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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 32 new columns ({'LOAD_DIFF', 'SUB_DIV_ID', 'CITY', 'LOAD_RISK', 'F_HU_NAME', 'YEAR', 'MONTH', 'PINCODE', 'SANC_LOAD', 'ADDRESS_LINE2', 'APPPHASE', 'VILL_CODE', 'PANCHAYAT_CODE', 'AREA_TYPE', 'STREET', 'COMP_ID', 'BUILDING', 'DIST_CODE', 'F_NAME', 'CONN_TYPE', 'REQ_NO', 'ENT_TIME', 'BLOCK_CODE', 'ADDRESS_LINE1', 'ENT_DATE', 'DIV_ID', 'CONC_LOAD', 'ACK_NO', 'DAY', 'ADDRESS_LINE3', 'APP_SOURCE', 'DAY_NAME'}) and 10 missing columns ({'total_sanctioned_load', 'max_sanctioned_load', 'DEMAND_CLUSTER', 'DEMAND_ZONE', 'commercial_ratio', 'total_applications', 'urban_ratio', 'avg_sanctioned_load', 'load_per_application', 'three_phase_ratio'}).
This happened while the csv dataset builder was generating data using
hf://datasets/varungupta0994/electricity-demand-intelligence/new_dataset_cleaned1.csv (at revision 6afee338279a45e946bf4c3cc98b1cc78ff6bfc3)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
REQ_NO: int64
DIST_CODE: int64
BLOCK_CODE: int64
PANCHAYAT_CODE: int64
VILL_CODE: int64
DIV_ID: int64
SUB_DIV_ID: int64
SECTION_ID: int64
CONN_TYPE: string
ENT_TIME: string
ENT_DATE: string
AREA_TYPE: string
COMP_ID: string
BUILDING: string
STREET: string
ADDRESS_LINE1: string
ADDRESS_LINE2: string
ADDRESS_LINE3: string
CITY: string
PINCODE: int64
APPPHASE: int64
SANC_LOAD: int64
CONC_LOAD: int64
ACK_NO: double
F_NAME: string
F_HU_NAME: string
APP_SOURCE: string
LOAD_DIFF: int64
LOAD_RISK: string
YEAR: int64
MONTH: int64
DAY: int64
DAY_NAME: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4064
to
{'SECTION_ID': Value('int64'), 'total_applications': Value('int64'), 'total_sanctioned_load': Value('int64'), 'avg_sanctioned_load': Value('float64'), 'max_sanctioned_load': Value('int64'), 'three_phase_ratio': Value('float64'), 'urban_ratio': Value('float64'), 'commercial_ratio': Value('float64'), 'load_per_application': Value('float64'), 'DEMAND_CLUSTER': Value('int64'), 'DEMAND_ZONE': 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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 32 new columns ({'LOAD_DIFF', 'SUB_DIV_ID', 'CITY', 'LOAD_RISK', 'F_HU_NAME', 'YEAR', 'MONTH', 'PINCODE', 'SANC_LOAD', 'ADDRESS_LINE2', 'APPPHASE', 'VILL_CODE', 'PANCHAYAT_CODE', 'AREA_TYPE', 'STREET', 'COMP_ID', 'BUILDING', 'DIST_CODE', 'F_NAME', 'CONN_TYPE', 'REQ_NO', 'ENT_TIME', 'BLOCK_CODE', 'ADDRESS_LINE1', 'ENT_DATE', 'DIV_ID', 'CONC_LOAD', 'ACK_NO', 'DAY', 'ADDRESS_LINE3', 'APP_SOURCE', 'DAY_NAME'}) and 10 missing columns ({'total_sanctioned_load', 'max_sanctioned_load', 'DEMAND_CLUSTER', 'DEMAND_ZONE', 'commercial_ratio', 'total_applications', 'urban_ratio', 'avg_sanctioned_load', 'load_per_application', 'three_phase_ratio'}).
This happened while the csv dataset builder was generating data using
hf://datasets/varungupta0994/electricity-demand-intelligence/new_dataset_cleaned1.csv (at revision 6afee338279a45e946bf4c3cc98b1cc78ff6bfc3)
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.
SECTION_ID
int64 | total_applications
int64 | total_sanctioned_load
int64 | avg_sanctioned_load
float64 | max_sanctioned_load
int64 | three_phase_ratio
float64 | urban_ratio
float64 | commercial_ratio
float64 | load_per_application
float64 | DEMAND_CLUSTER
int64 | DEMAND_ZONE
string |
|---|---|---|---|---|---|---|---|---|---|---|
10,221
| 3,168
| 331,711
| 104.706755
| 283,925
| 0.031881
| 0
| 0
| 104.706755
| 0
|
MEDIUM_DEMAND
|
10,222
| 2,502
| 11,384
| 4.54996
| 2,000
| 0.031974
| 0
| 0
| 4.54996
| 0
|
MEDIUM_DEMAND
|
10,223
| 1,464
| 41,651,461
| 28,450.451503
| 6,941,301
| 0.030738
| 0
| 0
| 28,450.451503
| 1
|
HIGH_DEMAND
|
10,224
| 1,333
| 5,896
| 4.423106
| 1,000
| 0.013503
| 0
| 0
| 4.423106
| 0
|
MEDIUM_DEMAND
|
10,225
| 3,588
| 1,191,432
| 332.060201
| 748,977
| 0.035674
| 0
| 0
| 332.060201
| 0
|
MEDIUM_DEMAND
|
10,226
| 1,042
| 11,944
| 11.462572
| 2,000
| 0.075816
| 0
| 0
| 11.462572
| 2
|
LOW_DEMAND
|
10,227
| 1,997
| 1,266,059
| 633.980471
| 854,113
| 0.041562
| 0
| 0
| 633.980471
| 0
|
MEDIUM_DEMAND
|
10,228
| 1,052
| 19,504
| 18.539924
| 3,000
| 0.056084
| 0
| 0
| 18.539924
| 2
|
LOW_DEMAND
|
10,226
| null | null | null | null | null | null | null | null | null | null |
10,228
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,228
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,226
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,228
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,226
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,228
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,226
| null | null | null | null | null | null | null | null | null | null |
10,226
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,228
| null | null | null | null | null | null | null | null | null | null |
10,224
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,227
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,223
| null | null | null | null | null | null | null | null | null | null |
10,225
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,221
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
10,222
| null | null | null | null | null | null | null | null | null | null |
End of preview.