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Table · dataset · 2026

Agent Tool Decisions 180K

Listed in Hugging Face Datasets

Agent Tool Decisions 180K 180,000 typed decisions that sit behind every agent step.

Description

Should the agent call a tool, or answer in text? Which tool?

Are the arguments complete? Which tool-using response is better? An agent spends most of its time making these small decisions, and a frontier LLM is an expensive way to make them.

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They are typed: a question, a fixed set of choices, one correct answer. That makes them a good fit for small, fast decision models (encoders, classifiers… See the full description on the dataset page: huggingface.co/datasets/MaziyarPanahi/AgentToolDecisions-180K.

Links

Topics

Stated by source
tabular · text · text classification · text ranking
Inferred from text
Text 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMaziyarPanahi/AgentToolDecisions-180K7 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:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-rankingsource · 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
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0