Update README.md

README.md

@@ -22,3 +22,30 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# RuSciBenchZhoMultilabelClassification
+
+The **RuSciBenchZhoMultilabelClassification** task addresses the assignment of multiple semantic categories to a single scientific article, reflecting the interdisciplinary nature of modern research. The dataset used for this benchmark was collected from **sciencechina.cn**, where articles are indexed with titles, abstracts, and typically multiple thematic labels.
+
+Originally, the metadata comprised 90 unique labels. To organize these into coherent groups, we utilized **DeepSeek v3.1** for clustering, followed by a **manual validation** step. Labels that were semantically distant from the main groups were aggregated into an "Other" category.
+
+For the final dataset, we **excluded the "Other" category** and specifically selected articles associated with multiple high-level classes. The data was subsequently split into training and test sets for evaluation.
+
+## How to evaluate on this task
+
+First, install MTEB version with this task:
+
+```bash
+pip install git+https://github.com/mlsa-iai-msu-lab/ru_sci_bench_mteb.git@ruscibench
+```
+
+Then run code evaluate a model on this task:
+
+```python
+import mteb
+from sentence_transformers import SentenceTransformer
+model_name = "sentence-transformers/all-MiniLM-L6-v2"
+model = mteb.get_model(model_name)
+tasks = mteb.get_tasks(tasks=["RuSciBenchZhoMultilabelClassification"])
+results = mteb.evaluate(model, tasks=tasks)
+```