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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 2 new columns ({'num_attempts', 'avg_accuracy'}) and 5 missing columns ({'correct', 'question_id', 'user_answer', 'part', 'correct_answer'}).
This happened while the csv dataset builder was generating data using
zip://processed/ednet_macro_stats.csv::/tmp/hf-datasets-cache/medium/datasets/74377571844466-config-parquet-and-info-FuRobl-TestReading-7ec454aa/hub/datasets--FuRobl--TestReading/snapshots/b356bb5d45f51598422fb479ad31a09658a2c63b/processed-20251128T081551Z-1-001.zip
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
macro_skill: string
avg_accuracy: double
num_attempts: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 627
to
{'question_id': Value('string'), 'user_answer': Value('string'), 'part': Value('int64'), 'correct_answer': Value('string'), 'correct': Value('int64'), 'macro_skill': 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 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 2 new columns ({'num_attempts', 'avg_accuracy'}) and 5 missing columns ({'correct', 'question_id', 'user_answer', 'part', 'correct_answer'}).
This happened while the csv dataset builder was generating data using
zip://processed/ednet_macro_stats.csv::/tmp/hf-datasets-cache/medium/datasets/74377571844466-config-parquet-and-info-FuRobl-TestReading-7ec454aa/hub/datasets--FuRobl--TestReading/snapshots/b356bb5d45f51598422fb479ad31a09658a2c63b/processed-20251128T081551Z-1-001.zip
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.
question_id string | user_answer string | part int64 | correct_answer string | correct int64 | macro_skill string |
|---|---|---|---|---|---|
q8098 | b | 1 | b | 1 | Listening |
q5078 | a | 5 | b | 0 | Reading |
q5235 | b | 5 | a | 0 | Reading |
q3914 | a | 5 | a | 1 | Reading |
q6045 | c | 5 | d | 0 | Reading |
q6351 | c | 5 | c | 1 | Reading |
q4533 | c | 5 | c | 1 | Reading |
q6056 | c | 5 | b | 0 | Reading |
q5384 | b | 5 | b | 1 | Reading |
q4181 | b | 5 | b | 1 | Reading |
q4291 | b | 5 | a | 0 | Reading |
q4530 | b | 5 | d | 0 | Reading |
q4489 | c | 5 | b | 0 | Reading |
q6537 | d | 5 | d | 1 | Reading |
q9812 | b | 5 | b | 1 | Reading |
q3957 | b | 5 | c | 0 | Reading |
q4683 | c | 5 | c | 1 | Reading |
q6491 | a | 5 | c | 0 | Reading |
q9737 | a | 5 | b | 0 | Reading |
q5295 | c | 5 | c | 1 | Reading |
q4161 | a | 5 | a | 1 | Reading |
q4564 | c | 5 | a | 0 | Reading |
q8990 | b | 5 | b | 1 | Reading |
q5704 | c | 5 | b | 0 | Reading |
q6390 | b | 5 | b | 1 | Reading |
q6413 | c | 5 | c | 1 | Reading |
q9800 | a | 5 | a | 1 | Reading |
q5765 | a | 5 | a | 1 | Reading |
q4084 | a | 5 | b | 0 | Reading |
q4539 | a | 5 | a | 1 | Reading |
q8198 | a | 5 | c | 0 | Reading |
q973 | b | 2 | b | 1 | Listening |
q406 | a | 2 | a | 1 | Listening |
q666 | a | 2 | a | 1 | Listening |
q11263 | b | 2 | b | 1 | Listening |
q1394 | a | 2 | a | 1 | Listening |
q1297 | b | 2 | b | 1 | Listening |
q1240 | a | 2 | b | 0 | Listening |
q11259 | b | 2 | b | 1 | Listening |
q740 | c | 2 | b | 0 | Listening |
q285 | b | 2 | a | 0 | Listening |
q1240 | b | 2 | b | 1 | Listening |
q1101 | b | 2 | b | 1 | Listening |
q11262 | a | 2 | a | 1 | Listening |
q764 | c | 2 | b | 0 | Listening |
q825 | c | 2 | b | 0 | Listening |
q887 | c | 2 | c | 1 | Listening |
q11261 | b | 2 | b | 1 | Listening |
q749 | b | 2 | a | 0 | Listening |
q1261 | c | 2 | b | 0 | Listening |
q285 | a | 2 | a | 1 | Listening |
q1261 | b | 2 | b | 1 | Listening |
q968 | a | 2 | a | 1 | Listening |
q11249 | b | 2 | b | 1 | Listening |
q4906 | a | 5 | c | 0 | Reading |
q6225 | d | 5 | c | 0 | Reading |
q4162 | d | 5 | d | 1 | Reading |
q10130 | a | 5 | a | 1 | Reading |
q3870 | a | 5 | a | 1 | Reading |
q5758 | a | 5 | b | 0 | Reading |
q6074 | a | 5 | a | 1 | Reading |
q9146 | b | 5 | a | 0 | Reading |
q4468 | c | 5 | c | 1 | Reading |
q4510 | a | 5 | a | 1 | Reading |
q4488 | a | 5 | a | 1 | Reading |
q10263 | c | 5 | c | 1 | Reading |
q6252 | a | 5 | c | 0 | Reading |
q5646 | c | 5 | c | 1 | Reading |
q6029 | b | 5 | c | 0 | Reading |
q8196 | a | 5 | a | 1 | Reading |
q6752 | b | 5 | b | 1 | Reading |
q4476 | c | 5 | c | 1 | Reading |
q3798 | b | 5 | d | 0 | Reading |
q9537 | b | 5 | b | 1 | Reading |
q447 | a | 2 | a | 1 | Listening |
q1146 | b | 2 | c | 0 | Listening |
q397 | b | 2 | b | 1 | Listening |
q295 | c | 2 | c | 1 | Listening |
q952 | a | 2 | b | 0 | Listening |
q1250 | a | 2 | b | 0 | Listening |
q1011 | b | 2 | a | 0 | Listening |
q241 | c | 2 | b | 0 | Listening |
q956 | a | 2 | a | 1 | Listening |
q833 | c | 2 | c | 1 | Listening |
q4473 | b | 5 | a | 0 | Reading |
q8653 | c | 5 | b | 0 | Reading |
q3774 | d | 5 | a | 0 | Reading |
q9368 | a | 5 | a | 1 | Reading |
q4062 | b | 5 | c | 0 | Reading |
q5049 | a | 5 | a | 1 | Reading |
q9638 | b | 5 | b | 1 | Reading |
q10261 | b | 5 | b | 1 | Reading |
q4275 | d | 5 | b | 0 | Reading |
q6733 | d | 5 | d | 1 | Reading |
q835 | b | 2 | c | 0 | Listening |
q774 | a | 2 | a | 1 | Listening |
q291 | a | 2 | a | 1 | Listening |
q280 | a | 2 | b | 0 | Listening |
q949 | a | 2 | a | 1 | Listening |
q1069 | b | 2 | b | 1 | Listening |
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