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Linguistic Articulation Dataset
Data Science and Analytics
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About
This dataset comprises tongue twisters presented in English, primarily gathered through web scraping. It contains approximately 600 single or multi-sentence tongue twisters, making it a relatively small collection. The primary purpose behind this dataset is to facilitate the training of Machine Learning models. These models are intended to develop the capability to identify, differentiate, and generate tongue twisters in a manner similar to human ability, acknowledging their significance in linguistics.
Columns
- Indices: This column likely provides a numerical identifier for each entry or row within the dataset.
- Sentences: This column contains the actual tongue twister texts, which can be single or multiple sentences long.
- Label Count: This column appears to denote a count associated with the sentences, possibly indicating the number of words or a similar metric within each tongue twister entry.
Distribution
The dataset is provided in CSV format. It contains 604 unique sentence entries, corresponding to the approximately 600 single or multi-sentence tongue twisters mentioned. While specific file size information is not detailed, it is described as a small dataset.
Usage
This dataset is ideally suited for Machine Learning research and development. Key applications include:
- Training Natural Language Processing (NLP) models to recognise linguistic patterns characteristic of tongue twisters.
- Developing AI systems capable of generating new, grammatically correct, and challenging tongue twisters.
- Facilitating studies in computational linguistics focused on phonetics, phonology, and speech challenges.
Coverage
The dataset's content is exclusively in English. Its regional availability is global. There are no specific notes on demographic scope, as the data focuses on linguistic constructs rather than human attributes. It was listed on 17 June 2025.
License
CC BY-SA
Who Can Use It
This dataset is highly beneficial for:
- Machine Learning Engineers and Data Scientists: For developing and testing NLP models related to speech, language generation, and linguistic pattern recognition.
- Linguists and Researchers: To study the phonetic and phonological challenges inherent in tongue twisters and their role in language.
- Educators and Developers: For creating interactive language learning tools or educational applications focused on pronunciation and articulation.
Dataset Name Suggestions
- English Tongue Twisters Corpus
- Linguistic Articulation Dataset
- ML Tongue Twister Collection
- Web Scraped Tongue Twisters
- English Pronunciation Challenge Data
Attributes
Original Data Source: Tongue Twister Dataset
QUALITY