Add link to paper, refine task category, and add relevant tags

README.md

@@ -1,4 +1,12 @@
 ---
+language:
+- es
+license: apache-2.0
+size_categories:
+- 10K<n<100K
+task_categories:
+- image-text-to-text
+pretty_name: EnglishOCR
 dataset_info:
   features:
   - name: image
@@ -16,21 +24,16 @@ configs:
   data_files:
   - split: train
     path: data/train-*
-license: apache-2.0
-language:
-- es
 tags:
 - finance
-pretty_name: EnglishOCR
-size_categories:
-- 10K<n<100K
-task_categories:
-- image-to-text
+- OCR
+- document-understanding
 ---
 
 ----------------------------------------------------------------
 # Dataset Card for EnglishOCR Dataset
 
+[Paper](https://huggingface.co/papers/2506.14028)
 
 ### Dataset Summary
 The EnglishOCR dataset contains images derived from regulatory documents from SEC EDGAR company filings. This dataset is used for benchmarkingg and evaluating Large Language Models ability on converting unstructured dcuments, such as pdfs and images, into machine readable format, particularly in finance domain, where the conversion task is more complex and valuable.
@@ -120,5 +123,4 @@ If you use this dataset, please cite:
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2506.14028}, 
-}
-```
+}