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# 🧠 PerCQA: A Persian Community Question Answering Dataset
**PerCQA** is the first large-scale dataset for Community Question Answering (CQA) in the Persian language. It was created to support research in question retrieval, answer selection, and overall QA system development for low-resource languages, particularly Persian.
This dataset was introduced in the paper:
> Naghmeh Jamali, Yadollah Yaghoobzadeh, and Heshaam Faili. (2022). [**PerCQA: A Persian Community Question Answering Dataset**](https://aclanthology.org/2022.lrec-1.654/). In *Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022)*.
---
## 📦 Dataset Structure
Each question thread in PerCQA includes:
- A **question** post
- A list of **answers** (comments)
- Annotations indicating the **quality** of each answer (Good / Bad)
### Data Fields
| Field | Description |
|--------------|-----------------------------------------------|
| `qid` | Unique ID of the question |
| `question` | The text of the original question |
| `answers` | A list of answer texts |
| `labels` | Corresponding quality labels for each answer |
---
## 📊 Statistics
- **Number of questions**: 989
- **Total answer instances**: 21,915
- **Language**: Persian (Farsi)
- **Annotation**: Manual, using quality standards adapted from SemEval CQA tasks
---
## 🔍 Intended Use
PerCQA is useful for tasks including:
- Answer selection and ranking
- Question classification
- Multilingual and cross-lingual QA research
- Low-resource NLP
---
## 💬 Languages
- **Primary**: Persian (Farsi)
- The dataset includes questions and answers written in colloquial Persian, often with informal expressions typical of online communities.
---
## 📚 Citation
Please cite the following paper if you use this dataset:
```bibtex
@inproceedings{jamali-etal-2022-percqa,
title = "{P}er{CQA}: {P}ersian Community Question Answering Dataset",
author = "Jamali, Naghme and
Yaghoobzadeh, Yadollah and
Faili, Heshaam",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.654/",
pages = "6083--6092"}
} |