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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 ({'image_name'}) and 7 missing columns ({'option4', 'file_name', 'option1', 'type', 'image_id', 'option3', 'option2'}).
This happened while the csv dataset builder was generating data using
hf://datasets/OralGPT/MMOral-OPG-Bench/MMOral-OPG-Bench-Open-Ended.tsv (at revision 512cba7dc52e498ab0b3582245f9c73f71578117)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
index: int64
image_name: string
image: string
question: string
answer: string
category: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 942
to
{'index': Value('int64'), 'image_id': Value('float64'), 'file_name': Value('string'), 'question': Value('string'), 'category': Value('string'), 'image': Value('string'), 'type': Value('string'), 'option1': Value('string'), 'option2': Value('string'), 'option3': Value('string'), 'option4': Value('string'), 'answer': 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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 1 new columns ({'image_name'}) and 7 missing columns ({'option4', 'file_name', 'option1', 'type', 'image_id', 'option3', 'option2'}).
This happened while the csv dataset builder was generating data using
hf://datasets/OralGPT/MMOral-OPG-Bench/MMOral-OPG-Bench-Open-Ended.tsv (at revision 512cba7dc52e498ab0b3582245f9c73f71578117)
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_id
float64 | file_name
string | question
string | category
string | image
string | type
string | option1
string | option2
string | option3
string | option4
string | answer
string |
|---|---|---|---|---|---|---|---|---|---|---|---|
0
| 16,640
|
016640.jpg
|
Which of the following teeth is suspected to have caries?
|
Teeth,Patho
| "/9j/4AAQSkZJRgABAQEBIgEiAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED)
|
MCQ
|
#15
|
#24
|
#27
|
#42
|
A
|
1
| 16,640
|
016640.jpg
|
How many natural teeth are visualized in the panoramic radiograph?
|
Teeth
| "/9j/4AAQSkZJRgABAQEBIgEiAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED)
|
MCQ
|
28
|
31
|
32
|
34
|
B
|
2
| 16,640
|
016640.jpg
|
Which tooth shows signs of a periapical abscess?
|
Teeth,Patho
| "/9j/4AAQSkZJRgABAQEBIgEiAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED)
|
MCQ
|
#45
|
#46
|
#47
|
#48
|
B
|
3
| 16,640
|
016640.jpg
|
Which of the following teeth has a crown and root canal treatment?
|
Teeth,HisT
| "/9j/4AAQSkZJRgABAQEBIgEiAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED)
|
MCQ
|
#15
|
#15, and #16
|
#26
|
#31
|
B
|
4
| 16,640
|
016640.jpg
|
Which of the following is TRUE regarding the jaw-specific observations?
|
Jaw
| "/9j/4AAQSkZJRgABAQEBIgEiAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBwYGCAsICQo(...TRUNCATED)
|
MCQ
|
Apparent alveolar bone loss noted
|
Unilateral mandibular canals
|
No apparent bone loss
|
No mandibular canals visible
|
A
|
5
| 16,641
|
016641.jpg
|
What is required for the periapical lesion at tooth 36?
|
Teeth,Patho
| "/9j/4AAQSkZJRgABAQAAAQABAAD/4AAQSkZJRgABAAEA6wDrAAD//gAfTEVBRCBUZWNobm9sb2dpZXMgSW5jLiBWMS4wMQD/2wC(...TRUNCATED)
|
MCQ
|
Extraction
|
Filling
|
Crown restoration
|
Endodontic evaluation
|
D
|
6
| 16,641
|
016641.jpg
|
Which structures are visible in the image?
|
HisT,Jaw
| "/9j/4AAQSkZJRgABAQAAAQABAAD/4AAQSkZJRgABAAEA6wDrAAD//gAfTEVBRCBUZWNobm9sb2dpZXMgSW5jLiBWMS4wMQD/2wC(...TRUNCATED)
|
MCQ
|
Bilateral maxillary sinuses
|
Unilateral mandibular canal
|
Nasal cavity
|
Bilateral mandibular canals and bilateral maxillary sinuses
|
D
|
7
| 16,641
|
016641.jpg
|
Which tooth exhibits imaging features suggestive of a periapical granuloma?
|
Teeth,Patho
| "/9j/4AAQSkZJRgABAQAAAQABAAD/4AAQSkZJRgABAAEA6wDrAAD//gAfTEVBRCBUZWNobm9sb2dpZXMgSW5jLiBWMS4wMQD/2wC(...TRUNCATED)
|
MCQ
|
#34
|
#35
|
#36
|
#37
|
C
|
8
| 16,641
|
016641.jpg
|
Which tooth is obvious for a filling?
|
Teeth,HisT,SumRec
| "/9j/4AAQSkZJRgABAQAAAQABAAD/4AAQSkZJRgABAAEA6wDrAAD//gAfTEVBRCBUZWNobm9sb2dpZXMgSW5jLiBWMS4wMQD/2wC(...TRUNCATED)
|
MCQ
|
#35
|
#37
|
#38
|
#39
|
C
|
9
| 16,642
|
016642.jpg
|
Is there any apparent bone loss in the image?
|
Jaw
| "/9j/4AAQSkZJRgABAQAAAQABAAD/4AAQSkZJRgABAAEA6wDrAAD//gAfTEVBRCBUZWNobm9sb2dpZXMgSW5jLiBWMS4wMQD/2wC(...TRUNCATED)
|
MCQ
|
Yes
|
No
|
Unclear
|
Not mentioned
|
B
|
End of preview.
🦷 [NeurIPS'25] MMOral-OPG-Bench
MMOral-Bench offers a curated evaluation suite for panoramic X-ray analysis.
This benchmark consists of 100 images, paired with 491 closed-ended and 578 open-ended questions.
All cases in MMOral-Bench are manually chosen and checked from the MMOral to ensure their quality and reliability.
🚀 How to Use
You can explore and evaluate your model on MMOral-OPG-Bench easily.
For detailed setup and instructions, please refer to the official documentation:
https://github.com/isbrycee/OralGPT/tree/main/MMOral-Bench-EvalKit
📌 Citation
If you find our work helpful, please cite us:
@article{oralgpt2025,
title={Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis},
author={Hao, Jing and Fan, Yuxuan and Sun, Yanpeng and Guo, Kaixin and Lin, Lizhuo and Yang, Jinrong and Ai, Qi Yong H and Wong, Lun M and Tang, Hao and Hung, Kuo Feng},
journal={arXiv preprint arXiv:2509.09254},
year={2025}
}
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