minnesota
LLM-Artifacts
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
Debarati Das†¶, Karin de Langis¶, Anna Martin-Boyle¶, Jaehyung Kim¶, Minhwa Lee¶, Zae Myung Kim¶
Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Sachin Parkar, Ryan Koo,
Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu
Dongyeop Kang
Minnesota NLP, University of Minnesota Twin Cities
† Project Lead,
¶ Core Contribution,
Arxiv
Project Page
📌 Table of Contents
Introduction… See the full description on the dataset page: https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts.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.minnesota-layoffs-warn-act-notices-daily
Minnesota WARN Act layoff notices — every filing we hold since 2012, one CSV, rebuilt daily
457 Minnesota WARN notices — every one this dataset holds, back to 2021 — free to download in full: no paywalled years, no login, no account · most recent notice filed 2026-06-15
· state source last checked 2026-09-23T12:28Z · official source: Minnesota DEED (dislocated worker reports: plant closings, mass layoffs, WARN) — WARN notices.
Minnesota employers must file a WARN Act notice with… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/minnesota-layoffs-warn-act-notices-daily.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.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.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.