Duplicate from MCINext/PerCoR

Co-authored-by: Mehran Sarmadi <mehran-sarmadi@users.noreply.huggingface.co>

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README.md

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+---
+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).*

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