Flaglab/esnlir-al-trajectories

ESNLIR — active learning trajectories The complete round-by-round record of four active-learning runs on ESNLIR: which pool instances were acquired, which were discarded, and how validation performance moved after every acquisition. Active Learning for Spanish Natural Language Inference on a Heterogeneous Multi-Domain Corpus Diego Ortiz, Johan R. Portela, Ruben Manrique — Universidad de los Andes, Bogotá Advances in Artificial Intelligence — IBERAMIA 2026 (to appear) Code:… See the full description on the dataset page: https://huggingface.co/datasets/Flaglab/esnlir-al-trajectories.

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