<p>Standard type/token ratio.</p>

Jinhua Zhang's dataset analyzes linguistic complexity in English compositions from 66 students at an application-oriented university in China. The data, last updated in 2026, includes hierarchical analysis at lexical, syntactic, and textual levels. It is stored in an XLS file with a size of 5.5 KB.

Use Cases

• Analyzing lexical complexity development based on type-token ratios mentioned in the description.
• Investigating syntactic complexity indicators and their correlation with writing proficiency.
• Evaluating text coherence as a predictor of overall writing quality.
• Studying non-linear developmental patterns in second language writing competence.

Strengths

• Dataset is based on a specific empirical study of 66 student compositions.
• Analysis is structured hierarchically across three linguistic dimensions: lexis, syntax, and text.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Jinhua Zhang via figshare.

Collection Method

Analysis of student compositions.

Freshness

Last updated 2026-05-21 07:34:42; freshness should be verified.

Geography

Application-oriented universities in China.