Datasets:

---

codeNJ

/

udise-datathon

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 9 new columns ({'ict_index', 'teacher_capacity_index', 'pseudocode', 'governance_index', 'lab_index', 'state', 'infrastructure_index', 'academic_year', 'district'}) and 61 missing columns ({'same_sch_g', 'c4_b', 'same_sch_b', 'total_boys_func_toilet', 'c6_b', 'geo_lab_cond', 'printer', 'c2_b', 'total_enrollment', 'home_sc_lab_cond', 'obc_tch', 'psycho_lab_cond', 'c8_g', 'other', 'free_text_books_pr', 'class_taught_upr_sec', 'c9_g', 'c5_b', 'c10_g', 'bed_equivalent', 'class_taught_pr', 'cpp_b', 'c6_g', 'total_girls_toilet', 'total_tch', 'class_taught_hsec_only', 'total_boys_toilet', 'gen_tch', 'female', 'projector', 'class_taught_upr', 'c7_b', 'highclass', 'c7_g', 'aff_board_hsec', 'smc_exists', 'trained_comp', 'smart_class_tv_tot', 'cpp_g', 'c9_b', 'desktop', 'urinal_boys', 'c10_b', 'graduate', 'c3_b', 'Unnamed: 0', 'aff_board_sec', 'classrooms_in_good_condition', 'school_category', 'other_rooms', 'post_graduate_and_above', 'c8_b', 'regular', 'urinal_girls', 'male', 'c1_b', 'class_taught_sec_only', 'total_girls_func_toilet', 'lang_lab_cond', 'c1_g', 'total_class_rooms'}).

This happened while the csv dataset builder was generating data using

hf://datasets/codeNJ/udise-datathon/indices_overview.csv (at revision 9c62a9b2ddcea8d565e52ed6dbb3908f1e7adcb7)

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
              pseudocode: int64
              state: string
              district: string
              academic_year: string
              infrastructure_index: double
              ict_index: double
              teacher_capacity_index: double
              lab_index: double
              governance_index: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1389
              to
              {'Unnamed: 0': Value('string'), 'total_tch': Value('float64'), 'classrooms_in_good_condition': Value('float64'), 'bed_equivalent': Value('float64'), 'regular': Value('float64'), 'post_graduate_and_above': Value('float64'), 'total_enrollment': Value('float64'), 'female': Value('float64'), 'trained_comp': Value('float64'), 'graduate': Value('float64'), 'gen_tch': Value('float64'), 'highclass': Value('float64'), 'printer': Value('float64'), 'desktop': Value('float64'), 'total_girls_func_toilet': Value('float64'), 'male': Value('float64'), 'total_girls_toilet': Value('float64'), 'total_boys_func_toilet': Value('float64'), 'total_boys_toilet': Value('float64'), 'obc_tch': Value('float64'), 'c6_b': Value('float64'), 'class_taught_sec_only': Value('float64'), 'c7_b': Value('float64'), 'urinal_boys': Value('float64'), 'total_class_rooms': Value('float64'), 'c8_b': Value('float64'), 'urinal_girls': Value('float64'), 'c9_b': Value('float64'), 'c6_g': Value('float64'), 'psycho_lab_cond': Value('float64'), 'same_sch_b': Value('float64'), 'c7_g': Value('float64'), 'home_sc_lab_cond': Value('float64'), 'same_sch_g': Value('float64'), 'c8_g': Value('float64'), 'other': Value('float64'), 'c10_b': Value('float64'), 'projector': Value('float64'), 'c9_g': Value('float64'), 'aff_board_sec': Value('float64'), 'school_category': Value('float64'), 'free_text_books_pr': Value('float64'), 'c5_b': Value('float64'), 'geo_lab_cond': Value('float64'), 'c1_b': Value('float64'), 'class_taught_hsec_only': Value('float64'), 'smart_class_tv_tot': Value('float64'), 'aff_board_hsec': Value('float64'), 'other_rooms': Value('float64'), 'smc_exists': Value('float64'), 'class_taught_pr': Value('float64'), 'lang_lab_cond': Value('float64'), 'c2_b': Value('float64'), 'c3_b': Value('float64'), 'c4_b': Value('float64'), 'cpp_b': Value('float64'), 'c10_g': Value('float64'), 'c1_g': Value('float64'), 'class_taught_upr': Value('float64'), 'cpp_g': Value('float64'), 'class_taught_upr_sec': Value('float64')}
              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 1455, 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 1054, 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 9 new columns ({'ict_index', 'teacher_capacity_index', 'pseudocode', 'governance_index', 'lab_index', 'state', 'infrastructure_index', 'academic_year', 'district'}) and 61 missing columns ({'same_sch_g', 'c4_b', 'same_sch_b', 'total_boys_func_toilet', 'c6_b', 'geo_lab_cond', 'printer', 'c2_b', 'total_enrollment', 'home_sc_lab_cond', 'obc_tch', 'psycho_lab_cond', 'c8_g', 'other', 'free_text_books_pr', 'class_taught_upr_sec', 'c9_g', 'c5_b', 'c10_g', 'bed_equivalent', 'class_taught_pr', 'cpp_b', 'c6_g', 'total_girls_toilet', 'total_tch', 'class_taught_hsec_only', 'total_boys_toilet', 'gen_tch', 'female', 'projector', 'class_taught_upr', 'c7_b', 'highclass', 'c7_g', 'aff_board_hsec', 'smc_exists', 'trained_comp', 'smart_class_tv_tot', 'cpp_g', 'c9_b', 'desktop', 'urinal_boys', 'c10_b', 'graduate', 'c3_b', 'Unnamed: 0', 'aff_board_sec', 'classrooms_in_good_condition', 'school_category', 'other_rooms', 'post_graduate_and_above', 'c8_b', 'regular', 'urinal_girls', 'male', 'c1_b', 'class_taught_sec_only', 'total_girls_func_toilet', 'lang_lab_cond', 'c1_g', 'total_class_rooms'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/codeNJ/udise-datathon/indices_overview.csv (at revision 9c62a9b2ddcea8d565e52ed6dbb3908f1e7adcb7)
              
              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)