artificial intelligence; machine learning; natural language processing; named entity recognition; relation extraction; text entailment
Dataset for "SynEL: A Synthetic Benchmark for Entity Linking" paper. The dataset integrates structured information from two primary sources: DBpedia for English, representing a high-resource language environment, and the Russian Public Company Register, a challenging low-resource dataset. Each dataset includes extensive annotations and structured entity links, ensuring high relevance for real-world applications in diverse industries.
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NCBI: The NCBI dataset is a biomedical corpus containing 793 PubMed abstracts, each manually annotated to include disease mentions and their corresponding concepts, providing a high-quality gold standard for disease name recognition and normalization research.
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