---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2944935
    num_examples: 124
  download_size: 1449435
  dataset_size: 2944935
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- text-generation
language:
- zh
tags:
- Teaching Quality Assessment
- Undergraduate Program Standards
- Higher Education Quality Benchmark
- Academic Excellence Criteria
pretty_name: National Standard for Assessing the Quality of Teaching in Undergraduate
  Programs Offered by Regular Higher Education Institutions (“the Standard”)
size_categories:
- n<1K
---


# National Standard for Assessing the Quality of Teaching in Undergraduate Programs Offered by Regular Higher Education Institutions (“the Standard”)

## Dataset Summary

The dataset is a collection of documents related to the standards for assessing the quality of teaching in undergraduate programs offered by regular higher education institutions in China. It is designed for use in text generation tasks and provides insights into teaching quality assessment, program standards, higher education quality benchmarks, and criteria for academic excellence.

## Supported Tasks and Leaderboards

- **Task Category**: Text Generation
  - The dataset can be used to generate educational content, evaluate teaching methodologies, or develop AI models for assessing academic standards based on the text.

## Languages

The primary language of the dataset is Chinese (zh).

## Dataset Structure

The dataset consists of a single configuration as follows:

### Config: Default

#### Data Files

- **Split**: Train
  - **Path**: `data/train-*`
  - **Number of examples**: 124
  - **Size**: 2,969,183 bytes (approximately 2.97 MB)

#### Features

- **text**: A string that contains text data related to the quality assessment standards.

## Dataset Details

### Number of Examples

- **Train Split**: 124 examples

### Dataset Size

- **Download Size**: 1,460,493 bytes (approximately 1.46 MB)
- **Dataset Size**: 2,969,183 bytes (approximately 2.97 MB)

### Licensing

The dataset is licensed under the MIT License, allowing for flexible use with minimal restrictions.

### Tags

- Teaching Quality Assessment
- Undergraduate Program Standards
- Higher Education Quality Benchmark
- Academic Excellence Criteria

### Pretty Name

National Standard for Assessing the Quality of Teaching in Undergraduate Programs Offered by Regular Higher Education Institutions (“the Standard”)

### Size Categories

- Between 124  examples (n<1K)

## Dataset Creation

The dataset was compiled to provide comprehensive coverage of the standards used in assessing teaching quality across higher education institutions in China, aiming to serve educational and research purposes in understanding and enhancing academic excellence.

## Citation

For citations in publications or research, please refer to this dataset using the following format:

```
@misc {xuehangcang_2025,
	author       = { {XuehangCang} },
	title        = { NSAQTUP2018 (Revision b9cc366) },
	year         = 2025,
	url          = { https://huggingface.co./datasets/XuehangCang/NSAQTUP2018 },
	doi          = { 10.57967/hf/4226 },
	publisher    = { Hugging Face }
}
```

## Usage

The dataset can be utilized for developing models that generate educational content, analyze teaching quality, and create benchmarks for academic excellence in undergraduate programs. Researchers and educators can also use it as a reference for developing and refining their teaching strategies and program assessments.