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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 ({'img_path'}) and 2 missing columns ({'segmentation_path', 'CT_path'}).
This happened while the json dataset builder was generating data using
hf://datasets/withtst/MetaStructAtlas/qa_pairs_cn/type_1b.json (at revision 3ec59dc0e9840f26d34bb4404810f66a8e0eab0d), ['hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_3.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_3.json'], ['hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_3.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_3.json']
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 1837, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
q_id: string
q_type: string
content: string
options: struct<A: string, B: string>
child 0, A: string
child 1, B: string
answer: string
img_path: string
entity: string
to
{'q_id': Value('string'), 'q_type': Value('string'), 'content': Value('string'), 'options': {'A': Value('string'), 'B': Value('string'), 'C': Value('string'), 'D': Value('string')}, 'answer': Value('string'), 'CT_path': Value('string'), 'segmentation_path': Value('string'), 'entity': 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 1683, 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 1839, 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 ({'img_path'}) and 2 missing columns ({'segmentation_path', 'CT_path'}).
This happened while the json dataset builder was generating data using
hf://datasets/withtst/MetaStructAtlas/qa_pairs_cn/type_1b.json (at revision 3ec59dc0e9840f26d34bb4404810f66a8e0eab0d), ['hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_3.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_3.json'], ['hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_cn/type_3.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_1b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2a_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2b_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_2c_mask_free.json', 'hf://datasets/withtst/MetaStructAtlas@3ec59dc0e9840f26d34bb4404810f66a8e0eab0d/qa_pairs_en/type_3.json']
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.
q_id string | q_type string | content string | options dict | answer string | CT_path string | segmentation_path string | entity string |
|---|---|---|---|---|---|---|---|
000000 | 1a | 基于CT影像和掩膜，请选择掩膜处对应的器官。 | {
"A": "气管",
"B": "左肺上叶",
"C": "右肺下叶",
"D": "左肺下叶"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/lung_upper_lobe_left.nii.gz | lung_upper_lobe_left |
000001 | 1a | 根据CT图像，掩膜标识了哪个器官？请选择。 | {
"A": "气管",
"B": "左肺下叶",
"C": "右肺下叶",
"D": "左肺上叶"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/lung_lower_lobe_left.nii.gz | lung_lower_lobe_left |
000002 | 1a | 根据CT影像及掩膜，请识别掩膜部位的器官。 | {
"A": "右肺上叶",
"B": "右肺下叶",
"C": "左肺下叶",
"D": "气管"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/lung_lower_lobe_right.nii.gz | lung_lower_lobe_right |
000003 | 1a | 在提供的CT影像资料中，请问掩膜位置的器官是以下哪一个？ | {
"A": "右肺中叶",
"B": "左肺下叶",
"C": "右肺下叶",
