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from ..root import (
DATASETS,
QUESTION_PLACEHOLDER,
IMAGE_PLACEHOLDER,
)
from ..utils import MInstrDataset
@DATASETS.register_module()
class VQAEXDataset(MInstrDataset):
def __init__(self, *args, is_e_dataset: bool, has_annotation=True, **kwargs):
super().__init__(*args, **kwargs, placeholders=(IMAGE_PLACEHOLDER, QUESTION_PLACEHOLDER))
self.has_annotation = has_annotation
self.is_e_dataset = is_e_dataset
def __getitem__(self, index):
item = self.get_raw_item(index)
image = self.get_image(image_path=item['file_path'])
question = item['question']
final_question = self.get_template().replace(QUESTION_PLACEHOLDER, question)
if self.has_annotation:
if self.is_e_dataset:
final_answer = ""
final_answer += item['explanation'][0]
final_answer += f" So the answer is {item['multiple_answers']}."
else:
final_answer = ""
final_answer += "".join(item['justification'])
final_answer += f" So the answer is {item['multiple_choice_answer']}."
else:
final_answer = 'UNKNOWN'
ret = {
'image': image,
'conversations': [
{
'from': 'human',
'value': final_question,
},
{
'from': 'gpt',
'value': final_answer,
},
]
}
return ret
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