Update README.md

README.md

@@ -18,70 +18,38 @@ To construct a comprehensive dataset for document parsing, we integrate both rea
 
 # Data Statistics
 
-Due to company policy constraints, we are currently open-sourcing only a portion of the training data. The statistics are as follows:
-
 | Document Type | Samples Number | BBox and Reading Order | 
 | :---: | :---: | :---: |
-| Synthetic Documents | 6546 | ✓ |
-| Financial Reports | 2000 ||
-| Medical Reports | 2000 ||
-| Academic Papers | 5979 ||
-| Books | 1749 ||
-| Magazines | 1688 ||
-| Web Pages | 2000 ||
-| All | 21962 ||
-
- The full dataset will be released in the future. We appreciate your understanding.
-
-# Data Format
-
-Full-page document parsing format:
+| Synthetic Documents | 6.5k | ✓ |
+| Financial Reports | 16.1k ||
+| Medical Reports |5k||
+| Academic Papers | 8.9k ||
+| Books | 10.5k ||
+| Magazines | 3k ||
+| Web Pages | 5k ||
+| All | 55k ||
+
+# Data Structure
+- id: The MD5 hash of the image, which uniquely identifies the image.
+- image: Document image.
+- gt: The content represented in Markdown/HTML format.
+- bbox: The position of layout elements, represented by coordinates [x1, y1, x2, y2].
+- attributes: Metadata describing the document type and task category.
+
+# Citation
 
-```json
-[
-  {
-    "images": ["path/to/image"],
-    "conversations": [
-      {
-        "from": "human",
-        "value": "prompt"
-      },
-      {
-        "from": "gpt",
-        "value": "ground_truth"
-      }
-    ],
-    "attributes": {
-      "document_type": "document_type",
-      "task": "task"
-    }
-  },
-  ...
-]
 ```
-
-Layout analysis and reading order format:
-
-```json
-[
-  {
-    "images": ["path/to/image"],
-    "form": [
-      {
-        "category": "The category is in [\"title\", \"plain_text\", \"table\", \"table_caption\", \"figure\", \"figure_caption\", \"header\", \"footer\"]"
-        "bbox": [x1, y1, x2, y2],
-        "text": "content of the element",
-        "html": "table html"
-      },
-      ...
-    ]
-  },
-  ...
-]
+@misc{wang2025infinityparserlayoutaware,
+      title={Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing}, 
+      author={Baode Wang and Biao Wu and Weizhen Li and Meng Fang and Yanjie Liang and Zuming Huang and Haozhe Wang and Jun Huang and Ling Chen and Wei Chu and Yuan Qi},
+      year={2025},
+      eprint={2506.03197},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2506.03197}, 
+}
 ```
 
-Note that the elements in 'form' are sorted in reading order.
-
 # License
 
 This dataset is licensed under cc-by-nc-sa-4.0.