"D": "气管"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/lung_middle_lobe_right.nii.gz | lung_middle_lobe_right |
000004 | 1a | 根据CT图像及掩膜信息，请指出掩膜位置的器官名称。 | {
"A": "右肺中叶",
"B": "左肺下叶",
"C": "右肺上叶",
"D": "气管"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/lung_upper_lobe_right.nii.gz | lung_upper_lobe_right |
000005 | 1a | 给定CT影像和掩膜，掩膜区域对应哪个器官？请选择。 | {
"A": "左肺上叶",
"B": "气管",
"C": "右肺下叶",
"D": "左肺下叶"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/trachea.nii.gz | trachea |
000006 | 1a | 观察CT图像及掩膜，请确定掩膜所标器官的名称。 | {
"A": "主动脉",
"B": "门静脉",
"C": "肺动脉",
"D": "右心室"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/aorta.nii.gz | aorta |
000007 | 1a | 给定CT图像和掩膜，请问掩膜处的器官是什么？请选择正确答案。 | {
"A": "左心房",
"B": "左侧髂动脉",
"C": "右侧髂静脉",
"D": "主动脉"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/heart_atrium_left.nii.gz | heart_atrium_left |
000008 | 1a | 分析给定CT和掩膜，请问掩膜位置的器官是下列选项中的哪一个？ | {
"A": "右心室",
"B": "左侧髂动脉",
"C": "右心房",
"D": "左侧髂静脉"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/heart_atrium_right.nii.gz | heart_atrium_right |
000009 | 1a | 给定CT图像和掩膜，请问掩膜所指示的器官是哪个？ | {
"A": "心肌",
"B": "右心室",
"C": "右侧髂动脉",
"D": "主动脉"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/heart_myocardium.nii.gz | heart_myocardium |
000010 | 1a | 在CT扫描中，掩膜指示了哪个器官？请从以下选项中选择。 | {
"A": "左心室",
"B": "左侧髂动脉",
"C": "左侧髂静脉",
"D": "肺动脉"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/heart_ventricle_left.nii.gz | heart_ventricle_left |
000011 | 1a | 分析给定CT和掩膜，请问掩膜位置的器官是下列选项中的哪一个？ | {
"A": "下腔静脉",
"B": "右侧髂动脉",
"C": "右心室",
"D": "肺动脉"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/heart_ventricle_right.nii.gz | heart_ventricle_right |
000012 | 1a | 根据CT图像，掩膜标识了哪个器官？请选择。 | {
"A": "门静脉",
"B": "肺动脉",
"C": "心肌",
"D": "左侧髂动脉"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliac_artery_left.nii.gz | iliac_artery_left |
000013 | 1a | 观察给定CT图像和掩膜，请指出掩膜位置的器官。 | {
"A": "右心房",
"B": "左侧髂静脉",
"C": "右侧髂动脉",
"D": "心肌"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliac_artery_right.nii.gz | iliac_artery_right |
000014 | 1a | 在提供的CT影像中，掩膜覆盖的区域代表哪个器官？请从以下选项中选择。 | {
"A": "右心室",
"B": "左侧髂静脉",
"C": "肺动脉",
"D": "右侧髂动脉"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliac_vena_left.nii.gz | iliac_vena_left |
000015 | 1a | 在医学图像中，掩膜覆盖的解剖结构是哪个器官？请选择。 | {
"A": "左心房",
"B": "右侧髂静脉",
"C": "左侧髂静脉",
"D": "门静脉"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliac_vena_right.nii.gz | iliac_vena_right |
000016 | 1a | 基于CT扫描，掩膜区域代表什么器官？请选择。 | {
"A": "下腔静脉",
"B": "右心房",
"C": "肺动脉",
"D": "右侧髂静脉"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/inferior_vena_cava.nii.gz | inferior_vena_cava |
000017 | 1a | 观察CT图像及其掩膜，判断掩膜所标识的器官是下列哪一个？ | {
"A": "门静脉",
"B": "肺动脉",
"C": "左心室",
"D": "右侧髂静脉"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/portal_vein_and_splenic_vein.nii.gz | portal_vein_and_splenic_vein |
000018 | 1a | 给定CT扫描图像和掩膜，请问掩膜覆盖的器官是以下哪一项？ | {
"A": "右心室",
"B": "右心房",
"C": "左心房",
"D": "肺动脉"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/pulmonary_artery.nii.gz | pulmonary_artery |
000019 | 1a | 根据CT影像及掩膜，请识别掩膜部位的器官。 | {
"A": "脑",
"B": "胰腺",
"C": "左肾上腺",
