Improve dataset card: update task category, add project page, and sample usage

README.md

@@ -1,13 +1,41 @@
 ---
 license: apache-2.0
 task_categories:
-- question-answering
+- text-ranking
 tags:
 - math
 - formalization
 - lean
+library_name: datasets
 ---
 
-This dataset is used in the paper [Assisting Mathematical Formalization with A Learning-based Premise Retriever](https://huggingface.co/papers/2501.13959).  It contains data for training and evaluating a premise retriever for the Lean theorem prover.
+# Premise Retrieval Dataset for Mathematical Formalization
 
-The dataset is described in detail in the [GitHub repository](https://github.com/ruc-ai4math/Premise-Retrieval).  It consists of proof states and corresponding premises from the Mathlib library.  The data is designed to train a model to effectively retrieve relevant premises for a given proof state, assisting users in the mathematical formalization process.  The dataset is available for download at [this link](https://huggingface.co/datasets/ruc-ai4math/mathlib_handler_benchmark_410).
+This dataset is used in the paper [Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization](https://huggingface.co/papers/2501.13959). It contains data for training and evaluating a lightweight and effective premise retrieval model for the Lean theorem prover.
+
+## About the Dataset
+
+The dataset consists of proof states (acting as queries) and corresponding premises extracted from the Mathlib library. It is designed to facilitate the training of models using a contrastive learning framework to embed queries and premises in a latent space. This process aims to enhance retrieval performance through fine-grained similarity calculation and a re-ranking module, ultimately assisting users in the mathematical formalization process.
+
+## Links
+
+*   **Paper:** [Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization](https://huggingface.co/papers/2501.13959)
+*   **Project Page:** https://premise-search.com/
+*   **Code:** The source code and trained models can be found on the [GitHub repository](https://github.com/ruc-ai4math/Premise-Retrieval).
+
+## Dataset Access
+
+This dataset is available for download at [this link](https://huggingface.co/datasets/ruc-ai4math/mathlib_handler_benchmark_410) on the Hugging Face Hub.
+
+## Sample Usage
+
+You can load the dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ruc-ai4math/mathlib_handler_benchmark_410")
+
+# To inspect the 'train' split
+print(dataset["train"][0])
+```