Update README.md

README.md

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+# Dataset Card for MMTU
+
+## Dataset Summary
+
+<!-- add link -->
+MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark 
+by Junjie Xing, [Yeye He](https://www.microsoft.com/en-us/research/people/yeyehe/), Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, [Surajit Chaudhuri](https://www.microsoft.com/en-us/research/people/surajitc/), and [H. V. Jagadish](https://web.eecs.umich.edu/~jag/).
+
+This is a large-scale benchmark designed to evaluate the table reasoning capabilities of large language models (LLMs). It consists of over 30,000 questions across 25 real-world table tasks, focusing on deep understanding, reasoning, and manipulation of tabular data.
+
+These tasks are curated from decades of computer science research and represent challenges encountered by expert users in real applications, making MMTU a rigorous test for LLMs aspiring to professional-level table understanding.
+
+A complete list of tasks: 'table-transform-by-relationalization', 'table-transform-by-output-schema', 'table-transform-by-output-table', 'Entity matching', 'Schema matching', 'Head value matching', 'data-imputation', 'error-detection', 'list-to-table', 'semantic-join', 'equi-join-detect', 'program-transform-by-example', 'formula-by-context', 'semantic-transform-by-example', 'arithmetic-relationship', 'functional-relationship', 'string-relationship', 'Needle-in-a-haystack-table', 'Needle-in-a-haystack-index', 'NL-2-SQL', 'Table Question Answering', 'Fact Verification', 'Column type annotation', 'Column property annotation', 'Cell entity annotation'.
+
+## Leaderboards
+
+| **Model Type** | **Model**           | **MMTU Score**     | 
+|----------------|---------------------|----------------------|
+| Reasoning      | o4-mini             | **0.637 ± 0.01**     |
+| Reasoning      | Deepseek-R1         | 0.557 ± 0.01         |
+| Chat           | Deepseek-V3         | 0.517 ± 0.01         |
+| Chat           | GPT-4o              | 0.490 ± 0.01         |
+| Chat           | Llama-3.3-70B       | 0.438 ± 0.01         |
+| Chat           | Mistral-Large       | 0.430 ± 0.01         |
+| Chat           | Mistral-Small       | 0.402 ± 0.01         |
+| Chat           | GPT-4o-mini         | 0.386 ± 0.01         |
+| Chat           | Llama-3.1-8B        | 0.259 ± 0.01         |
+
+## Language
+
+English
+
+## Data Structure
+
+### Data Fields
+
+- prompt: The prompt presented in the MMTU instance.
+- metadata: Supplementary information associated with the MMTU instance, typically used for evaluation purposes.
+- task: The specific subtask category within the MMTU framework to which the instance belongs.
+- dataset: The original source dataset from which the MMTU instance is derived.
+
+
+## Dataset Creation
+
+Please refer to Section 3.2 in the paper. <!-- add link -->
+
+