"D": "脾"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/adrenal_gland_left.nii.gz | adrenal_gland_left |
000020 | 1a | 根据CT影像及掩膜，请识别掩膜部位的器官。 | {
"A": "左肾",
"B": "脑",
"C": "右肾上腺",
"D": "右肾"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/adrenal_gland_right.nii.gz | adrenal_gland_right |
000021 | 1a | 在CT图像上，掩膜标记了哪个器官？请从选项中选择。 | {
"A": "右肾上腺",
"B": "脾",
"C": "脑",
"D": "肝"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/liver.nii.gz | liver |
000022 | 1a | 给定CT扫描图像和掩膜，请问掩膜覆盖的器官是以下哪一项？ | {
"A": "胰腺",
"B": "肝",
"C": "脑",
"D": "脾"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/spleen.nii.gz | spleen |
000023 | 1a | 基于提供的CT图像及掩膜，请问掩膜处的器官是哪一个？ | {
"A": "右肾",
"B": "胰腺",
"C": "脑",
"D": "左肾上腺"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/pancreas.nii.gz | pancreas |
000024 | 1a | 观察CT图像及掩膜，请确定掩膜所标器官的名称。 | {
"A": "左肾",
"B": "右肾",
"C": "胰腺",
"D": "脑"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/kidney_left.nii.gz | kidney_left |
000025 | 1a | 根据CT图像分析，掩膜区域对应哪个解剖结构？请选择器官名称。 | {
"A": "胰腺",
"B": "右肾",
"C": "脑",
"D": "右肾上腺"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/kidney_right.nii.gz | kidney_right |
000026 | 1a | 根据提供的CT图像及掩膜，请问掩膜处的器官名称是什么？ | {
"A": "胰腺",
"B": "脑",
"C": "右肾上腺",
"D": "右肾"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/brain.nii.gz | brain |
000027 | 1a | 给定CT影像数据，请判断掩膜所代表的器官。 | {
"A": "胃",
"B": "胆囊",
"C": "结肠",
"D": "小肠"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/colon.nii.gz | colon |
000028 | 1a | 基于CT扫描和掩膜，请识别掩膜位置的解剖结构名称。 | {
"A": "结肠",
"B": "膀胱",
"C": "十二指肠",
"D": "小肠"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/duodenum.nii.gz | duodenum |
000029 | 1a | 在CT图像上，掩膜标记了哪个器官？请从选项中选择。 | {
"A": "胃",
"B": "胆囊",
"C": "膀胱",
"D": "食管"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/esophagus.nii.gz | esophagus |
000030 | 1a | 根据CT图像及掩膜显示，请选择掩膜部位的器官名称。 | {
"A": "食管",
"B": "膀胱",
"C": "结肠",
"D": "胆囊"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gallbladder.nii.gz | gallbladder |
000031 | 1a | 根据CT图像及掩膜显示，请选择掩膜部位的器官名称。 | {
"A": "小肠",
"B": "食管",
"C": "胆囊",
"D": "十二指肠"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/small_bowel.nii.gz | small_bowel |
000032 | 1a | 在CT影像中，掩膜标记了哪个器官？请从选项中选择正确答案。 | {
"A": "食管",
"B": "胃",
"C": "十二指肠",
"D": "膀胱"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/stomach.nii.gz | stomach |
000033 | 1a | 根据给定CT图像及掩膜，请问掩膜位置的器官是以下选项中的哪一个？ | {
"A": "结肠",
"B": "十二指肠",
"C": "小肠",
"D": "膀胱"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/urinary_bladder.nii.gz | urinary_bladder |
000034 | 1a | 根据CT图像及掩膜显示，请选择掩膜部位的器官名称。 | {
"A": "右侧臀小肌",
"B": "左侧脊柱深层固有肌",
"C": "左侧髂腰肌",
"D": "左侧臀大肌"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/autochthon_left.nii.gz | autochthon_left |
000035 | 1a | 观察CT图像及掩膜，请确定掩膜所标器官的名称。 | {
"A": "右侧臀小肌",
"B": "右侧臀大肌",
"C": "右侧髂腰肌",
"D": "右侧脊柱深层固有肌"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/autochthon_right.nii.gz | autochthon_right |
000036 | 1a | 基于提供的CT图像及掩膜，请问掩膜处的器官是哪一个？ | {
"A": "左侧臀大肌",
"B": "右侧髂腰肌",
"C": "左侧脊柱深层固有肌",
"D": "右侧臀中肌"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_maximus_left.nii.gz | gluteus_maximus_left |
