docs(readme): refactor

README.md

@@ -41,8 +41,101 @@ Github Repo: https://github.com/TreeAI-Lab/NumericBench
 
 ### Loading Data
 
+``` python
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+dataset_name_list = ['arithmetic_operation/context_arithmetic_operation.json', 'arithmetic_operation/arithmetic_operation.json',
+            'mixed_number_sting/mixed_number_string_500_per_sample.json', 
+            'num_list/num_list_500_per_sample_1000_length.json', 'num_list/num_list_500_per_sample_100_length.json', 
+            'sequence/sequence_500_sample_100_length.json', 
+            'stock/single-turn/stock_500_per_sample_150_length.json', 'stock/single-turn/stock_500_per_sample_300_length.json', 'stock/multi-turn/stock_multi_turn_100_per_sample_100_length.json',
+            'weather/single-turn/weather_500_per_sample_200_length.json', 'weather/single-turn/weather_500_per_sample_400_length.json', 'weather/multi-turn/weather_multi_turn_100_per_sample_100_length.json'
+            ]
+
+REPO_ID = "TreeAILab/NumericBench"
+
+for dataset_name in dataset_name_list:
+    dataset = pd.read_json(
+        hf_hub_download(repo_id=REPO_ID, filename=dataset_name, repo_type="dataset")
+    )
+```
+
+Alternatively, you can download the dataset from [this link](https://zenodo.org/records/14875784?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjZhYjZlYzYwLWZkMTgtNGU1Ni1iM2I2LWUwNWVlMGIwZmYwZCIsImRhdGEiOnt9LCJyYW5kb20iOiIwNzQxNmU0NWY5ZDkxMzQ4ODVmYjdlZDgyOGJmNjVhYSJ9.m-_8Owb3TohJ76cGt2Mu4wrpsxMgC4E_aJG7Q07KHOTlKaxB4kipMY3eBZPaQEIkOv_iJEkRmlvZr23rLkTMBw).
+
 ### Data Format
 
+Due to the excessive length of the content, "..." is used to indicate omission.
+
+##### single-turn
+
+``` json
+{
+    "system_prompt": "...",
+    "system_prompt_cot": "...",
+    "description": "...",
+    "data": [
+        {
+            "idx": 0,
+            "question_index": 0,
+            "question": "What is the result of A + B? Please round the answer to two decimal places. ",
+            "struct_data": "{'A': 6.755, 'B': -1.225}",
+            "answer": 5.53,
+            "ability": "1-digit integer with 3 decimal places"
+        },
+                {
+            "idx": 1,
+            "question_index": 1,
+            "question": "What is the result of A - B? Please round the answer to two decimal places. ",
+            "struct_data": "{'A': 6.755, 'B': -1.225}",
+            "answer": 7.98,
+            "ability": "1-digit integer with 3 decimal places"
+        }
+    ]
+}
+```
+
+##### multi-turn
+
+``` json
+{
+    "system_prompt": "...",
+    "system_prompt_cot": "...",
+    "description": "...",
+    "data": [
+        {
+            "idx": 0,
+            "multi_turn_QA": [
+                {
+                    "turn_index": 0,
+                    "question_index": 6,
+                    "struct_data": "...",
+                    "question": "...",
+                    "answer": "F",
+                    "ability": "contextual retrieval"
+                },
+                {
+                    "turn_index": 1,
+                    "question_index": 6,
+                    "struct_data": "...",
+                    "question": "...",
+                    "answer": "B",
+                    "ability": "contextual retrieval"
+                },
+                {
+                    "turn_index": 2,
+                    "question_index": 6,
+                    "struct_data": "...",
+                    "question": "...",
+                    "answer": "A",
+                    "ability": "contextual retrieval"
+                }
+            ]
+        }
+    ]
+}
+```
+
 ### Evaluation
 
 # Dataset statistics