GloVe-25-angular

The 'GloVe-25-angular' dataset is a benchmark used to evaluate approximate nearest-neighbor search algorithms, specifically focusing on the performance of these algorithms in retrieving high-dimensional vector representations derived from the GloVe model.

Papers using GloVe-25-angular (1)

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search2025