000037 | 1a | 在CT图像上，掩膜标记了哪个器官？请从选项中选择。 | {
"A": "左侧髂腰肌",
"B": "右侧臀中肌",
"C": "左侧臀中肌",
"D": "右侧臀大肌"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_maximus_right.nii.gz | gluteus_maximus_right |
000038 | 1a | 在提供的CT影像资料中，请问掩膜位置的器官是以下哪一个？ | {
"A": "左侧脊柱深层固有肌",
"B": "右侧脊柱深层固有肌",
"C": "左侧臀大肌",
"D": "左侧臀中肌"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_medius_left.nii.gz | gluteus_medius_left |
000039 | 1a | 给定CT扫描和掩膜，请判断掩膜区域的器官归属。 | {
"A": "右侧臀大肌",
"B": "右侧髂腰肌",
"C": "右侧臀中肌",
"D": "左侧臀中肌"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_medius_right.nii.gz | gluteus_medius_right |
000040 | 1a | 在医学图像中，掩膜覆盖的解剖结构是哪个器官？请选择。 | {
"A": "左侧臀中肌",
"B": "左侧臀小肌",
"C": "右侧臀中肌",
"D": "右侧脊柱深层固有肌"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_minimus_left.nii.gz | gluteus_minimus_left |
000041 | 1a | 分析CT图像和掩膜，确定掩膜所指的器官是什么。 | {
"A": "右侧臀小肌",
"B": "右侧脊柱深层固有肌",
"C": "左侧臀中肌",
"D": "左侧脊柱深层固有肌"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/gluteus_minimus_right.nii.gz | gluteus_minimus_right |
000042 | 1a | 基于CT影像数据，掩膜标识了哪个器官？请选择正确选项。 | {
"A": "右侧臀中肌",
"B": "左侧臀小肌",
"C": "左侧脊柱深层固有肌",
"D": "左侧髂腰肌"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliopsoas_left.nii.gz | iliopsoas_left |
000043 | 1a | 在CT图像中，掩膜覆盖的部位是哪个器官？请从以下选项中选择。 | {
"A": "左侧臀大肌",
"B": "右侧髂腰肌",
"C": "右侧臀小肌",
"D": "右侧臀中肌"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/iliopsoas_right.nii.gz | iliopsoas_right |
000044 | 1a | 基于提供的CT图像及掩膜，请问掩膜处的器官是哪一个？ | {
"A": "胸椎T3",
"B": "颈椎C7",
"C": "颈椎C1",
"D": "骶骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C1.nii.gz | vertebrae_C1 |
000045 | 1a | 在CT扫描中，掩膜指示了哪个器官？请从以下选项中选择。 | {
"A": "胸椎T3",
"B": "胸椎T11",
"C": "腰椎L2",
"D": "颈椎C2"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C2.nii.gz | vertebrae_C2 |
000046 | 1a | 基于提供的CT影像和掩膜，请回答掩膜位置的器官是以下哪个？ | {
"A": "腰椎L3",
"B": "颈椎C1",
"C": "颈椎C3",
"D": "胸椎T8"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C3.nii.gz | vertebrae_C3 |
000047 | 1a | 在提供的CT影像中，掩膜覆盖的区域代表哪个器官？请从以下选项中选择。 | {
"A": "腰椎L4",
"B": "腰椎L2",
"C": "颈椎C6",
"D": "颈椎C4"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C4.nii.gz | vertebrae_C4 |
000048 | 1a | 在CT扫描中，掩膜指示了哪个器官？请从以下选项中选择。 | {
"A": "颈椎C3",
"B": "胸椎T2",
"C": "颈椎C7",
"D": "颈椎C5"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C5.nii.gz | vertebrae_C5 |
000049 | 1a | 分析CT图像和掩膜，确定掩膜所指的器官是什么。 | {
"A": "胸椎T7",
"B": "胸椎T6",
"C": "颈椎C6",
"D": "腰椎L4"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C6.nii.gz | vertebrae_C6 |
000050 | 1a | 在CT影像中，给定掩膜区域，请问该区域对应哪个器官？请从四个选项中选择。 | {
"A": "胸椎T5",
"B": "胸椎T3",
"C": "腰椎L2",
"D": "颈椎C7"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_C7.nii.gz | vertebrae_C7 |
000051 | 1a | 给定CT图像和掩膜，请问掩膜所指示的器官是哪个？ | {
"A": "胸椎T11",
"B": "胸椎T1",
"C": "颈椎C3",
"D": "胸椎T7"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T1.nii.gz | vertebrae_T1 |
000052 | 1a | 根据CT影像资料及掩膜，请判断掩膜区域的器官归属。 | {
"A": "腰椎L3",
"B": "胸椎T2",
"C": "胸椎T9",
"D": "胸椎T4"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T2.nii.gz | vertebrae_T2 |
000053 | 1a | 在医学图像中，掩膜覆盖的解剖结构是哪个器官？请选择。 | {
"A": "颈椎C7",
"B": "胸椎T3",
