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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 1 new columns ({'evaluation_prompt'}) and 3 missing columns ({'image_url', 'image_source', 'qid'}).
This happened while the csv dataset builder was generating data using
hf://datasets/linjieli222/unified-test-eval-tsv/RealUnify_GEU.tsv (at revision 6441685738461d89fd00f2a8fb9b705c7c5c0fae), ['hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/3DSRBench_MINI.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/RealUnify_GEU.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/UniG2U.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/UniMMMU_G2U.tsv']
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
index: int64
question: string
A: string
B: string
C: string
D: string
answer: string
category: string
evaluation_prompt: string
image: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1382
to
{'index': Value('int64'), 'qid': Value('string'), 'question': Value('string'), 'A': Value('string'), 'B': Value('string'), 'C': Value('string'), 'D': Value('string'), 'answer': Value('string'), 'category': Value('string'), 'image': Value('string'), 'image_source': Value('string'), 'image_url': 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 1 new columns ({'evaluation_prompt'}) and 3 missing columns ({'image_url', 'image_source', 'qid'}).
This happened while the csv dataset builder was generating data using
hf://datasets/linjieli222/unified-test-eval-tsv/RealUnify_GEU.tsv (at revision 6441685738461d89fd00f2a8fb9b705c7c5c0fae), ['hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/3DSRBench_MINI.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/RealUnify_GEU.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/UniG2U.tsv', 'hf://datasets/linjieli222/unified-test-eval-tsv@6441685738461d89fd00f2a8fb9b705c7c5c0fae/UniMMMU_G2U.tsv']
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.
index int64 | qid string | question string | A string | B string | C null | D null | answer string | category string | image string | image_source string | image_url string |
|---|---|---|---|---|---|---|---|---|---|---|---|
128 | FEHV4CFF | Consider the real-world 3D locations of the objects. Which object has a higher location? | picture on the wall | person in dark blue cloth | null | null | A | height_higher | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQgJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | MS-COCO | http://images.cocodataset.org/train2017/000000165674.jpg |
129 | FEHV4CFF-1 | Consider the real-world 3D locations of the objects. Which object has a higher location? | person in dark blue cloth | picture on the wall | null | null | B | height_higher | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQgJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAeADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | MS-COCO | http://images.cocodataset.org/train2017/000000165674.jpg |
130 | FEHV4CFF-flip | Consider the real-world 3D locations of the objects. Which object has a higher location? | picture on the wall | person in dark blue cloth | null | null | A | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000165674.jpg |
131 | FEHV4CFF-flip-1 | Consider the real-world 3D locations of the objects. Which object has a higher location? | person in dark blue cloth | picture on the wall | null | null | B | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000165674.jpg |
176 | EKRDN80M | Consider the real-world 3D locations of the objects. Which object has a higher location? | man on the skateboard | blue tent | null | null | A | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000462134.jpg |
177 | EKRDN80M-1 | Consider the real-world 3D locations of the objects. Which object has a higher location? | blue tent | man on the skateboard | null | null | B | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000462134.jpg |
178 | EKRDN80M-flip | Consider the real-world 3D locations of the objects. Which object has a higher location? | man on the skateboard | blue tent | null | null | A | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000462134.jpg |
179 | EKRDN80M-flip-1 | Consider the real-world 3D locations of the objects. Which object has a higher location? | blue tent | man on the skateboard | null | null | B | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000462134.jpg |
392 | WTC39VAA | Consider the real-world 3D locations of the objects. Which object has a lower location? | american airline plane | red and white advertisement sign | null | null | A | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000408206.jpg |
393 | WTC39VAA-1 | Consider the real-world 3D locations of the objects. Which object has a lower location? | red and white advertisement sign | american airline plane | null | null | B | height_higher | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | MS-COCO | http://images.cocodataset.org/train2017/000000408206.jpg |
End of preview.
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