Update README.md

README.md

@@ -1,49 +1,32 @@
----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: documents
-    list:
-    - name: docid
-      dtype: int64
-    - name: type
-      dtype: string
-    - name: content
-      dtype: string
-    - name: is_ground
-      dtype: bool
-    - name: citation_idx
-      dtype: string
-  - name: query
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: citation_ids
-    sequence: int64
-  - name: meta
-    struct:
-    - name: id
-      dtype: int64
-    - name: language
-      dtype: string
-    - name: difficulty_type
-      dtype: string
-    - name: reasoning_type
-      sequence: string
-  splits:
-  - name: non_refusal
-    num_bytes: 46091761
-    num_examples: 1232
-  - name: refusal
-    num_bytes: 36618006
-    num_examples: 1013
-  download_size: 40053550
-  dataset_size: 82709767
-configs:
-- config_name: default
-  data_files:
-  - split: non_refusal
-    path: data/non_refusal-*
-  - split: refusal
-    path: data/refusal-*
----
+# Dataset for CReSt
+This repository contains the dataset used in the paper "CReSt: A Comprehensive Benchmark for Retrieval-Augmented Generation with Complex Reasoning over Structured Documents".
+
+## 📂 Dataset Overview
+
+This dataset consists of the following two subsets:
+- refusal: The subset that contains only refusal cases
+- non_refusal: The subset that contains only non-refusal cases
+
+## 🚀 How to Use
+
+You can access detailed usage instructions in the [CReSt GitHub repository](https://github.com/UpstageAI/CReSt).  
+
+Simply clone the repository and follow the steps provided in the README there:
+```bash
+git clone https://github.com/UpstageAI/CReSt
+```
+
+# 📜 License
+This dataset is distributed under the CC-by-NC 4.0.
+
+# 📝 Citation
+If you use this dataset in your research, please cite:
+```css
+@inproceedings{khang2025crest,
+  title={CReSt: A Comprehensive Benchmark for Retrieval-Augmented Generation with Complex Reasoning over Structured Documents},
+  author={Khang, Minsoo and Park, Sangjun and Jung, Dawoon and Hong, Teakgyu},
+  booktitle={TBD},
+  pages={TBD},
+  year={2025}
+}
+```