Sample Datasets for Semi-Supervised Multi-Label Classification of Indonesian Financial Regulatory Texts

This record provides two small sample datasets prepared for a study currently under review on semi-supervised contrastive learning for multi-label classification of Indonesian financial regulatory texts. The documents are adapted from publicly available regulations issued by financial regulators in Indonesia. sample-data-labeled.csv: A limited set of documents annotated by domain experts with five regulatory categories (E-Money, Credit Card, Remittance, QRIS, and Payment Gateway). sample-data-unlabeled.csv: A corresponding set of documents without labels, intended for semi-supervised learning experiments. These datasets are illustrative samples only and not the full corpus. Since the work is not yet formally published, researchers interested in using or extending this dataset are kindly requested to contact the author before reuse or citation