Update README.md

README.md

@@ -32,4 +32,50 @@ language:
 - ja
 size_categories:
 - 10K<n<100K
----
+---
+
+# Synth-JDoc
+
+[Paper]() | [Code]()
+
+**Synth-JDoc** is a dataset of synthetic document images generated using HTML/CSS.
+
+We generate embedded images, captions, and titles from prepared text, and use these elements to synthesize document images featuring diverse multi-column layouts in both vertical and horizontal writing.
+
+Because the document images are synthesized directly from text, this dataset is completely free from OCR errors.
+
+![Construction Pipeline](./figs/overview_method.jpg)
+
+
+## Dataset details
+
+- `id`
+  - Image ID
+- `image`
+  - PIL Image
+- `question`
+  - Prompt for VLM
+- `text`
+  - The text written within the synthetic document image
+- `is_vertival`
+  - `True` if the layout uses vertical writing
+- `num_columns`
+  - Number of columns
+- `noise_type`
+  - 0: No noise, 1: scan like noise, 2: Noise by Augraphy
+
+
+This dataset was introduced in our paper: [Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images]().
+
+The code used to generate this dataset is available at our GitHub repository: []()
+
+Before releasing the dataset, we manually checked images flagged by an NSFW image detection model and removed those confirmed to be NSFW.
+Therefore, please note that this dataset is not identical to the one used for the experiments in our paper.
+Additionally, please be aware that this NSFW filtering process is not perfect.
+
+## License
+
+
+## Citation
+```
+```