': Value('string'), 'double_crop_composition_rate': Value('string'), 'soil_class_and_sort': Value('string'), 'taram': Value('string'), 'holding_utilization': Value('string'), 'rate_per_acre_hectare': Value('string'), 'extent_town_survey': Value('string'), 'assessment_municipal_govt': Value('string'), 'municipal_register': Value('string'), 'adangal': Value('string'), 'remarks': Value('string'), 'digital_signature_date': Value('string'), 'designation': Value('string'), 'location': Value('string'), 'img': Value('string')}, 'parsed': Value('bool'), 'renamed': Value('bool'), 'error': Value('bool')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, 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 ({'server_error'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ArunJRK/temple/files.jsonl (at revision 23c0c185e35b87fcc3e603ef53fc9bcf33cb568b), [/tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/files.jsonl (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/files.jsonl), /tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.json (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.json), /tmp/hf-datasets-cache/medium/datasets/72266244639479-config-parquet-and-info-ArunJRK-temple-5d2cece1/hub/datasets--ArunJRK--temple/snapshots/23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.jsonl (origin=hf://datasets/ArunJRK/temple@23c0c185e35b87fcc3e603ef53fc9bcf33cb568b/temples.jsonl)]
              
              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)