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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 3 new columns ({'answer', 'split', 'category'}) and 1 missing columns ({'image_name'}).

This happened while the csv dataset builder was generating data using

hf://datasets/VLMEval/AesBench/AesBench_VAL.tsv (at revision 44030455f587cf1d1286144cef8e27c3ce347428)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              index: int64
              image: string
              question: string
              A: string
              B: string
              C: string
              D: string
              split: string
              answer: string
              category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1340
              to
              {'index': Value(dtype='int64', id=None), 'image_name': Value(dtype='string', id=None), 'image': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'A': Value(dtype='string', id=None), 'B': Value(dtype='string', id=None), 'C': Value(dtype='string', id=None), 'D': Value(dtype='string', id=None)}
              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 1577, 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 1191, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 3 new columns ({'answer', 'split', 'category'}) and 1 missing columns ({'image_name'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/VLMEval/AesBench/AesBench_VAL.tsv (at revision 44030455f587cf1d1286144cef8e27c3ce347428)
              
              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
image_name
string
image
string
question
string
A
string
B
string
C
string
D
string
974,691
43129b8b_62e5_4129_897e_2256bb12b905.jpg
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQgJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh...
What aspect of aesthetic perception is most accurately depicted in the image?
Depth of field variation
Uniform sharpness throughout the image
Vibrant and contrasting color palette
High level of brightness and luminance
654,507
43129b8b_62e5_4129_897e_2256bb12b905.jpg
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQgJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh...
How does this picture influence the viewer's aesthetic emotions?
It enhances the viewer's sense of intrigue and emotional engagement.
It has no significant effect on the viewer's aesthetic emotions.
It reduces the viewer's emotional response and interest due to its blandness.
null
573,227
43129b8b_62e5_4129_897e_2256bb12b905.jpg
/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQgJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh...
How is the aesthetic quality of this image?
High
Medium
Low
null
166,968
43255a8f_642d_4fd8_a0f3_24bb050f6857.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
What element of aesthetic perception is most significantly affected by the image?
Subject clarity
Color saturation
Perspective depth
Textural richness
889,657
43255a8f_642d_4fd8_a0f3_24bb050f6857.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
How does the image evoke aesthetic emotions in observers?
By conveying a gloomy, dilapidated, and desolate aesthetic experience.
By portraying a bright, vibrant, and energetic atmosphere.
By presenting a humorous, whimsical, and playful scene.
null
687,627
43255a8f_642d_4fd8_a0f3_24bb050f6857.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
How is the aesthetic quality of this image?
High
Medium
Low
null
348,794
43596657_2969_4551_8ff1_9100117eb8a5.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
"What aspect of the aesthetic perception is most negatively impacted by the composition and lighting(...TRUNCATED)
Visual balance and harmony
Clarity of the overall image
Brightness and color saturation
Representation of the rule of thirds
873,207
43596657_2969_4551_8ff1_9100117eb8a5.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
"How does the depiction of a Shiba Inu in an astronaut's environment primarily evoke aesthetic emoti(...TRUNCATED)
By inducing humor and whimsy through the playful juxtaposition
By creating a sense of profound realism and authenticity
By generating feelings of suspense and tension
null
826,766
43596657_2969_4551_8ff1_9100117eb8a5.png
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
How is the aesthetic quality of this image?
High
Medium
Low
null
199,529
437c47a2_8d65_4942_801c_1faa40a736bc.jpg
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
"What aspect of aesthetic perception is most notably enhanced by the central composition and the use(...TRUNCATED)
The feeling of balance and focus on the subject
The visual impact and dynamism
The sense of chaos and complexity
The perception of coolness and detachment
End of preview.