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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)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.
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 | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
A | null | null |
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