"C": "颈椎C1",
"D": "胸椎T9"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T3.nii.gz | vertebrae_T3 |
000054 | 1a | 分析提供的CT和掩膜，请问掩膜位置的器官是什么？ | {
"A": "颈椎C3",
"B": "胸椎T4",
"C": "胸椎T1",
"D": "胸椎T9"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T4.nii.gz | vertebrae_T4 |
000055 | 1a | 观察CT扫描图像和掩膜，请问掩膜所标出的器官是什么？ | {
"A": "腰椎L4",
"B": "胸椎T4",
"C": "颈椎C7",
"D": "胸椎T5"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T5.nii.gz | vertebrae_T5 |
000056 | 1a | 在CT图像中，掩膜覆盖的部位是哪个器官？请从以下选项中选择。 | {
"A": "颈椎C3",
"B": "腰椎L3",
"C": "胸椎T6",
"D": "胸椎T11"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T6.nii.gz | vertebrae_T6 |
000057 | 1a | 在CT影像中，掩膜标记了哪个器官？请从选项中选择正确答案。 | {
"A": "胸椎T7",
"B": "胸椎T2",
"C": "胸椎T11",
"D": "胸椎T12"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T7.nii.gz | vertebrae_T7 |
000058 | 1a | 给定CT扫描图像和掩膜，请问掩膜覆盖的器官是以下哪一项？ | {
"A": "胸椎T7",
"B": "胸椎T8",
"C": "颈椎C2",
"D": "颈椎C7"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T8.nii.gz | vertebrae_T8 |
000059 | 1a | 给定CT扫描和掩膜，请判断掩膜区域的器官归属。 | {
"A": "胸椎T4",
"B": "胸椎T9",
"C": "胸椎T3",
"D": "颈椎C4"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T9.nii.gz | vertebrae_T9 |
000060 | 1a | 分析CT图像及掩膜，请问掩膜位置的器官是哪一个？ | {
"A": "胸椎T10",
"B": "腰椎L2",
"C": "胸椎T7",
"D": "颈椎C4"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T10.nii.gz | vertebrae_T10 |
000061 | 1a | 在CT影像中，掩膜标记了哪个器官？请从选项中选择正确答案。 | {
"A": "胸椎T6",
"B": "胸椎T12",
"C": "颈椎C3",
"D": "胸椎T11"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T11.nii.gz | vertebrae_T11 |
000062 | 1a | 基于CT影像资料，请判断掩膜标识的解剖结构是以下哪个器官？ | {
"A": "胸椎T8",
"B": "胸椎T10",
"C": "胸椎T7",
"D": "胸椎T12"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_T12.nii.gz | vertebrae_T12 |
000063 | 1a | 在提供的CT影像资料中，请问掩膜位置的器官是以下哪一个？ | {
"A": "胸椎T9",
"B": "腰椎L1",
"C": "胸椎T4",
"D": "腰椎L5"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_L1.nii.gz | vertebrae_L1 |
000064 | 1a | 给定CT影像和掩膜，请选择掩膜区域对应的器官名称。 | {
"A": "腰椎L2",
"B": "胸椎T10",
"C": "腰椎L3",
"D": "颈椎C7"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_L2.nii.gz | vertebrae_L2 |
000065 | 1a | 根据CT影像和掩膜，请问掩膜处的器官是以下哪个选项？ | {
"A": "腰椎L3",
"B": "颈椎C7",
"C": "腰椎L2",
"D": "胸椎T5"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_L3.nii.gz | vertebrae_L3 |
000066 | 1a | 在CT影像中，给定掩膜区域，请问该区域对应哪个器官？请从四个选项中选择。 | {
"A": "胸椎T2",
"B": "胸椎T5",
"C": "颈椎C6",
"D": "腰椎L4"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_L4.nii.gz | vertebrae_L4 |
000067 | 1a | 在CT影像中，掩膜标记了哪个器官？请从选项中选择正确答案。 | {
"A": "颈椎C3",
"B": "胸椎T6",
"C": "颈椎C2",
"D": "腰椎L5"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/vertebrae_L5.nii.gz | vertebrae_L5 |
000068 | 1a | 基于提供的CT图像及掩膜，请问掩膜处的器官是哪一个？ | {
"A": "颈椎C7",
"B": "骶骨",
"C": "颈椎C2",
"D": "颈椎C5"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/sacrum.nii.gz | sacrum |
000069 | 1a | 分析给定CT和掩膜，请问掩膜位置的器官是下列选项中的哪一个？ | {
"A": "左侧第7肋骨",
"B": "左侧第2肋骨",
"C": "左侧第1肋骨",
"D": "左侧第12肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_1.nii.gz | rib_left_1 |
000070 | 1a | 根据CT影像和掩膜，请问掩膜处的器官是以下哪个选项？ | {
"A": "左侧第7肋骨",
"B": "左侧第3肋骨",
"C": "左侧第2肋骨",
