Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
medical
License:
Commit
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Parent(s):
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Update README.md
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README.md
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@@ -46,11 +46,10 @@ The question-answer pairs are in English.
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## Dataset Structure
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### Data Instances
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Each instance consists of an image-question-answer triplet.
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excluding the file extension, which is `.jpg`.
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Example from training dataset:
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```
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{
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'image': 'train_0001',
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'question': 'What is the appearance of the chromatin texture, with fine and coarse clumps?',
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}
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```
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Example from validation dataset:
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```
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{
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'image': 'val_0000',
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'question': 'How are the organisms?',
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}
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```
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Example from test dataset:
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```
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{
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'image': 'test_0001',
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'question': 'Is squamous cell carcinoma composed of nests of malignant cells that partially recapitulate the stratified organization of squamous epithelium?',
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'answer': 'yes'
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}
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```
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## Dataset Structure
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### Data Instances
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Each instance consists of an image-question-answer triplet.
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Example from training dataset:
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```
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{
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'image': 'train_0001',
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'question': 'What is the appearance of the chromatin texture, with fine and coarse clumps?',
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}
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```
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Example from validation dataset:
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```
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{
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'image': 'val_0000',
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'question': 'How are the organisms?',
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}
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```
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Example from test dataset:
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```
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{
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'image': 'test_0001',
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'question': 'Is squamous cell carcinoma composed of nests of malignant cells that partially recapitulate the stratified organization of squamous epithelium?',
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'answer': 'yes'
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}
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```
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### Data Fields
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- `'image'`: the filename of the referenced image, excluding the file extension, which is `.jpg`.
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- `'question'`: the text of the question about the image.
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- `'answer'`: the text of the expected answer.
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### Data Splits
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The dataset is split into training, validation and test. The split is provided by the authors.
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| | train | validation | test |
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|-------------------------|------:|-----------:|-----:|
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| Input Sentences | | | |
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| Average Sentence Length | | | |
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