Examples of good data quality in AI and LLMs

In this section, we will give examples and characteristics of good and bad data quality in AI and LLM usage. We will clarify them within various areas, such as Natural Language Processing (NLP), computer vision, and so on.

NLP

In the field of NLP, the quality of datasets significantly affects the performance and reliability of models designed to understand and generate human language.

Here are examples of both high-quality and low-quality datasets in NLP, along with their influences on AI applications.

High-quality dataset examples in NLP

First, let us see a few high-quality dataset examples.

Stanford Natural Language Inference (SNLI) corpus

The SNLI dataset (https://nlp.stanford.edu/projects/snli/) comprises 570,000 human-written English sentence pairs, each manually labeled for balanced classification into one of three categories: entailment, contradiction, or neutral. This dataset is used to support tasks in Natural...