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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 18 new columns ({'context_chars', 'source_file', 'last_user_chars', 'axis_name', 'prompt_id', 'lead_score', 'last_user_keyword_hits', 'source_index', 'keyword_hits', 'system_excerpt', 'context_hash', 'repetition_rate', 'last_user_text', 'lead_hits', 'generic_continue_count', 'rank_in_axis', 'persona_hash', 'score'}) and 2 missing columns ({'count', 'reason'}).

This happened while the csv dataset builder was generating data using

hf://datasets/bingqin111/axis_prompt_pools_80/axis_prompt_pool_v1_80_review.csv (at revision 475a939f796fdb257d70444f23c34c760287cdd5), ['hf://datasets/bingqin111/axis_prompt_pools_80@475a939f796fdb257d70444f23c34c760287cdd5/axis_prompt_pool_v1_80_reject_stats.csv', 'hf://datasets/bingqin111/axis_prompt_pools_80@475a939f796fdb257d70444f23c34c760287cdd5/axis_prompt_pool_v1_80_review.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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              prompt_id: string
              axis: string
              axis_name: string
              rank_in_axis: int64
              source_index: int64
              score: double
              persona_hash: string
              context_hash: string
              keyword_hits: string
              last_user_keyword_hits: string
              generic_continue_count: int64
              lead_score: int64
              lead_hits: string
              repetition_rate: double
              context_chars: int64
              last_user_chars: int64
              system_excerpt: string
              last_user_text: string
              source_file: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2609
              to
              {'axis': Value('string'), 'reason': Value('string'), 'count': Value('int64')}
              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 1361, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 1839, 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 18 new columns ({'context_chars', 'source_file', 'last_user_chars', 'axis_name', 'prompt_id', 'lead_score', 'last_user_keyword_hits', 'source_index', 'keyword_hits', 'system_excerpt', 'context_hash', 'repetition_rate', 'last_user_text', 'lead_hits', 'generic_continue_count', 'rank_in_axis', 'persona_hash', 'score'}) and 2 missing columns ({'count', 'reason'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/bingqin111/axis_prompt_pools_80/axis_prompt_pool_v1_80_review.csv (at revision 475a939f796fdb257d70444f23c34c760287cdd5), ['hf://datasets/bingqin111/axis_prompt_pools_80@475a939f796fdb257d70444f23c34c760287cdd5/axis_prompt_pool_v1_80_reject_stats.csv', 'hf://datasets/bingqin111/axis_prompt_pools_80@475a939f796fdb257d70444f23c34c760287cdd5/axis_prompt_pool_v1_80_review.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)

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axis
string
reason
string
count
int64
A
available_total
40,416
A
scanned
3,000
A
accepted_candidates
2,105
A
last_user_too_little_language
377
A
last_user_too_leading_or_explicit
146
A
high_repetition
144
A
cannot_build_5_user_turn_window
113
A
selected
80
A
last_user_generic_continue
75
A
too_many_generic_continue_turns
35
A
weak_or_short_system
5
B
available_total
9,916
B
scanned
3,000
B
accepted_candidates
2,249
B
last_user_too_little_language
373
B
cannot_build_5_user_turn_window
180
B
high_repetition
126
B
selected
80
B
last_user_generic_continue
33
B
too_many_generic_continue_turns
24
B
last_user_too_leading_or_explicit
11
B
weak_or_short_system
2
B
unrecognized_or_empty_role
2
C
available_total
10,405
C
scanned
3,000
C
accepted_candidates
2,206
C
cannot_build_5_user_turn_window
345
C
last_user_too_little_language
273
C
high_repetition
126
C
selected
80
C
last_user_generic_continue
24
C
too_many_generic_continue_turns
18
C
weak_or_short_system
6
C
last_user_too_leading_or_explicit
2
D
available_total
11,631
D
scanned
3,000
D
accepted_candidates
1,936
D
cannot_build_5_user_turn_window
638
D
last_user_too_little_language
283
D
selected
80
D
high_repetition
76
D
last_user_generic_continue
42
D
too_many_generic_continue_turns
20
D
context_too_short
2
D
last_user_too_leading_or_explicit
2
D
weak_or_short_system
1
A
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