Datasets › ParsiNLU
ParsiNLU
ParsiNLU is a comprehensive suite of high-level Natural Language Processing (NLP) tasks for the Persian language. It includes six key NLP tasks:
- Reading Comprehension
- Multiple-Choice Question-Answering
- Textual Entailment
- Sentiment Analysis
- Query Paraphrasing
- Machine Translation
These tasks are collected by expert annotators who are native to the Persian language and from various sources. The dataset includes over 14.5k new instances across these six distinct NLP tasks. The ParsiNLU dataset is the first benchmark in the Persian language that includes a range of high-level tasks.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 12 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ParsiNLU
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections