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13point5/lineex-test

LineEX Test Split This dataset is a structured Hugging Face mirror of the test split released with the LineEX paper, "LineEX: Data Extraction from Scientific Line Charts" (WACV 2023). Repo: 13point5/lineex-test Split: test Rows: 20,000 Source format: PNG images plus COCO-style chart-element and line annotations Columns image_id file_name image width height data_type chart_elements lines chart_elements fields annotation_id category_id… See the full description on the dataset page: https://huggingface.co/datasets/13point5/lineex-test.

sourceHugging Faceupdated 7mo agoView on Hugging Face
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LineEX Test Split

This dataset is a structured Hugging Face mirror of the test split released with the LineEX paper, "LineEX: Data Extraction from Scientific Line Charts" (WACV 2023).

  • —Repo: 13point5/lineex-test
  • —Split: test
  • —Rows: 20,000
  • —Source format: PNG images plus COCO-style chart-element and line annotations

Columns

  • —image_id
  • —file_name
  • —image
  • —width
  • —height
  • —data_type
  • —chart_elements
  • —lines

chart_elements fields

  • —annotation_id
  • —category_id
  • —category_name
  • —bbox_xywh
  • —area
  • —text
  • —line_id

lines fields

  • —annotation_id
  • —category_id
  • —category_name
  • —line_name
  • —polyline_xy
  • —raw_series_xy
  • —area

Chart element category mapping

  • —0: Legend
  • —1: ValueAxisTitle
  • —2: ChartTitle
  • —3: CategoryAxisTitle
  • —4: PlotArea
  • —5: InnerPlotArea
  • —6: XY_Ticks
  • —7: LegendMarker
  • —8: LegendText
  • —9: LegendElement

Notes

  • —The original cls_anno.json category list is incomplete relative to the annotation IDs. This mirror uses the 10-class mapping defined in the LineEX codebase.
  • —line_id links legend marker annotations to line annotations within the same image.
  • —lines.line_name is derived from the legend structure and may be null when no legend-text association can be inferred for a series.
  • —This repo mirrors only the test split.

License

This mirror does not assert a new license for the data. Verify redistribution terms with the original dataset authors before making the dataset public.