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LFM-v2-Distilled-15K

Listed in Hugging Face Datasets

🌌 LFM-v2-Distilled-15K Dataset

Description

Summary

LFM-v2-Distilled-15K is a supervised fine-tuning dataset for logic-oriented distillation. The prompts to the questions come from Jackrong/GLM-5.1-Reasoning-1M-Cleaned, and the answers were generated using the only lfm-2-24b-a2b teaching model. Dataset Details Dataset constructai/LFM-v2-Distilled-15K Source questions Jackrong/GLM-5.1-Reasoning-1M-Cleaned Teacher model lfm-2-24b-a2b Format JSONL… See the full description on the dataset page: huggingface.co/datasets/constructai/LFM-v2-Distilled-15K.

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Catalogue records · 1

Topics

Stated by source
text · text generation
From keywords
Computer Science & AI
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsconstructai/LFM-v2-Distilled-15K15 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[task].hf_task:text-generationsource · 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