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Text · dataset · 2022

inverse-scaling/hindsight-neglect-10shot

Listed in Hugging Face Datasets

Description

inverse-scaling/hindsight-neglect-10shot (‘The Floating Droid’) General description This task tests whether language models are able to assess whether a bet was worth taking based on its expected value. The author provides few shot examples in which the model predicts whether a bet is worthwhile by correctly answering yes or no when the expected value of the bet is positive (where the model should respond that ‘yes’, taking the bet is the right decision) or negative (‘no’… See the full description on the dataset page: huggingface.co/datasets/inverse-scaling/hindsight-neglect-10shot.

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Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsinverse-scaling/hindsight-neglect-10shot10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:multiple-choicesource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:zero-shot-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
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0