中文简称数据集
A dataset for Chinese abbreviation prediction, including negative full forms, released for academic research in NLP.
Score
30
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Aug 04, 2026
Overview
What is 中文简称数据集?
This is a corpus of Chinese abbreviations, designed for general abbreviation prediction tasks. It includes full forms with their abbreviations and negative full forms (expressions without valid abbreviations), annotated with part-of-speech tags to support natural language processing research.
What is 中文简称数据集 used for?
Top Features
- Includes negative full forms
- Part-of-speech tagged annotations
- Preprocessed for abbreviation prediction
- Open-source and freely available
How to use 中文简称数据集?
Download the dataset files (train_set.txt, dev_set.txt, test_set.txt) from the GitHub repository. Use it for training and evaluating models in abbreviation prediction, preprocessing as needed based on the annotation format described in the README.
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Pros & Cons
Pros
- Supports research in Chinese NLP
- Includes rare negative full forms
- Well-documented annotation format
- Free to use and modify
Cons
- Limited to Chinese language
- No active updates since 2017
- Requires preprocessing for some tasks
Use Cases
- Academic research in abbreviation prediction
- NLP model training for Chinese text
- Linguistic analysis of Chinese abbreviations
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