Update README.md

README.md

@@ -37,21 +37,66 @@ For 412 methods, they have been constructed with diverse dependencies, including
 
 ### Languages
 
-[More Information Needed]
+The programming language is Python. The natural language used in the comments and docstrings is English.
 
 ## Dataset Structure
 
+```python
+from datasets import load_dataset
+dataset = load_dataset("FudanSELab/ClassEval")
+
+DatasetDict({
+    test: Dataset({
+        features: ['task_id', 'skeleton', 'test', 'solution_code', 'import_statement', 'class_description', 'methods_info', 
+'class_name', 'test_classes', 'class_constructor', 'fields'],
+        num_rows: 100
+    })
+})
+```
+
 ### Data Instances
 
 [More Information Needed]
 
 ### Data Fields
 
-[More Information Needed]
+The specific data fields for each task are delineated as follows:
+
+* task_id: the unique identifier for each task.
+
+* skeleton: the class skeleton, including all input descriptions in our class-level coding tasks. 
+
+* test: all test cases for the whole class.
+
+* solution_code: the ground-truth class-level code for each task.
+
+More fine-grained class-level information from the class skeleton, including:
+
+* import_statement: the import statements for each task.
+
+* class_name: the name of the class.
+
+* class_description: a concise description of the purpose and functionality of the class.
+
+* class_constructor: the whole constructor of the class.
+
+* fields: the fields defined in the class_constructor.
+
+Detailed information for each method in the "methods_info" field, including:
+
+* method_name: the method signature.
+
+* method_input: the method contract design, including all input descriptions in the method.
+
+* test_code: the test cases for the method.
+
+* solution_code: the ground-truth method-level code.
+
+* dependencies: the dependency information of the method.
 
 ### Data Splits
 
-[More Information Needed]
+The dataset only consists of a test split with 100 samples.
 
 ## Dataset Creation
 
@@ -109,7 +154,16 @@ For 412 methods, they have been constructed with diverse dependencies, including
 
 ### Citation Information
 
-[More Information Needed]
+```
+@misc{du2023classeval,
+      title={ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation}, 
+      author={Xueying Du and Mingwei Liu and Kaixin Wang and Hanlin Wang and Junwei Liu and Yixuan Chen and Jiayi Feng and Chaofeng Sha and Xin Peng and Yiling Lou},
+      year={2023},
+      eprint={2308.01861},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
 
 ### Contributions