Update README.md

README.md

@@ -11,5 +11,62 @@ tags:
   - math-word-problems
   - multiple-choice-qa
   - mathematical-reasoning
+modalities:
+  - text
 ---
 
+## Introduction
+MathMC is a Chinese mathematical reasoning dataset introduced in the paper **Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models.** 
+It contains **1,000 Chinese multiple-choice math problems**, each annotated with a **gold answer** and a **detailed rationale**.
+
+## Dataset Structure
+
+### Data Fields
+- `id`: unique identifier for each problem
+- `question`: the problem statement in Chinese
+- `options`: answer options for the multiple-choice question
+- `answer`: the correct option
+- `rationale`: detailed explanation for the answer
+
+### Example
+
+```json
+{
+  "id": "mathmc_0001",
+  "question": "在一组数中，最大的数是15，这组数的平均数不可能是（）。",
+  "options": {
+    "A": "7",
+    "B": "13",
+    "C": "27"
+  },
+  "answer": "C",
+  "rationale": "根据平均数的定义，平均数不会大于这组数中的最大值。由于最大值是15，因此27不可能是平均数。"
+}
+```
+
+### Dataset Statistics
+
+According to the paper, the question-type distribution of MathMC is:
+
+- Arithmetic: 619
+- Algebra: 113
+- Geometry: 227
+- Statistics: 27
+- Reasoning: 7
+- Others: 7
+
+Total: 1,000 questions.
+
+## Citation
+
+If you use this dataset, please cite the following paper:
+```
+@inproceedings{tan-etal-2025-teaching,
+  title = {Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models},
+  author = {Tan, Wenting and Chen, Dongxiao and Xue, Jieting and Wang, Zihao and Chen, Taijie},
+  booktitle = {Proceedings of the 31st International Conference on Computational Linguistics: Industry Track},
+  pages = {827--839},
+  year = {2025},
+  publisher = {Association for Computational Linguistics}
+}
+```