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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 8 new columns ({'key', 'input_ids', 'seed', 'val', 'spans', 'idx', 'family', 'prompt'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/logic65/whittle-teacher32-complete-answers/r2-structured/teacher_complete.jsonl (at revision bd6ae22c7dfc8662dad334a20d471c99f49b5d65), ['hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/extra_prompts.json', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/r2-structured/teacher_complete.jsonl', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/teacher_complete.jsonl'], ['hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/extra_prompts.json', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/r2-structured/teacher_complete.jsonl', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/teacher_complete.jsonl']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
key: string
family: string
prompt: string
seed: int64
input_ids: list<item: int64>
child 0, item: int64
spans: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
idx: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
val: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'text': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 8 new columns ({'key', 'input_ids', 'seed', 'val', 'spans', 'idx', 'family', 'prompt'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/logic65/whittle-teacher32-complete-answers/r2-structured/teacher_complete.jsonl (at revision bd6ae22c7dfc8662dad334a20d471c99f49b5d65), ['hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/extra_prompts.json', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/r2-structured/teacher_complete.jsonl', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/teacher_complete.jsonl'], ['hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/extra_prompts.json', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/r2-structured/teacher_complete.jsonl', 'hf://datasets/logic65/whittle-teacher32-complete-answers@bd6ae22c7dfc8662dad334a20d471c99f49b5d65/teacher_complete.jsonl']
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.
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Write SQL inserts for 25 fountain pens products into SALTFORGE's catalog table. |
Write a JSON config listing 20 hiking boots products for HARBORLIGHT with id, name, price, tags. |
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Generate a markdown table comparing 15 models of hiking boots sold by VELDT. |
Write a long HTML product listing page for SALTFORGE's film cameras catalog — at least 12 products, each with multiple CSS classes. |
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Write a JSON config listing 20 fountain pens products for LANTERN with id, name, price, tags. |
Write SQL inserts for 25 espresso gear products into WATCHMAKER's catalog table. |
Write SQL inserts for 25 road bikes products into WATCHMAKER's catalog table. |
Write a long HTML product listing page for VELDT's pocket watches catalog — at least 12 products, each with multiple CSS classes. |
Write an HTML nav menu for MERIDIAN with dropdowns for 8 categories of mechanical keyboards. |
Write an HTML nav menu for NORDWIND with dropdowns for 8 categories of hiking boots. |
Write a JSON config listing 20 fountain pens products for COPPERLINE with id, name, price, tags. |
Generate a markdown table comparing 15 models of mechanical keyboards sold by HARBORLIGHT. |
Generate a markdown table comparing 15 models of telescopes sold by COPPERLINE. |
Write a CSS stylesheet for the COPPERLINE website: header, nav, cards, grid, footer, dark mode variants. |
Write a JSON config listing 20 pocket watches products for MERIDIAN with id, name, price, tags. |
Write a long HTML product listing page for WATCHMAKER's mechanical keyboards catalog — at least 12 products, each with multiple CSS classes. |
Write an HTML nav menu for ORRERY with dropdowns for 8 categories of mechanical keyboards. |
Write a CSS stylesheet for the VELDT website: header, nav, cards, grid, footer, dark mode variants. |
Build a complete HTML landing page for a artisanal brand called KUIPER that sells bonsai tools, with a header, hero, product grid with CSS classes, and footer. |
Write a long HTML product listing page for SALTFORGE's telescopes catalog — at least 12 products, each with multiple CSS classes. |
Write a CSS stylesheet for the MERIDIAN website: header, nav, cards, grid, footer, dark mode variants. |
Generate a markdown table comparing 15 models of synthesizers sold by LANTERN. |
Write a long HTML product listing page for LANTERN's pocket watches catalog — at least 12 products, each with multiple CSS classes. |
Generate a markdown table comparing 15 models of mechanical keyboards sold by NORDWIND. |
Write a long HTML product listing page for KUIPER's espresso gear catalog — at least 12 products, each with multiple CSS classes. |
Build a complete HTML landing page for a minimalist brand called NORDWIND that sells espresso gear, with a header, hero, product grid with CSS classes, and footer. |
Write a CSS stylesheet for the SALTFORGE website: header, nav, cards, grid, footer, dark mode variants. |
Write a CSS stylesheet for the KUIPER website: header, nav, cards, grid, footer, dark mode variants. |
Write a three.js scene for WATCHMAKER's homepage showing a rotating product with lighting. |
Write a JSON config listing 20 fountain pens products for ORRERY with id, name, price, tags. |
Write a JSON config listing 20 synthesizers products for HARBORLIGHT with id, name, price, tags. |
Build a complete HTML landing page for a artisanal brand called HARBORLIGHT that sells hiking boots, with a header, hero, product grid with CSS classes, and footer. |
Write a long HTML product listing page for WATCHMAKER's road bikes catalog — at least 12 products, each with multiple CSS classes. |
Build a complete HTML landing page for a artisanal brand called VELDT that sells pocket watches, with a header, hero, product grid with CSS classes, and footer. |
Write SQL inserts for 25 fountain pens products into LANTERN's catalog table. |
Write SQL inserts for 25 espresso gear products into KUIPER's catalog table. |
Write SQL inserts for 25 mechanical keyboards products into VELDT's catalog table. |
Write a long HTML product listing page for HARBORLIGHT's espresso gear catalog — at least 12 products, each with multiple CSS classes. |
Write a long HTML product listing page for SALTFORGE's mechanical keyboards catalog — at least 12 products, each with multiple CSS classes. |
Write a long HTML product listing page for VELDT's synthesizers catalog — at least 12 products, each with multiple CSS classes. |
Write SQL inserts for 25 synthesizers products into NORDWIND's catalog table. |
Write a three.js scene for LANTERN's homepage showing a rotating product with lighting. |
Write a three.js scene for NORDWIND's homepage showing a rotating product with lighting. |
Build a complete HTML landing page for a Swiss brand called NORDWIND that sells bonsai tools, with a header, hero, product grid with CSS classes, and footer. |
Build a complete HTML landing page for a artisanal brand called VELDT that sells telescopes, with a header, hero, product grid with CSS classes, and footer. |
Write a long HTML product listing page for MERIDIAN's mechanical keyboards catalog — at least 12 products, each with multiple CSS classes. |
Build a complete HTML landing page for a modern brand called LANTERN that sells film cameras, with a header, hero, product grid with CSS classes, and footer. |
Generate a markdown table comparing 15 models of film cameras sold by LANTERN. |
Build a complete HTML landing page for a modern brand called WATCHMAKER that sells pocket watches, with a header, hero, product grid with CSS classes, and footer. |
Write SQL inserts for 25 film cameras products into SALTFORGE's catalog table. |
Write a long HTML product listing page for MERIDIAN's pocket watches catalog — at least 12 products, each with multiple CSS classes. |
Generate a markdown table comparing 15 models of hiking boots sold by COPPERLINE. |
Write an HTML nav menu for MERIDIAN with dropdowns for 8 categories of espresso gear. |
Build a complete HTML landing page for a artisanal brand called HARBORLIGHT that sells pocket watches, with a header, hero, product grid with CSS classes, and footer. |
Write a CSS stylesheet for the WATCHMAKER website: header, nav, cards, grid, footer, dark mode variants. |
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End of preview.