# C-Eval

- Category: Detection & evals
- Official site: https://cevalbenchmark.com/index_zh.html
- HTML: https://www.88z.ai/en/tools/c-eval
- Markdown: https://www.88z.ai/en/tools/c-eval.md

A comprehensive multi-disciplinary evaluation benchmark for LLMs in Chinese cont

## What is C-Eval?

C-Eval is a comprehensive evaluation suite for Chinese foundation models, designed to measure the knowledge breadth and reasoning capabilities of large language models within Chinese contexts.The benchmark covers 52 distinct disciplines ranging from humanities to STEM (Science, Technology, Engineering, and Mathematics), providing a holistic capability profile through standardized testing.

As a specialized tool in detection and evaluation, C-Eval offers researchers and developers objective, quantitative metrics to compare how different models perform in Chinese comprehension, logical reasoning, and professional knowledge mastery.It aims to fill the gap in existing evaluation systems regarding deep Chinese knowledge assessment, driving the development of large models that better meet localized needs.

## Key features

- **Multi-disciplina**：Covers 52 subject areas including humanities, social sciences, STEM, and professional vocational exams to comprehensively test model knowledge reserves.
- **Chinese Context**：Specifically designed for Chinese language characteristics, focusing on evaluating model performance in Chinese comprehension, cultural background, and localized knowledge.
- **Tiered Difficult**：Questions are categorized into four difficulty levels: middle school, high school, university, and professional, allowing for detailed differentiation of model mastery across educational stages.
- **Standardized Eva**：Provides a unified testing framework and dataset to ensure fair and reproducible comparisons between different models.
- **Comprehensive Ca**：Tests not only memorized knowledge but also includes questions requiring logical reasoning and problem-solving skills to reflect the model's true intelligence level.

## How to use it

1. 1.Visit the official C-Eval website to obtain the latest datasets and evaluation codebase.
2. 2.Configure your local environment and install necessary dependencies according to the official documentation.
3. 3.Load the large language model to be evaluated and integrate it with the evaluation script in the specified format.
4. 4.Run the evaluation program, allowing the model to automatically complete test questions across 52 disciplines.
5. 5.Collect the output results, generate accuracy reports, and conduct multi-dimensional capability analysis.

## Where it fits

- **Model Developmen**：Development teams use C-Eval as a core benchmark when training new models to quantitatively compare improvements in Chinese capabilities against baseline models.
- **Academic Researc**：Researchers utilize this benchmark to deeply analyze knowledge gaps and reasoning flaws in large models within specific disciplines such as law, medicine, or history.
- **Industry Applica**：Enterprises reference C-Eval scores when selecting large model vendors for Chinese business scenarios to assess the reliability of professional knowledge.

## Pricing and free quota

Pricing and any free quota follow the official site.

## Who it is for

- Large Language Model Researchers
- AI Algorithm Engineers
- NLP Scholars
- Enterprise Technical Decision Makers

## FAQ

### What capabilities does C-Eval primarily evaluate?

It primarily evaluates the breadth and depth of knowledge, as well as logical reasoning capabilities of models in Chinese contexts, covering 52 disciplinary fields.

### How can I access the C-Eval dataset?

You can visit the official C-Eval website to find download links or GitHub repository addresses to obtain the data.

### How is C-Eval different from other benchmarks?

C-Eval focuses specifically on the Chinese context and features more detailed subject classifications, emphasizing tiered difficulty assessment from middle school to professional levels.

## Tags

Chinese Evaluation · LLM Benchmark

Features, pricing and availability follow the official site. Except for 88z.ai’s own API pages, this is a third-party product; 88z.ai only provides a directory introduction.