Figure Separation Training Data For EXSCLAIM
Data Fields
One record refers to one figure's information from the paper.
- Journal: String. The journal that this article was taken from (i.e., arXiv, Nature)
- ID: String. The ID of the article that this figure comes from, as well as it's figure number.
- URL: String. The ID to the article.
- Image: PIL.Image.Image. A PIL instance of the image.
- Info:
- Master Image: List[].
- Subfigure Label: List[].
- Scale Bar Label: List[].
- Scale Bar Line: List[].
- Created At: Timestamp[s]. The time that this figure was scraped.
features = datasets.Features({
"Journal": datasets.Value("string"),
"ID": datasets.Value("string"),
"Url": datasets.Value("string"),
"Image": datasets.Image(),
"Info": {
"Master Image": [{
"classification": datasets.ClassLabel(
names=[
"microscopy",
"diffraction",
"graph",
"basic photo",
"illustration",
"unclear",
"parent",
"subfigure",
]
),
"geometry": [{
"x": datasets.Value("int16"),
"y": datasets.Value("int16")
}]
}],
"Subfigure Label": [{
"text": datasets.Value("string"),
"geometry": [{
"x": datasets.Value("int16"),
"y": datasets.Value("int16")
}]
}],
"Scale Bar Label": [{
"text": datasets.Value("string"),
"geometry": [{
"x": datasets.Value("int16"),
"y": datasets.Value("int16")
}]
}],
"Scale Bar Line": [{
"geometry": [{
"x": datasets.Value("int16"),
"y": datasets.Value("int16")
}]
}],
},
"Created At": datasets.Value("timestamp[s]"),
})
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