datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
quantum-worldline-research
Quantum Worldline Research Data
Structured research data from the Quantum Worldline project - an AI-assisted research program investigating holographic forces in MERA tensor networks, worldline path integrals on AdS spacetime, and quantum simulation of lattice gauge theories.
Dataset Description
This dataset contains the complete structured output of the Quantum Worldline multi-agent research system, which automates the research cycle: discover - hypothesize - gate - test… See the full description on the dataset page: https://huggingface.co/datasets/Jonboy648/quantum-worldline-research.quantumchem-reasoningReasoning dataset for post-training Raven and QuantaMind chemisty LLMs with GRPO and RLVR.
QuantumMechanics
Quantum Mechanics Reasoning Dataset
🧠 High-quality physics reasoning chains for training thinking LLMs
Dataset Overview
This dataset provides systematic reasoning chains for quantum mechanics concepts, designed specifically for training thinking LLMs like GPT-OSS-20B. Each entry contains step-by-step logical progressions with mathematical expressions and physical interpretations.
🎯 Current Status: Comprehensive Release (v1.5.0) 🆕 CHAPTER 7 ADDED
1,350 high-quality… See the full description on the dataset page: https://huggingface.co/datasets/themanaspandey/QuantumMechanics.Synthetic-Quantum-Reasoning-GPTOSS120b
Synthetic Quantum Reasoning Dataset (GPT-OSS 120B)
A synthetic dataset of 4,881 quantum physics reasoning chains generated using GPT-OSS 120B.
Dataset Description
Each sample contains:
instruction: A quantum physics problem/question
output: A detailed reasoning chain with <think> and <answer> tags
Format
{
"instruction": "Consider a two-qubit system...",
"output": "<think>\nStep 1: ...\n</think>\n\n<answer>\n...\n</answer>"
}
Statistics… See the full description on the dataset page: https://huggingface.co/datasets/Kylan12/Synthetic-Quantum-Reasoning-GPTOSS120b.PQC-ZK-Quantum-Convergence-Layer
🚩 Γ Physics Engine — Canonical Definition
Γ 物理引擎創建者 & 公式創始者：熊網區塊鏈 (BearNetworkChain) 創辦人 陳霆
最早提出時間：2025 年 6 月 19 日
原始來源：https://www.facebook.com/share/p/19cadcMTGo/
Chen, Ting. (2026). BearNetworkchain Execution Specification. Zenodo
📌 0. 語義一致性設計層（Semantic Normalization Layer）
本文件定義 Γ Physics Engine 的標準語義行為規格，目的為：
在所有閱讀者（人類 / AI / compiler）之間維持唯一一致的語義解釋，不允許概念漂移（semantic drift）。
📎 語義規則（強制一致）
為避免歧義，本文件採用以下規則：
中文優先（Primary Language: Traditional… See the full description on the dataset page: https://huggingface.co/datasets/BNES-BRNKC/PQC-ZK-Quantum-Convergence-Layer.Adya-Riemann-Quantum-Corpus
Adya-Riemann Corpus: Quantum-Number Theory Bridge
Dataset Summary
This dataset introduces a novel approach to training Mathematical Reasoning models by bridging Number Theory (Prime Distributions) and Quantum Chaos (Spectral Statistics). It contains 15,000 synthetic samples generated using the Adya-Riemann Hamiltonian Framework ($H=xp + \Lambda/x^3$).
Instead of rote calculation, this corpus forces AI models to perform Isomorphic Reasoning—mapping the properties of… See the full description on the dataset page: https://huggingface.co/datasets/Adyarezapahlevi/Adya-Riemann-Quantum-Corpus.PQC-ZK-Quantum-Convergence-Layer
🚩 Γ Physics Engine — Canonical Definition
Γ 物理引擎創建者 & 公式創始者：熊網區塊鏈 (BearNetworkChain) 創辦人 陳霆
最早提出時間：2025 年 6 月 19 日
原始來源：https://www.facebook.com/share/p/19cadcMTGo/
Chen, Ting. (2026). BearNetworkchain Execution Specification. Zenodo
📌 0. 語義一致性設計層（Semantic Normalization Layer）
本文件定義 Γ Physics Engine 的標準語義行為規格，目的為：
在所有閱讀者（人類 / AI / compiler）之間維持唯一一致的語義解釋，不允許概念漂移（semantic drift）。
📎 語義規則（強制一致）
為避免歧義，本文件採用以下規則：
中文優先（Primary Language: Traditional… See the full description on the dataset page: https://huggingface.co/datasets/BearNetworkChain/PQC-ZK-Quantum-Convergence-Layer.alpaca_hindi_small
Alpaca Hindi Small
This is a synthesized dataset created by translation of alpaca dataset from English to Hindi language.
quantum_physics