datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
complexity-atlas-posttrain
Complexity Atlas Posttrain — Card Corpus V2
An English supervised fine-tuning corpus generated from authored semantic
frames, role-separated prompt/answer/thinking plans, compatibility graphs, and
VariableBy2D reservoirs. All 15 task families, including natural dialogue,
belong to one audited corpus and one tokenizer-compatible training view.
Release
Split
Examples
Train
224,654
Validation
2,478
Test
1,894
Total
229,026
The generator renders… See the full description on the dataset page: https://huggingface.co/datasets/AETHORIA-AI/complexity-atlas-posttrain.question-type-and-complexity
Question Type and Complexity (QTC) Dataset
Dataset Overview
The Question Type and Complexity (QTC) dataset is a comprehensive resource for linguistics/NLP research focusing on question classification and linguistic complexity analysis across multiple languages. It contains questions from two distinct sources (TyDi QA and Universal Dependencies v2.15), automatically annotated with question types (polar/content) and a set of linguistic complexity features.
Key Features:
2… See the full description on the dataset page: https://huggingface.co/datasets/rokokot/question-type-and-complexity.quantum-information-and-complexity-theory
Neura Parse — Quantum Information & Complexity Theory: Channels, Entropies, Classes & the Structure of Advantage
A proof-based theoretical-foundations vertical uniting quantum information theory (channels, entropies, entanglement measures, distinguishability, capacities, Shannon theory) with quantum complexity theory and the structure of quantum advantage (classes, Hamiltonian complexity, sampling-based advantage and its verification, pseudorandomness, dequantization).… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-information-and-complexity-theory.nepali-Psychology-domain-behaviour-diversity-complexity-sft-dataset
🧠 Nepali Psychology Question Dataset — 2,000 Samples
📌 Overview
The Nepali Psychology Question Dataset is a specialized Nepali-language dataset containing 2,000 psychology-related question-answer records designed for Natural Language Processing (NLP), Large Language Models (LLMs), Small Language Models (SLMs), Supervised Fine-Tuning (SFT), Question Answering (QA), instruction tuning, educational AI, and psychology-domain research.
The dataset is designed with a… See the full description on the dataset page: https://huggingface.co/datasets/sabin1234/nepali-Psychology-domain-behaviour-diversity-complexity-sft-dataset.