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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.

sourceHugging Faceupdated 2mo agoView on Hugging Face
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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 Informal and Formal columns 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