Update README.md

README.md

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 # Dataset Card for TABME++
 
-<!-- Provide a quick summary of the dataset. -->
+The TABME dataset is a synthetic collection of business document folders generated from the Truth Tobacco Industry Documents archive, with preprocessing and OCR results included, designed to simulate real-world digitization tasks.
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+TABME++ extends TABME by enriching it with commercial-quality OCR (Microsoft OCR).
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
+The TABME dataset is a synthetic collection created to simulate the digitization of business documents, derived from a portion of the Truth Tobacco Industry Documents (TTID) archive. The dataset was constructed by sampling 44,769 PDF documents, excluding corrupted files and those longer than 20 pages, and then preprocessing them by cropping margins, converting them to grayscale, and resizing to 1,000 pixels. To mimic real-world scenarios, folders of documents were generated using a Poisson distribution with 𝜆 = 11, leading to a mean folder length of around 30 pages. The dataset was split into training, validation, and test sets, with OCR preprocessing performed using the Tesseract engine. The dataset includes 100,000 folders for training, 5,000 for validation, and 5,000 for testing, and the results include recognized words, their coordinates, and confidence levels.
+
+TABME++ replaces the previous OCR with commericial-quality OCR obtained through Microsoft's OCR services.
 
 - **Curated by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]