|
|
--- |
|
|
license: apache-2.0 |
|
|
task_categories: |
|
|
- question-answering |
|
|
- text-classification |
|
|
language: |
|
|
- fa |
|
|
size_categories: |
|
|
- 10K<n<100K |
|
|
--- |
|
|
# 📘 PerCoR: Persian Commonsense Reasoning (Multiple-Choice Sentence Completion) |
|
|
|
|
|
**PerCoR** is a large-scale Persian benchmark for **commonsense reasoning** in a **4-choice sentence-completion** format. |
|
|
It contains **~106K** examples from **40+** Persian websites across news, culture, lifestyle, tech, religion, travel, and more. |
|
|
Each instance provides a **prefix** (context) and **four candidate completions** — one correct and three distractors. |
|
|
|
|
|
--- |
|
|
|
|
|
## 📦 What’s inside |
|
|
|
|
|
- 🧮 **Total size:** ~106K multiple-choice instances |
|
|
- 📊 **Splits:** `train` 86,217 • `validation` 10,000 • `test` 10,000 |
|
|
- 🧱 **Format:** single passage/prefix + 4 completions (A–D / 0–3) with one correct answer |
|
|
- 🧠 **Human accuracy:** ~89% on a random subset |
|
|
|
|
|
> 💡 *The dataset is designed to be difficult for LLMs while remaining answerable by humans; no LLM text is used to generate distractors (reducing generation-style biases).* |
