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01minnesotanlp /Finch-Collection Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks A mid-training "practice phase" that teaches small open-source LLMs how to evolve solutions. 👋 Welcome to Finch Collection, the dataset proposed in Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks. It is a 156K-trajectory a large-scale dataset of 156K evolutionary search trajectories collected… See the full description on the dataset page: https://huggingface.co/datasets/minnesotanlp/Finch-Collection.imagetext-generation100K<n<1M8 likes729 downloads3mo agoHugging Face02minnesotanlp /Finch-Collection-Gemini-3-Flash Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks A mid-training "practice phase" that teaches small open-source LLMs how to evolve solutions. 👋 This is the Gemini-3-Flash teacher variant of the Finch Collection — evolutionary search trajectories from the paper Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks, but with Gemini-3-Flash as the teacher mutation… See the full description on the dataset page: https://huggingface.co/datasets/minnesotanlp/Finch-Collection-Gemini-3-Flash.imagetext-generation1K<n<10K1 likes118 downloads3mo agoHugging Face03minnesotanlp /lawflow-reasoning-simulation LawFlow: Collecting and Simulating Lawyers' Thought Processes Debarati Das, Khanh Chi Le*, Ritik Parkar*, Karin De Langis, Brendan Madson, Chad Berryman, Robin Willis, Daniel Moses, Brett McDonnell†, Daniel Schwarcz†, Dongyeop Kang† Minnesota NLP, University of Minnesota Twin Cities *equal contribution, †senior advisors Arxiv Project Page Dataset Summary and Purpose LawFlow: Collecting and Simulating Lawyers' Thought Processes The purpose of this dataset is aim… See the full description on the dataset page: https://huggingface.co/datasets/minnesotanlp/lawflow-reasoning-simulation.tabulartext-generationn<1K2 likes97 downloads1y agoHugging Face04minnesotanlp /Finch-Collection-GPT-5.4 Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks A mid-training "practice phase" that teaches small open-source LLMs how to evolve solutions. 👋 This is the GPT-5.4 teacher variant of the Finch Collection — evolutionary search trajectories from the paper Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks, but with GPT-5.4 as the teacher mutation operator (the main… See the full description on the dataset page: https://huggingface.co/datasets/minnesotanlp/Finch-Collection-GPT-5.4.imagetext-generation1K<n<10K2 likes78 downloads3mo agoHugging Face

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