# Introduction

**MatchBench** is a data integration ecosystem of libraries, which includes three main modules: Dataset interface, Integration algorithm, and Training/Evaluating module.

The library includes 20 data integration algorithms, covering four major categories:([Details](https://github.com/ruc-datalab/MatchBench#model)).

Entity Resolution(ER)
Entity Alignment(EA)
Column Type Annotation(CTA)
Schema Matching(SM)

We provide the support of 52 benchmark data integration datasets, 23 benchmarks for ER task, 20 benchmarks for EA task, 5 benchmarks for CTA task and 4 benchmarks for SM task ([Details](https://github.com/ruc-datalab/MatchBench#datasets)).

You can view MatchBench's source code at [MatchBench Repository](https://github.com/ruc-datalab/MatchBench).

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