This dataset is part of PatenTEB, a comprehensive benchmark for evaluating text embedding models on patent-specific tasks. PatenTEB comprises 15 tasks across retrieval, classification, paraphrase detection, and clustering, with 2.06 million examples designed to reflect real-world patent analysis workflows.
Paper: PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
Task Details… See the full description on the dataset page: https://huggingface.co/datasets/datalyes/effect2substance.