"D": "左侧第11肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_2.nii.gz | rib_left_2 |
000071 | 1a | 根据CT图像及掩膜信息，请指出掩膜位置的器官名称。 | {
"A": "左侧第2肋骨",
"B": "左侧第10肋骨",
"C": "左侧第3肋骨",
"D": "左侧第1肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_3.nii.gz | rib_left_3 |
000072 | 1a | 根据CT图像，掩膜标识了哪个器官？请选择。 | {
"A": "左侧第6肋骨",
"B": "左侧第5肋骨",
"C": "左侧第1肋骨",
"D": "左侧第4肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_4.nii.gz | rib_left_4 |
000073 | 1a | 观察给定CT影像和掩膜，请问掩膜对应的器官是以下哪一个？ | {
"A": "左侧第3肋骨",
"B": "左侧第5肋骨",
"C": "左侧第2肋骨",
"D": "左侧第6肋骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_5.nii.gz | rib_left_5 |
000074 | 1a | 在医学影像分析中，给定CT图像和掩膜位置，请判断对应的器官名称。 | {
"A": "左侧第2肋骨",
"B": "左侧第10肋骨",
"C": "左侧第12肋骨",
"D": "左侧第6肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_6.nii.gz | rib_left_6 |
000075 | 1a | 给定CT影像和掩膜，掩膜区域对应哪个器官？请选择。 | {
"A": "左侧第11肋骨",
"B": "左侧第1肋骨",
"C": "左侧第7肋骨",
"D": "左侧第3肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_7.nii.gz | rib_left_7 |
000076 | 1a | 分析给定CT和掩膜，请问掩膜位置的器官是下列选项中的哪一个？ | {
"A": "左侧第1肋骨",
"B": "左侧第3肋骨",
"C": "左侧第8肋骨",
"D": "左侧第11肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_8.nii.gz | rib_left_8 |
000077 | 1a | 给定CT影像和掩膜，请问掩膜覆盖的器官是什么？请从选项中选择。 | {
"A": "左侧第9肋骨",
"B": "左侧第12肋骨",
"C": "左侧第3肋骨",
"D": "左侧第10肋骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_9.nii.gz | rib_left_9 |
000078 | 1a | 在提供的CT影像资料中，请问掩膜位置的器官是以下哪一个？ | {
"A": "左侧第5肋骨",
"B": "左侧第2肋骨",
"C": "左侧第9肋骨",
"D": "左侧第10肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_10.nii.gz | rib_left_10 |
000079 | 1a | 基于CT影像和掩膜，请选择掩膜处对应的器官。 | {
"A": "左侧第11肋骨",
"B": "左侧第7肋骨",
"C": "左侧第5肋骨",
"D": "左侧第1肋骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_11.nii.gz | rib_left_11 |
000080 | 1a | 在CT图像中，掩膜覆盖的部位是哪个器官？请从以下选项中选择。 | {
"A": "左侧第10肋骨",
"B": "左侧第11肋骨",
"C": "左侧第1肋骨",
"D": "左侧第12肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_left_12.nii.gz | rib_left_12 |
000081 | 1a | 分析提供的CT和掩膜，请问掩膜位置的器官是什么？ | {
"A": "右侧第5肋骨",
"B": "右侧第1肋骨",
"C": "右侧第12肋骨",
"D": "右侧第3肋骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_1.nii.gz | rib_right_1 |
000082 | 1a | 观察给定CT影像和掩膜，请问掩膜对应的器官是以下哪一个？ | {
"A": "右侧第9肋骨",
"B": "右侧第2肋骨",
"C": "右侧第8肋骨",
"D": "右侧第11肋骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_2.nii.gz | rib_right_2 |
000083 | 1a | 根据CT图像及掩膜信息，请指出掩膜位置的器官名称。 | {
"A": "右侧第3肋骨",
"B": "右侧第7肋骨",
"C": "右侧第4肋骨",
"D": "右侧第12肋骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_3.nii.gz | rib_right_3 |
000084 | 1a | 基于CT影像资料，请判断掩膜标识的解剖结构是以下哪个器官？ | {
"A": "右侧第9肋骨",
"B": "右侧第4肋骨",
"C": "右侧第2肋骨",
"D": "右侧第5肋骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_4.nii.gz | rib_right_4 |
000085 | 1a | 给定CT扫描和掩膜，请判断掩膜区域的器官归属。 | {
"A": "右侧第9肋骨",
"B": "右侧第7肋骨",
"C": "右侧第1肋骨",
"D": "右侧第5肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_5.nii.gz | rib_right_5 |
000086 | 1a | 根据CT图像分析，掩膜区域对应哪个解剖结构？请选择器官名称。 | {
"A": "右侧第11肋骨",
"B": "右侧第6肋骨",
"C": "右侧第3肋骨",
"D": "右侧第10肋骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_6.nii.gz | rib_right_6 |
000087 | 1a | 给定CT影像和掩膜，请问掩膜覆盖的器官是什么？请从选项中选择。 | {
"A": "右侧第4肋骨",
"B": "右侧第2肋骨",
"C": "右侧第7肋骨",
