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Text · dataset · 2024

MadeAgents/xlam-irrelevance-7.5k

Listed in Hugging Face Datasets

Description

xlam-irrelevance-7.5k Overview The xlam-irrelevance-7.5k is a specialized dataset designed to activate the ability of irrelevant function detection for large language models (LLMs). Source and Construction This dataset is built upon xlam-function-calling-60k dataset, from which we random sampled 7.5k instances, removed the ground truth function from the provided tool list, and relabel them as irrelevant. For more details, please refer to Hammer: Robust… See the full description on the dataset page: huggingface.co/datasets/MadeAgents/xlam-irrelevance-7.5k.

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMadeAgents/xlam-irrelevance-7.5k15 d agoJSON v1
FieldAssertionExtractorEvidence
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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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