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README.md

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+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: pdf_name
+    dtype: string
+  - name: page_number
+    dtype: int64
+  - name: page_size
+    list: int64
+  - name: layout
+    list:
+    - name: type
+      dtype: string
+    - name: coordinates
+      list: int64
+    - name: content
+      dtype: string
+    - name: index
+      dtype: int64
+  - name: content_list
+    dtype: string
+  - name: middle
+    dtype: string
+  - name: model
+    dtype: string
+  - name: markdown
+    dtype: string
+  - name: html
+    dtype: string
+  - name: html_with_coordinates
+    dtype: string
+  - name: html_compact
+    dtype: string
+  - name: raw_md
+    dtype: string
+  - name: lines
+    dtype: string
+  - name: images
+    dtype: string
+  - name: equations
+    dtype: string
+  - name: tables
+    dtype: string
+  - name: pdf_info
+    dtype: string
+  - name: vqa
+    list:
+    - name: user
+      dtype: string
+    - name: assistant
+      dtype: string
+    - name: source
+      dtype: string
+  splits:
+  - name: train
+    num_examples: 14985
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# v1v1d_docmatix_1k_fast
+
+A VIVID dataset containing document layout information with rich annotations.
+
+## Dataset Description
+
+This dataset contains PDF document pages with extracted layout information including:
+- **Layout boxes**: Bounding boxes for text, images, tables, equations
+- **Multiple output formats**: Markdown, HTML, HTML with coordinates
+- **VQA pairs**: Visual question-answer pairs for each page
+- **Raw content**: Lines, images, equations, tables extracted separately
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("v1v1d/v1v1d_docmatix_1k_fast")
+print(dataset)
+
+# Access a sample
+sample = dataset["train"][0]
+print(sample["markdown"])
+```
+
+## License
+
+Please refer to the original Docmatix dataset license.

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