Vocabulary Dataset for NLP

Data consists of 42,052 English words and their associated definitions. This collection of vocabulary, spanning common terms to more obscure terms, is suitable for Natural Language Processing (NLP) tasks, educational tools, and various applications related to language. Each word is accompanied by a detailed definition that clarifies its meaning and contextual usage.

The dataset contains 2 columns across 42,052 records:

The material is stored in a CSV file named dict.csv, which is 20.07 MB in size. The dataset includes 42,052 total words and 2 columns. Data quality is high, as both fields are 100% valid with no missing or mismatched records. The expected update frequency is Never.

This resource is well-suited for a range of use cases. It supports academic research on word usage, trends, and lexical semantics. It can be used to develop applications or tools aimed at enhancing vocabulary acquisition for language learners. The data is highly relevant for Natural Language Processing (NLP) tasks, such as word embeddings, definition generation, and contextual learning. Additionally, it can serve as a foundational resource for building dictionary or thesaurus applications.

The scope covers 42,052 English words and their corresponding definitions. The focus is purely on lexical content for the English language, including both rare and frequently used terms.

CC BY-SA 4.0

The dataset is intended for researchers, developers working on Natural Language Processing (NLP) models, and educators creating vocabulary-building tools. It is suitable for those performing lexical studies or developing dictionary and thesaurus applications. The material holds a maximum usability rating of 10.00.

Original Data Source: Vocabulary Dataset for NLP