datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.quantum-simulation-chemistry-materials
Neura Parse — Quantum Simulation of Chemistry & Materials: Encodings, VQE/QPE & Dynamics
An application-deep, code-backed vertical on simulating quantum matter: electronic-structure problems, fermion-to-qubit encodings, Hamiltonian factorizations, ground/excited-state and real-time-dynamics algorithms, and analog simulation, with end-to-end resource estimates and honest classical-competitor accounting. Built with Qiskit Nature, OpenFermion, PennyLane-QChem, and PySCF — far… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials.user-reply-modelling
User Reply Modelling
2 billion tokens of (recent post history : post that user replied to : user's reply to post) sets for deeply modelling user interactions. Collected between 2024-11-28 and 2024-12-04 on BlueSky.