Politeness Strategies in Movie Dialogue from 'Every Waking Breath

A dataset supporting a 2022 article by Aspitasari, F; Budiarsa, I.M; Rajeg, G.P.W. It contains annotations of positive and negative politeness strategies used by characters in the movie 'Every Waking Breath'. The data is hosted on figshare under an Open Access license.

Use Cases

• Train models to classify politeness strategies based on annotated movie dialogue.
• Analyze the distribution of positive versus negative politeness strategies in cinematic speech.
• Study character interactions and social dynamics through the lens of politeness theory.
• Benchmark computational linguistics tools for pragmatic feature extraction from text.

Strengths

• Data is directly linked to a specific, citable 2022 research article.
• The dataset has a persistent DOI (10.6084/m9.figshare.19501274) for stable reference.
• It is released under an Open Access (green) license, facilitating reuse.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality and annotation schema require manual inspection.

Provenance

Source

figshare, via paperswithcode

Collection Method

Likely contains manual annotation of movie dialogue for politeness strategies.