shekar-ai/SynPerForm-synthetic-persian-formality-pairs
SynPerForm SynPerForm is a paired Persian dataset for formality style transfer. Each informal text is paired with a freely written formal rewrite that preserves its meaning without requiring lexical or structural equivalence. The formal rewrites were generated with OpenAI GPT-5.6 Luna. Columns Informal: the original informal Persian text. Formal: a free formal rewrite that preserves the original meaning. Intended uses Formality style transfer:… See the full description on the dataset page: https://huggingface.co/datasets/shekar-ai/SynPerForm-synthetic-persian-formality-pairs.
SynPerForm
SynPerForm is a paired Persian dataset for formality style transfer. Each informal text is paired with a freely written formal rewrite that preserves its meaning without requiring lexical or structural equivalence. The formal rewrites were generated with OpenAI GPT-5.6 Luna.
Columns
Informal: the original informal Persian text.Formal: a free formal rewrite that preserves the original meaning.
Intended uses
- Formality style transfer: train or evaluate systems that freely rewrite informal Persian in a formal style while preserving meaning.
- Text classification: use texts from the
InformalandFormalcolumns as examples of informal and formal language, respectively. - Representation learning: learn Persian representations from semantically aligned pairs that express similar meanings in different formality styles.
Splits
- Train: 241,692 rows
- Validation: 7,500 rows
- Test: 7,500 rows
