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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 4 new columns ({'docId', 'ucsf_document_id', 'ucsf_document_page_no', 'question_types'})

This happened while the csv dataset builder was generating data using

hf://datasets/ahmed-masry/data-vis-course-project/DocVQA_VAL_shuffled.tsv (at revision 1a14b0eee686772bdf7e47b410a22080841c1482)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              question: string
              question_types: string
              image: string
              docId: int64
              ucsf_document_id: string
              ucsf_document_page_no: int64
              answer: string
              split: string
              index: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1323
              to
              {'index': Value(dtype='int64', id=None), 'image': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'split': 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 4 new columns ({'docId', 'ucsf_document_id', 'ucsf_document_page_no', 'question_types'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ahmed-masry/data-vis-course-project/DocVQA_VAL_shuffled.tsv (at revision 1a14b0eee686772bdf7e47b410a22080841c1482)
              
              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)

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index
int64
image
string
question
string
answer
string
split
string
1
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How many food item is shown in the bar graph?
14
test_human
2
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CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z
What is the difference in value between Lamb and Corn?
0.57
test_human
3
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How many bars are shown in the chart?
3
test_human
4
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
Is the sum value of Madagascar more then Fiji?
No
test_human
5
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
What's the value of the lowest bar?
23
test_human
6
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
What is the difference between the highest and the lowest green bar??
6
test_human
7
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
What percent who think of President Donald Trump as Dangerous?
62
test_human
8
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
"Is the sum of the percents of Charismatic and Well-qualified to be president more than A strong lea(...TRUNCATED)
Yes
test_human
9
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
What was the 4th most popular emotion?
Inspired
test_human
10
"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED)
How many more people felt inspired frequently than depressed frequently?
0.03
test_human
End of preview.

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