add Load the data

README.md

@@ -16,6 +16,33 @@ arxiv:
 M3KE, or Massive Multi-Level Multi-Subject Knowledge Evaluation, is a benchmark developed to assess the knowledge acquired by large Chinese language models by evaluating their multitask accuracy in both zero- and few-shot settings. The benchmark comprises 20,477 questions spanning 71 tasks. For further information about M3KE, please consult our [paper](https://arxiv.org/abs/2305.10263) or visit our [GitHub](https://github.com/tjunlp-lab/M3KE) page.
 
 
+## Load the data
+```python
+from datasets import load_dataset
+
+ds = load_dataset("TJUNLP/M3KE", "Computer Programming Language-Natural Sciences-Other")
+print(ds)
+"""
+DatasetDict({
+    test: Dataset({
+        features: ['id', 'question', 'A', 'B', 'C', 'D', 'answer'],
+        num_rows: 236
+    })
+    dev: Dataset({
+        features: ['id', 'question', 'A', 'B', 'C', 'D', 'answer'],
+        num_rows: 5
+    })
+})
+"""
+
+print(ds["test"][0])
+"""
+{'id': 0, 'question': '下面判断正确的是？', 'A': 'char str[10]={"china"}; 等价于 char str[10];str[]="china";', 'B': 'char *s="china"; 等价于 char *s;s="china"; ', 'C': 'char *a="china"; 等价于 char *a;*a="china";', 'D': 'char c[6]="china",d[6]="china"; 等 价 于 char c[6]=d[6]="china"; ', 'answer': ''}
+"""
+
+```
+
+
 ```
 @misc{liu2023m3ke,
     title={M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models},