Update README.md

README.md

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 <!-- Provide a quick summary of the dataset. -->
 
-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).
+This dataset is designed for text summarization tasks, specifically focusing on financial and liquidity data. It combines structured text from different segments of financial reports, allowing for both automatic and human evaluation in text summarization 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). -->
 
 ## Dataset Details
 
+This dataset was built using the dataset presented in the research paper "**Long Text and Multi-Table Summarization: Dataset and Method**". The dataset consists of financial documents with detailed reports and their corresponding summaries, which aim to condense lengthy documents into shorter, coherent summaries.
+
+Paper Reference:
+[Long Text and Multi-Table Summarization: Dataset and Method](https://arxiv.org/abs/2302.03815)
+
 ### Dataset Description
 
+**Dataset Structure**
+
+The dataset is divided into:
+
+- Train: The primary dataset for model training.
+- Validation: Used for validation during training.
+- Test: Used for final evaluation of the summarization models.
+
+Each entry consists of:
+
+- text: The full input document, which is around 2500 words in length.
+- summary: A condensed version of the document, around 350 words long.
+