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Data · dataset · 2022

chenz16/curriculum_benchmark

Listed in Hugging Face Datasets

We introduce Curriculum as a new format of NLI benchmark for evaluation of broad-coverage linguistic phenomena.

Description

Curriculum contains a collection of datasets that covers 36 types of major linguistic phenomena and an evaluation procedure for diagnosing how well a language model captures reasoning skills for distinct types of linguistic phenomena. We show that this linguistic-phenomena-driven benchmark can serve as an effective tool for diagnosing model behavior and verifying model learning quality.

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Catalogue records · 1

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Inferred from text
Natural language processing 78%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetschenz16/curriculum_benchmark14 d agoJSON v1
FieldAssertionExtractorEvidence
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created_datesource · Hugging Faceconnector:huggingface@1.0.0
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