CLUES (Classifier Learning Using natural language ExplanationS)
Introduced by Menon et al. in CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
CLUES is a benchmark for Classifier Learning Using natural language ExplanationS, consisting of a range of classification tasks over structured data along with natural language supervision in the form of explanations. CLUES consists of 36 real-world (CLUES-Real) and 144 synthetic (CLUES-Synthetic) classification tasks. It contains crowdsourced explanations describing real-world tasks from multiple teachers and programmatically generated explanations for the synthetic tasks.
The dataset has been created by a team of NLP researchers at UNC Chapel Hill.
Description from: CLUES
Papers
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