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Text · dataset · 2026

Decision Model Scenarios

Listed in Hugging Face Datasets

Description

Decision Model Scenarios 2000 synthetic English scenarios with 9716 typed questions and calibrated soft labels. It is the training data for mghafiri/qwen3.5-0.8B-decision-model, a small model that answers typed questions about a text "state" with probability distributions instead of generated text. Each scenario has three parts: a state: a message, a record, an email thread, a policy plus a ticket, a log, and so on 3–6 independent questions of three types: Choice: pick one… See the full description on the dataset page: huggingface.co/datasets/mghafiri/decision-model-scenarios.

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Stated by source
text · text classification
Inferred from text
Artificial intelligence 68% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmghafiri/decision-model-scenarios12 d agoJSON v1
FieldAssertionExtractorEvidence
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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[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:*]
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