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README.md

@@ -8,57 +8,6 @@ tags:
 - markdown
 - uv-script
 - generated
-dataset_info:
-  features:
-  - name: image_id
-    dtype: int64
-  - name: image
-    dtype: image
-  - name: width
-    dtype: int32
-  - name: height
-    dtype: int32
-  - name: objects
-    list:
-    - name: bw_id
-      dtype: string
-    - name: category_id
-      dtype:
-        class_label:
-          names:
-            '0': Photograph
-            '1': Illustration
-            '2': Map
-            '3': Comics/Cartoon
-            '4': Editorial Cartoon
-            '5': Headline
-            '6': Advertisement
-    - name: image_id
-      dtype: string
-    - name: id
-      dtype: int64
-    - name: area
-      dtype: int64
-    - name: bbox
-      list: float32
-      length: 4
-    - name: iscrowd
-      dtype: bool
-  - name: markdown
-    dtype: string
-  - name: inference_info
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 43451828
-    num_examples: 128
-  download_size: 40917294
-  dataset_size: 43451828
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 ---
 
 # Document OCR using dots.ocr
@@ -70,8 +19,8 @@ This dataset contains OCR results from images in [biglam/loc_beyond_words](https
 - **Source Dataset**: [biglam/loc_beyond_words](https://huggingface.co/datasets/biglam/loc_beyond_words)
 - **Model**: [rednote-hilab/dots.ocr](https://huggingface.co/rednote-hilab/dots.ocr)
 - **Number of Samples**: 128
-- **Processing Time**: 5.2 min
-- **Processing Date**: 2025-10-07 14:37 UTC
+- **Processing Time**: 4.8 min
+- **Processing Date**: 2025-10-07 14:45 UTC
 
 ### Configuration
 
@@ -79,7 +28,7 @@ This dataset contains OCR results from images in [biglam/loc_beyond_words](https
 - **Output Column**: `markdown`
 - **Dataset Split**: `train`
 - **Batch Size**: 128
-- **Prompt Mode**: layout-all
+- **Prompt Mode**: ocr
 - **Max Model Length**: 8,192 tokens
 - **Max Output Tokens**: 8,192
 - **GPU Memory Utilization**: 80.0%
@@ -130,7 +79,7 @@ uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \
     <output-dataset> \
     --image-column image \
     --batch-size 128 \
-    --prompt-mode layout-all \
+    --prompt-mode ocr \
     --max-model-len 8192 \
     --max-tokens 8192 \
     --gpu-memory-utilization 0.8