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Text · dataset · 2023

Big Bench Hard

Listed in Hugging Face Datasets

BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks believed to be beyond the capabilities of current language models.

Description

Language models have already made good progress on this benchmark, with the best model in the BIG-Bench paper outperforming average reported human-rater results on 65% of the BIG-Bench tasks via few-shot prompting. But on what tasks do language models fall short of average human-rater performance, and are those tasks actually unsolvable by current language models?

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Catalogue records · 1

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Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmaveriq/bigbenchhard15 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:token-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
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publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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