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… See the full description on the dataset page:
https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench_zho_multilabel.
