Juq150 New Patched Here

Current benchmarks often treat explanation as a secondary feature or rely on extractive methods (highlighting text spans) rather than abstractive justification. There is a lack of a dedicated, large-scale resource that pairs questions with free-text, human-curated justifications.

Data was collected via a two-stage crowdsourcing process using Amazon Mechanical Turk. juq150 new

Have you already used the JUQ150 new in a project? Share your experience in the comments below. For technical datasheets and firmware downloads, visit the official product page. Current benchmarks often treat explanation as a secondary

Datasets like SQuAD and Natural Questions focus on extractive QA. CoQA focuses on conversational history. While datasets like e-SNLI exist for natural language inference, a large-scale, general-domain QA dataset focusing on explicit justification remains scarce. juq150 new