Nava Rasa Myanmar Corpus: Burmese Text Classification by Literary Aesthetics

The Nava-Rasa Myanmar Corpus is a structurally curated, single-label text classification dataset for the Myanmar (Burmese) language. It frames sentiment analysis through the Navarasa (The Nine Literary Aesthetics/Emotions) based on classical Indian poetics and Burmese literary theory. The dataset was created by DatarrX and was last updated on Hugging Face in May 2026.

Use Cases

• Train sentiment classifiers based on the Navarasa (Nine Literary Aesthetics) framework.
• Benchmark NLP models for Burmese language understanding tasks.
• Analyze literary or textual emotional content based on classical poetics theory.

Strengths

• The dataset is described as 'structurally curated' for text classification.
• It is built upon a foundation of classical Indian poetics (Alanka) and Burmese literary theory, providing a unique conceptual framework.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026-05-31).

Provenance

Source

DatarrX on Hugging Face

Freshness

Last updated 2026-05-31 14:57:22

Geography

Myanmar (Burmese language)