Upload README.md with huggingface_hub

README.md

@@ -2,54 +2,90 @@
 tags:
 - ocr
 - document-processing
-- unlimited-ocr
-- baidu
+- deepseek
+- deepseek-ocr-2
 - markdown
 - uv-script
 - generated
 ---
 
-# Document OCR using Unlimited-OCR
+# Document OCR using DeepSeek-OCR-2
 
-This dataset contains OCR results for [davanstrien/encyclopaedia-britannica-1771](https://huggingface.co/datasets/davanstrien/encyclopaedia-britannica-1771)
-produced by [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR) with vLLM.
+This dataset contains markdown-formatted OCR results from images in [davanstrien/encyclopaedia-britannica-1771](https://huggingface.co/datasets/davanstrien/encyclopaedia-britannica-1771) using DeepSeek-OCR-2.
 
 ## Processing Details
 
 - **Source Dataset**: [davanstrien/encyclopaedia-britannica-1771](https://huggingface.co/datasets/davanstrien/encyclopaedia-britannica-1771)
-- **Model**: [baidu/Unlimited-OCR](https://huggingface.co/baidu/Unlimited-OCR)
+- **Model**: [deepseek-ai/DeepSeek-OCR-2](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2)
 - **Number of Samples**: 5
-- **Processing Time**: 2.5 min
-- **Processing Date**: 2026-07-07 23:07 UTC
+- **Processing Time**: 2.2 min
+- **Processing Date**: 2026-07-07 23:42 UTC
+
+### Configuration
+
+- **Image Column**: `image`
 - **Output Column**: `markdown`
-- **Split**: `train`
+- **Dataset Split**: `train`
+- **Batch Size**: 8
+- **Max Model Length**: 8,192 tokens
+- **Max Output Tokens**: 8,192
+- **GPU Memory Utilization**: 80.0%
+
+## Model Information
+
+DeepSeek-OCR-2 is a 3B parameter vision-language model featuring Visual Causal
+Flow architecture for more human-like visual encoding. Building on DeepSeek-OCR v1,
+it offers enhanced document understanding with dynamic resolution up to
+(0-6)x768x768 + 1x1024x1024 patches.
 
-## Output
+### Capabilities
+- LaTeX equations - Mathematical formulas preserved in LaTeX format
+- Tables - Extracted and formatted as HTML/markdown
+- Document structure - Headers, lists, and formatting maintained
+- Image grounding - Spatial layout and bounding box information
+- Complex layouts - Multi-column and hierarchical structures
+- Multilingual - Supports multiple languages
 
-The column holds the model's raw layout-grounded markdown: text spans tagged `<|ref|>...<|/ref|>` with `<|det|>...<|/det|>` coordinate boxes (coords 0-1000). Strip them with `re.sub(r'<\|det\|>.*?<\|/det\|>', '', t)` then `re.sub(r'<\|/?ref\|>', '', t)`.
+## Dataset Structure
 
-Tables are returned as HTML and equations as LaTeX.
+The dataset contains all original columns plus:
+- `markdown`: The extracted text in markdown format with preserved structure
+- `inference_info`: JSON list tracking all OCR models applied to this dataset
 
 ## Usage
 
 ```python
 from datasets import load_dataset
+import json
 
-ds = load_dataset("davanstrien/ocr-bench-smoke", split="train")
-print(ds[0]["markdown"])
+# Load the dataset
+dataset = load_dataset("{{output_dataset_id}}", split="train")
+
+# Access the markdown text
+for example in dataset:
+    print(example["markdown"])
+    break
+
+# View all OCR models applied to this dataset
+inference_info = json.loads(dataset[0]["inference_info"])
+for info in inference_info:
+    print(f"Column: {{info['column_name']}} - Model: {{info['model_id']}}")
 ```
 
 ## Reproduction
 
-Generated with the [uv-scripts/ocr](https://huggingface.co/datasets/uv-scripts/ocr) Unlimited-OCR
-vLLM recipe. Unlimited-OCR needs Baidu's dedicated vLLM image:
+This dataset was generated using the [uv-scripts/ocr](https://huggingface.co/datasets/uv-scripts/ocr) DeepSeek-OCR-2 vLLM script:
 
 ```bash
-hf jobs uv run --flavor l4x1 -s HF_TOKEN \
-    --image vllm/vllm-openai:unlimited-ocr --python /usr/bin/python3 \
-    -e PYTHONPATH=/usr/local/lib/python3.12/dist-packages \
-    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/unlimited-ocr-vllm.py \
-    davanstrien/encyclopaedia-britannica-1771 <output-dataset>
+uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/deepseek-ocr2-vllm.py \\
+    davanstrien/encyclopaedia-britannica-1771 \\
+    <output-dataset> \\
+    --image-column image
 ```
 
+## Performance
+
+- **Processing Speed**: ~0.0 images/second
+- **Processing Method**: Batch processing with vLLM (2-3x speedup over sequential)
+
 Generated with [UV Scripts](https://huggingface.co/uv-scripts)