datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.swedish-text-complexity
Swedish Text Complexity Dataset
A corpus of Swedish texts annotated with readability and linguistic complexity metrics, created by the Department of Linguistics and Philology at Uppsala University.
Dataset Description
This dataset contains Swedish text passages annotated with multiple complexity metrics, designed to support research in:
Controllable text generation - Train LLMs to generate text at specific reading levels
Educational NLP - Match texts to student reading… See the full description on the dataset page: https://huggingface.co/datasets/UppsalaNLP/swedish-text-complexity.complexity-kink-research
Complexity Kink Research: LLM Code Generation Benchmark
First published: February 22, 2026Author: Michael Hernandez (XxCotHGxX)GitHub: XxCotHGxX/ComplexityKinkLicense: CC BY 4.0
Overview
This dataset supports the Complexity Kink research program — an econometric investigation into whether large language models exhibit a structural performance discontinuity as a function of problem complexity.
The central hypothesis is that LLM code generation performance does not… See the full description on the dataset page: https://huggingface.co/datasets/XxCotHGxX/complexity-kink-research.