"D": "右侧第11肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_7.nii.gz | rib_right_7 |
000088 | 1a | 在提供的CT影像及掩膜中，请识别掩膜区域对应的器官名称。 | {
"A": "右侧第10肋骨",
"B": "右侧第5肋骨",
"C": "右侧第8肋骨",
"D": "右侧第6肋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_8.nii.gz | rib_right_8 |
000089 | 1a | 在CT图像上，掩膜标记了哪个器官？请从选项中选择。 | {
"A": "右侧第12肋骨",
"B": "右侧第1肋骨",
"C": "右侧第3肋骨",
"D": "右侧第9肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_9.nii.gz | rib_right_9 |
000090 | 1a | 根据CT图像分析，掩膜区域对应哪个解剖结构？请选择器官名称。 | {
"A": "右侧第10肋骨",
"B": "右侧第5肋骨",
"C": "右侧第11肋骨",
"D": "右侧第9肋骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_10.nii.gz | rib_right_10 |
000091 | 1a | 基于提供的CT图像及掩膜，请问掩膜处的器官是哪一个？ | {
"A": "右侧第1肋骨",
"B": "右侧第7肋骨",
"C": "右侧第3肋骨",
"D": "右侧第11肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_11.nii.gz | rib_right_11 |
000092 | 1a | 在CT图像上，掩膜标记了哪个器官？请从选项中选择。 | {
"A": "右侧第1肋骨",
"B": "右侧第10肋骨",
"C": "右侧第7肋骨",
"D": "右侧第12肋骨"
} | D | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/rib_right_12.nii.gz | rib_right_12 |
000093 | 1a | 分析给定CT影像和掩膜，请识别掩膜位置的器官名称。 | {
"A": "左侧锁骨",
"B": "右侧肱骨",
"C": "左股骨",
"D": "左侧肩胛骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/clavicula_left.nii.gz | clavicula_left |
000094 | 1a | 根据CT图像分析，掩膜区域对应哪个解剖结构？请选择器官名称。 | {
"A": "右股骨",
"B": "左侧锁骨",
"C": "右侧锁骨",
"D": "右侧髋骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/clavicula_right.nii.gz | clavicula_right |
000095 | 1a | 在CT扫描中，掩膜指示了哪个器官？请从以下选项中选择。 | {
"A": "右侧髋骨",
"B": "左侧肩胛骨",
"C": "左侧肱骨",
"D": "左侧锁骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/scapula_left.nii.gz | scapula_left |
000096 | 1a | 在CT扫描中，掩膜指示了哪个器官？请从以下选项中选择。 | {
"A": "右侧肱骨",
"B": "左侧锁骨",
"C": "右侧肩胛骨",
"D": "左侧肩胛骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/scapula_right.nii.gz | scapula_right |
000097 | 1a | 给定CT影像和掩膜，请问掩膜覆盖的器官是什么？请从选项中选择。 | {
"A": "右股骨",
"B": "右侧锁骨",
"C": "左侧髋骨",
"D": "右侧肱骨"
} | C | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/hip_left.nii.gz | hip_left |
000098 | 1a | 根据CT图像及掩膜显示，请选择掩膜部位的器官名称。 | {
"A": "右侧髋骨",
"B": "左侧锁骨",
"C": "右侧肩胛骨",
"D": "右股骨"
} | A | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/hip_right.nii.gz | hip_right |
000099 | 1a | 根据CT图像及掩膜信息，请指出掩膜位置的器官名称。 | {
"A": "右侧锁骨",
"B": "左股骨",
"C": "左侧肱骨",
"D": "左侧肩胛骨"
} | B | imgs/CT/PTXH220103024.nii.gz | imgs/CT_seg/PTXH220103024/femur_left.nii.gz | femur_left |
End of preview.
MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
Dataset Summary
MetaStructAtlas is a large-scale grounded 3D vision-language dataset designed for functional and structural reasoning in whole-body PET/CT imaging.
Unlike existing medical vision-language datasets that mainly focus on single-modality or regional imaging, MetaStructAtlas integrates:
- 3D PET metabolic information,
- 3D CT anatomical structure,
- organ-level segmentation masks,
- structured radiology reports,
- spatially grounded vision-language annotations.
The dataset provides a unified framework for developing and evaluating foundation models capable of understanding the relationship between anatomical structures and metabolic abnormalities in whole-body PET/CT.
