TRec

The Text REtrieval Conference (TREC) Question Classification dataset contains 5500 labeled questions in training set and another 500 for test set. The dataset has 6 coarse class labels and 50 fine class labels. Average length of each sentence is 10, vocabulary size of 8700. Data are collected from four sources: 4,500 E

Papers using TRec (3)

LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems2026Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation2025Contextualizing Search Queries In-Context Learning for Conversational Rewriting with LLMs2025