▶️ Watch the Video A curated, multi-source dataset for research paper intent classification — 5-class taxonomy trained into Echo-DSRN-v0.1.3-Research-Intent-CLF. Each record pairs a paper's title and abstract with one of five research-intent labels, sourced from a tiered pipeline of gold, near-gold, and silver sources spanning PubMed, Semantic Scholar, Papers With Code, arXiv, and the OpenAIRE Graph.

	OpenAIRE AI Hackathon 2026… See the full description on the dataset page: https://huggingface.co/datasets/ethicalabs/Research-Intent-Curated.