MetaStructAtlas contains:
- 490 paired whole-body PET/CT volumetric scans
- 50,470 organ-level segmentation masks
- 103 anatomical structure classes
- 305 fine-grained anatomical substructures
- 100,565 grounded visual question-answering (VQA) pairs
Each textual description is explicitly associated with corresponding anatomical regions and imaging evidence, enabling interpretable multimodal reasoning.
Dataset Motivation
Whole-body PET/CT combines:
- PET-derived molecular metabolic information
- CT-derived anatomical morphology
and is widely used for oncology screening, staging, treatment response evaluation, and systemic disease assessment.
However, current medical vision-language datasets are mainly limited to:
- 2D images,
- regional CT analysis,
- ungrounded image-report pairs,
- anatomical-only reasoning.
MetaStructAtlas addresses these limitations by providing dense spatial grounding between: PET image | CT image | Segmentation mask | Radiology description | Question-answer reasoning
This enables models to learn clinically meaningful relationships between:
- organ anatomy,
- morphological abnormalities,
- FDG metabolic activity.
Dataset Construction
The dataset construction pipeline contains four major stages.
1. Whole-body PET/CT Collection
MetaStructAtlas was constructed from retrospectively collected whole-body 18F-FDG PET/CT examinations.
Each case contains:
- co-registered PET volume
- CT volume
- clinical radiology reports
All imaging data were anonymized before dataset construction.
2. Anatomical Segmentation and Spatial Grounding
CT volumes were processed using an automated anatomical segmentation pipeline.
The dataset provides:
- 103 standardized anatomical masks per subject
- 305 fine-grained anatomical structures
These masks provide spatial references for grounding textual findings.
The anatomical structures cover:
- brain
- thoracic organs
- abdominal organs
- pelvic organs
- cardiovascular structures
- gastrointestinal tract
- vertebrae and ribs
3. Clinical Report Structuring
Free-text radiology reports were transformed into structured annotations.
The extraction process identifies:
Anatomical entities
Morphological descriptions
Examples:
- normal morphology
- abnormal density
- lesion characteristics
- structural changes
FDG metabolic descriptions
Examples:
- increased FDG uptake
- physiological uptake
- abnormal metabolic activity
The extracted descriptions are spatially linked to corresponding anatomical masks.
4. MetaStructVQA Generation
Based on grounded annotations, we generated MetaStructVQA, a hierarchical 3D VQA benchmark containing:
100,565 QA pairs.
Benchmark Structure
MetaStructVQA contains three reasoning levels.
Level 1: Foundational Grounding
Tasks:
Organ Identification
Input:
- CT volume
- anatomical mask
- question
Output:
- anatomical structure classification
Modality Identification
Input:
- PET or CT volume
Output:
- modality classification
Purpose:
Evaluate basic visual perception and anatomical localization.
Level 2: Targeted Clinical Characterization
Tasks include:
Morphological Description
Based on CT:
- lesion appearance
- density
- structural abnormalities
FDG Metabolism Description
Based on PET/CT:
- FDG uptake pattern
- metabolic abnormalities
Both tasks include:
- mask-guided versions
- mask-free versions
Purpose:
Evaluate structure-aware clinical reasoning.
Level 3: Comprehensive Multimodal Reasoning
Tasks integrate:
- anatomical information
- morphological characteristics
- metabolic activity
- quantitative measurements
Examples:
- SUVmax interpretation
- lesion localization
- anatomical relationship reasoning
- negative finding identification
Purpose:
Evaluate advanced whole-body PET/CT reasoning.
Data Format
Each sample may contain:
{ "pet": "xxx.nii.gz", "ct": "xxx.nii.gz", "mask": "xxx.nii.gz", "report": "...", "question": "...", "options": [], "answer": "" }
Intended Use
MetaStructAtlas can support research in:
- 3D medical vision-language models
- multimodal foundation models
- PET/CT representation learning
- anatomical reasoning
- metabolic reasoning
- medical VQA
- radiology AI
Limitations
Current version limitations:
- Organ-level grounding
The dataset focuses on anatomical structures rather than lesion-level segmentation.
- Single PET tracer
The dataset mainly includes 18F-FDG PET/CT.
- Spatial alignment
Segmentation masks are derived from CT and transferred to PET space through registration.
Current Release Status
🚧 Under preparation
The dataset repository currently provides documentation only.
The full imaging dataset will become available after publication acceptance.
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