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README.md

@@ -7,25 +7,6 @@ tags:
 - markdown
 - uv-script
 - generated
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: markdown
-    dtype: string
-  - name: inference_info
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 153756
-    num_examples: 1
-  download_size: 150762
-  dataset_size: 153756
 ---
 
 # Document OCR using DeepSeek-OCR
@@ -37,18 +18,22 @@ This dataset contains markdown-formatted OCR results from images in [Alysonhower
 - **Source Dataset**: [Alysonhower/test](https://huggingface.co/datasets/Alysonhower/test)
 - **Model**: [deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR)
 - **Number of Samples**: 1
-- **Processing Time**: 1.6 minutes
-- **Processing Date**: 2025-10-23 02:02 UTC
+- **Processing Time**: 1.4 min
+- **Processing Date**: 2025-10-23 02:04 UTC
 
 ### Configuration
 
 - **Image Column**: `image`
 - **Output Column**: `markdown`
 - **Dataset Split**: `train`
-- **Resolution Mode**: gundam
-- **Base Size**: 1024
-- **Image Size**: 640
-- **Crop Mode**: True
+- **Batch Size**: 8
+- **Resolution Mode**: large
+- **Base Size**: 1280
+- **Image Size**: 1280
+- **Crop Mode**: False
+- **Max Model Length**: 8,192 tokens
+- **Max Output Tokens**: 8,192
+- **GPU Memory Utilization**: 80.0%
 
 ## Model Information
 
@@ -96,22 +81,19 @@ for info in inference_info:
 
 ## Reproduction
 
-This dataset was generated using the [uv-scripts/ocr](https://huggingface.co/datasets/uv-scripts/ocr) DeepSeek OCR script:
+This dataset was generated using the [uv-scripts/ocr](https://huggingface.co/datasets/uv-scripts/ocr) DeepSeek OCR vLLM script:
 
 ```bash
-uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/deepseek-ocr.py \
-    Alysonhower/test \
-    <output-dataset> \
-    --resolution-mode gundam \
+uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/deepseek-ocr-vllm.py \\
+    Alysonhower/test \\
+    <output-dataset> \\
+    --resolution-mode large \\
     --image-column image
 ```
 
 ## Performance
 
 - **Processing Speed**: ~0.0 images/second
-- **Processing Method**: Sequential (Transformers API, no batching)
-
-Note: This uses the official Transformers implementation. For faster batch processing,
-consider using the vLLM version once DeepSeek-OCR is officially supported by vLLM.
+- **Processing Method**: Batch processing with vLLM (2-3x speedup over sequential)
 
 Generated with 🤖 [UV Scripts](https://huggingface.co/uv-scripts)