Style the DigitizerBench card with official LinePilot visuals

README.md

@@ -11,20 +11,39 @@ size_categories:
 - 1K<n<10K
 ---
 
-# DigitizerBench
+<p align="center">
+  <img src="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/assets/banner.png" alt="LinePilot Digitizer" width="820">
+</p>
 
-DigitizerBench measures how accurately a tool can recover numerical curves from raster line plots. Each PNG is paired with the original curve coordinates and the rendered tick positions, so you can evaluate curve recovery and axis calibration separately.
+<h1 align="center">DigitizerBench</h1>
 
-## Quick start
+<p align="center"><strong>A benchmark for recovering numerical curves from line-plot images</strong></p>
+
+<p align="center">
+  <a href="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/full.zip"><img src="https://img.shields.io/badge/Download%20Full-2%2C980%20plots-004E60" alt="Download DigitizerBench Full, 2,980 plots"></a>
+  <a href="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/lite.zip"><img src="https://img.shields.io/badge/Download%20Lite-60%20plots-007F87" alt="Download DigitizerBench Lite, 60 plots"></a>
+  <a href="https://arxiv.org/abs/2609.19377"><img src="https://img.shields.io/badge/arXiv-2609.19377-BA0C2F" alt="Read the LinePilot paper on arXiv"></a>
+</p>
+
+<p align="center">
+  <a href="https://rayana07.github.io/LinePilot/">Project website</a> ·
+  <a href="https://github.com/RayanA07/LinePilot">GitHub</a> ·
+  <a href="https://arxiv.org/pdf/2609.19377">Paper PDF</a> ·
+  <a href="https://rayana07.github.io/LinePilot/assets/LinePilot_Online_Appendix.pdf">Online appendix</a>
+</p>
+
+Each PNG comes with the original curve coordinates and the rendered tick positions. Use them to evaluate curve recovery and axis calibration separately.
+
+## Download and quick start
 
 Choose **Lite** for a 60-image human-guided comparison or a quick pipeline check. Choose **Full** for automatic evaluation and analysis across rendering and signal conditions. Both downloads include their ground truth.
 
-| Download | Images | Use |
-| --- | ---: | --- |
-| [Lite](https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/lite.zip) | 60 | The fixed, outcome-independent set used in the paper's human-guided comparison |
-| [Full](https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/full.zip) | 2,980 | 2,500 core plots and 480 matched rerenderings for automatic evaluation |
+| Download | Images | ZIP size | Use |
+| --- | ---: | ---: | --- |
+| [Lite](https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/lite.zip) | 60 | 16.3 MiB | The fixed, outcome-independent set used in the paper's human-guided comparison |
+| [Full](https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/full.zip) | 2,980 | 715 MiB | 2,500 core plots and 480 matched rerenderings for automatic evaluation |
 
-Download and unpack Lite, then load a plot and its reference data:
+Download and unpack Lite, then load a plot and its reference data. While the repository is private, use `hf auth login` with an account that has access.
 
 ```bash
 python -m pip install huggingface_hub pandas pyarrow pillow
@@ -53,6 +72,20 @@ for line_id, points in curves.groupby("line_id"):
 
 For Full, replace `lite.zip` and `digitizerbench/lite` with `full.zip` and `digitizerbench/full`.
 
+## From a plot image to recovered curves
+
+The Altair example below shows two overlapping series from DigitizerBench and the corresponding LinePilot OCR recovery from Figure 1b of the paper.
+
+| Benchmark input | LinePilot OCR recovery |
+| :---: | :---: |
+| <img src="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/assets/example-original.png" alt="Original Altair plot with two overlapping curves" width="280"> | <img src="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/assets/example-linepilot-ocr.png" alt="LinePilot OCR recovery for the two curves in the original Altair plot" width="280"> |
+
+<p align="center">
+  <img src="https://huggingface.co/datasets/LinePilot/DigitizerBench/resolve/main/assets/demo.gif" alt="Animated LinePilot illustration showing a line traced column by column and its coordinates written to CSV" width="420">
+  <br>
+  <sub>LinePilot follows each curve across the image and exports its calibrated x, y coordinates.</sub>
+</p>
+
 ## Files and ground truth
 
 | File | Contents |
@@ -72,9 +105,9 @@ Run your digitizer on the PNGs, then join the recovered data to ground truth by
 
 Lite is nested within Full. For custom train/test partitions, keep all variants sharing a `base_id` together. Results characterize recovery on these controlled renders. Scanned pages, compression and real-world annotation styles require separate evaluation.
 
-## Project and citation
+## Citation
 
-[LinePilot website](https://rayana07.github.io/LinePilot/) · [GitHub and usage docs](https://github.com/RayanA07/LinePilot) · [Paper](https://arxiv.org/abs/2609.19377) · [Online appendix](https://github.com/RayanA07/LinePilot/blob/main/docs/assets/LinePilot_Online_Appendix.pdf) · [Issues](https://github.com/RayanA07/LinePilot/issues)
+If you use DigitizerBench, cite *LinePilot Digitizer: Line-Plot Recovery with Manual and Automatic Calibration*. For the digitizer itself, see the [LinePilot releases](https://github.com/RayanA07/LinePilot/releases/latest). Report benchmark or dataset issues on [GitHub](https://github.com/RayanA07/LinePilot/issues).
 
 ```bibtex
 @article{ma2026linepilot,