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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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