Datasets:
File size: 1,785 Bytes
bd518e1 a89f2f7 bd518e1 a89f2f7 6ca0bc6 a89f2f7 6ca0bc6 a89f2f7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | ---
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.
|