Create README.md

README.md

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+## Dataset Summary
+
+**SID Classification** is a Persian (Farsi) dataset designed for the **Classification** task, specifically targeting **document classification** of academic articles. It is a component of the [FaMTEB (Farsi Massive Text Embedding Benchmark)](https://huggingface.co/spaces/mteb/leaderboard). The dataset was constructed by collecting academic texts from **SID (Scientific Information Database – sid.ir)**, one of Iran’s major platforms for scientific publications. Each document—formed by concatenating an article’s title and abstract—is labeled with one of 8 predefined scientific disciplines from the SID website.
+
+* **Language(s):** Persian (Farsi)  
+* **Task(s):** Classification (Document Classification, Topic Classification)  
+* **Source:** Collected from SID (sid.ir)  
+* **Part of FaMTEB:** Yes
+
+## Supported Tasks and Leaderboards
+
+This dataset is used to evaluate the performance of text embedding models on the **Classification** task—measuring their ability to assign academic documents to appropriate scientific categories. Results are benchmarked on the **Persian MTEB Leaderboard** on Hugging Face Spaces (filtered by language: Persian).
+
+## Construction
+
+The dataset was built by:
+
+- Crawling the **SID** academic repository (sid.ir)
+- Extracting the **title** and **abstract** of each academic article
+- Concatenating the title and abstract to form a single input text
+- Using the site's predefined 8-category taxonomy to assign a label to each document
+
+This dataset complements the [SID Clustering dataset](https://huggingface.co/datasets/MCINext/sid-clustering), sharing the same underlying texts but serving a **supervised** classification task.
+
+## Data Splits
+
+As reported in the *FaMTEB* paper (Table 5):
+
+* **Train:** 8,712 samples  
+* **Development (Dev):** 0 samples  
+* **Test:** 3,735 samples