| --- |
| pretty_name: LineEX Test Split |
| task_categories: |
| - image-classification |
| - object-detection |
| - image-to-text |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/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` |
| - `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. |
|
|
