Hugo
Datasets
All datasets matching “Hugo”buy_sell_intentmath-code-science-deepseek-r1-en
R1 Dataset Collection
Aggregated high-quality English prompts and model-generated responses from DeepSeek R1 and DeepSeek R1-0528.
Dataset Summary
The R1 Dataset Collection combines multiple public DeepSeek-generated instruction-response corpora into a single, cleaned, English-only JSONL file. Each example consists of a <|user|> prompt and a <|assistant|> response in one "text" field. This release includes:
~21,000 examples from the DeepSeek-R1-0528 Distilled Custom… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/math-code-science-deepseek-r1-en.natural_questions_parseddolma-en
Dolma-English
Overview
This dataset is a filtered subset of the Dolma corpus, restricted to English-only documents and further constrained by a minimum document length threshold. It is intended for training and evaluating large language models and other NLP systems that benefit from higher-quality, sufficiently long English text.
The primary goals of this dataset are:
To reduce multilingual and very short/noisy content present in the raw Dolma corpus.
To provide a… See the full description on the dataset page: https://huggingface.co/datasets/Hugodonotexit/dolma-en.TimeQA
TimeQA
Check out the original GitHub repo to learn more about the dataset.
HUGO-Bench-Paper-Reproducibility
HUGO-Bench Paper Reproducibility
Supplementary data and reproducibility materials for the paper:
Vision Transformers for Zero-Shot Clustering of Animal Images: A Comparative Benchmarking Study - https://arxiv.org/abs/2602.03894
Hugo Markoff, Stefan Hein Bengtson, Michael Ørsted
Aalborg University, Denmark
Dataset Description
This repository contains complete experimental results, pre-computed embeddings, and execution logs from our comprehensive benchmarking study… See the full description on the dataset page: https://huggingface.co/datasets/AI-EcoNet/HUGO-Bench-Paper-Reproducibility.