Update README.md

README.md

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 # Dataset Card for "MM-IQ"
 
-- [Dataset Description](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#dataset-description)
+- [Introduction](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#dataset-description)
 - [Paper Information](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#paper-information)
 - [Dataset Examples](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#dataset-examples)
 - [Leaderboard](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#leaderboard)
@@ -47,7 +47,7 @@ configs:
   - [Automatic Evaluation](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#automatic-evaluation)
 - [Citation](https://huggingface.co/datasets/huanqia/MM-IQ/blob/main/README.md#citation)
 
-## Dataset Description
+## Introduction
 
 IQ testing has served as a foundational methodology for evaluating human cognitive capabilities, deliberately decoupling assessment from linguistic background, language proficiency, or domain-specific knowledge to isolate core competencies in abstraction and reasoning. Yet, artificial intelligence research currently lacks systematic benchmarks to quantify these critical cognitive dimensions in multimodal systems. To address this critical gap, we propose **MM-IQ**, a comprehensive evaluation framework comprising **2,710** meticulously curated test items spanning **8** distinct reasoning paradigms.