Improve dataset card with description and paper link

This PR improves the dataset card by adding a more descriptive overview, linking to the associated paper (arXiv preprint), and adding relevant tags to better categorize the dataset.

README.md

@@ -1,22 +1,25 @@
 ---
 license: apache-2.0
+task_categories:
+- other
+tags:
+- topic-modeling
+- llm-evaluation
+- benchmark
+- legislation
+- wikipedia
 ---
 
-
 # Dataset Overview
 
-This repository contains benchmark datasets for LLM-based topic discovery and traditional topic models. Original [GitHub](https://github.com/ahoho/topics?tab=readme-ov-file#download-data)
+This repository contains benchmark datasets for evaluating Large Language Model (LLM)-based topic discovery methods and comparing them against traditional topic models.  These datasets provide a valuable resource for researchers studying topic modeling and LLM capabilities in this domain.  The work is described in the following paper: [Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs](https://arxiv.org/abs/2502.14748).  Original data source: [GitHub](https://github.com/ahoho/topics?tab=readme-ov-file#download-data)
 
 ## [Bills Dataset](https://huggingface.co/datasets/zli12321/Bills)
 
-The Bills Dataset is a collection of legislative documents with 32,661 bill summaries (train) from the 110th–114th U.S. Congresses, categorized into 21 top-level and 112 secondary-level topics.
-
-
-- **Train Split**: 32.7K summaries.
-- **Test Split**: 15.2K summaries.
+The Bills Dataset is a collection of legislative documents containing 32,661 bill summaries (train) from the 110th–114th U.S. Congresses, categorized into 21 top-level and 112 secondary-level topics.  A test split of 15.2K summaries is also included.
 
 ### Loading the Bills Dataset
-```
+```python
 from datasets import load_dataset
 
 # Load the train and test splits
@@ -26,14 +29,14 @@ test_dataset = load_dataset('zli12321/Bills', split='test')
 
 ## [Wiki Dataset](https://huggingface.co/datasets/zli12321/Wiki) 
 
-The Wiki dataset consists of 14,290 articles spanning 15 high-level and 45 mid-level topics, including widely recognized public topics such as music and anime. 
-
-- **Train Split**: 14.3K summaries.
-- **Test Split**: 8.02K summaries.
+The Wiki dataset consists of 14,290 articles spanning 15 high-level and 45 mid-level topics, including widely recognized public topics such as music and anime. A test split of 8.02K summaries is included.
 
 ## Synthetic Science Fiction (Pending internal clearance process)
 
-Please cite us if you find the data and the papers useful, and do not hesitate to create an issue or email us if you have problems!
+Please cite the relevant papers below if you find the data useful.  Do not hesitate to create an issue or email us if you have problems!
+
+
+**Citation:**
 
 If you find LLM-based topic generation has hallucination or instability, and coherence not applicable to LLM-based topic models:
 ```
@@ -104,4 +107,4 @@ If you evaluate ground-truth evaluations or stability:
     doi = "10.18653/v1/2022.findings-emnlp.390",
     pages = "5321--5344",
 }
-```
+```