datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Rosetta-Activations
Rosetta Activations
Updated: 2026-06-15 02:30 UTC
Contrastive activation extractions for 17 semantic concepts across 46 language models,
supporting cross-architecture mechanistic interpretability research.
Companion concept pair corpus: jamesrahenry/Rosetta_Concept_Pairs
Papers: forthcoming
Dataset Structure
Rosetta-Activations/
├── rcp_v1/ # Current extraction line — richest data (N≈2000)
│ └── {Model_Name}/
│ ├── calibration_{concept}.npy… See the full description on the dataset page: https://huggingface.co/datasets/james-ra-henry/Rosetta-Activations.ROSE-Dataset
ROSE: Remove Objects with Side Effects in Videos Dataset
This repository contains the dataset released alongside the paper ROSE: Remove Objects with Side Effects in Videos.
Paper: ROSE: Remove Objects with Side Effects in Videos
Project Page: https://rose2025-inpaint.github.io/
Code: https://github.com/Kunbyte-AI/ROSE
Abstract
Video object removal has achieved advanced performance due to the recent success of video generative models. However, when addressing the… See the full description on the dataset page: https://huggingface.co/datasets/Kunbyte/ROSE-Dataset.ROSE-Dataset
ROSE: Remove Objects with Side Effects in Videos Dataset
This repository contains the dataset released alongside the paper ROSE: Remove Objects with Side Effects in Videos.
Paper: ROSE: Remove Objects with Side Effects in Videos
Project Page: https://rose2025-inpaint.github.io/
Code: https://github.com/Kunbyte-AI/ROSE
Abstract
Video object removal has achieved advanced performance due to the recent success of video generative models. However, when addressing the… See the full description on the dataset page: https://huggingface.co/datasets/Lucky-kitty/ROSE-Dataset.trinity-dataset-v3SAbDab_raw
All raw data from The Structural Antibody Database (SAbDab)
Quickstart Usage
Install HuggingFace Datasets package
Each subset can be loaded into python using the Huggingface datasets library.
First, from the command line install the datasets library
$ pip install datasets
Optionally set the cache directory, e.g.
$ HF_HOME=${HOME}/.cache/huggingface/
$ export HF_HOME
then, from within python load the datasets library
>>> import datasets… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/SAbDab_raw.rosetta-code
Dataset Card for the Rosetta Code Dataset
Dataset Summary
Rosetta Code is a programming chrestomathy site. The idea is to present solutions to the same task in as many different languages as possible, to demonstrate how languages are similar and different, and to aid a person with a grounding in one approach to a problem in learning another. Rosetta Code currently has 1,203 tasks, 389 draft tasks, and is aware of 883 languages, though we do not (and cannot) have… See the full description on the dataset page: https://huggingface.co/datasets/christopher/rosetta-code.MIP
Microbiome Immunity Project: Protein Universe
~200,000 predicted structures for diverse protein sequences from 1,003
representative genomes across the microbial tree of life and annotate
them functionally on a per-residue basis.
Quickstart Usage
Install HuggingFace Datasets package
Each subset can be loaded into python using the Huggingface datasets library.
First, from the command line install the datasets library
$ pip install datasets
Optionally set the… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/MIP.roserosettacode-rawProteinMPNN
Curated ProteinMPNN training dataset
The multi-chain training data for ProteinMPNN
Quickstart Usage
Install HuggingFace Datasets package
Each subset can be loaded into python using the Huggingface datasets library.
First, from the command line install the datasets library
$ pip install datasets
Optionally set the cache directory, e.g.
$ HF_HOME=${HOME}/.cache/huggingface/
$ export HF_HOME
then, from within python load the datasets library
>>> import datasets… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/ProteinMPNN.MegaScale
Mega-scale experimental analysis of protein folding stability in biology and design
The full MegaScale dataset contains 1,841,285 thermodynamic folding stability measurements
using cDNA display proteolysis of natural and designed proteins. From these 776,298 high-quality folding
stabilities (dataset2) cover all single amino acid variants and selected double mutants of 331 natural
and 148 de novo designed protein domains 40–72 amino acids in length. Of these mutations, 607,839 have… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/MegaScale.SAAINTDB
SAAINTDB
This dataset is a curated version of the SAAINT-DB converted into a format compatible with the Hugging Face Datasets for machine learning applications.
The dataset contains 21,400 antibody entries derived from 11,304 PDB structures, reflecting the available structures as of February 2026. Each entry corresponds to an antibody chain and is uniquely identified using the PDB_ID_chain field (PDB ID + chain ID).
Dataset Splits
The dataset was split at the PDB… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/SAAINTDB.SAbDab
ML Application Curated SAbDab
Quickstart Usage
Install HuggingFace Datasets package
Each subset can be loaded into python using the Huggingface datasets library.
First, from the command line install the datasets library
$ pip install datasets
Optionally set the cache directory, e.g.
$ HF_HOME=${HOME}/.cache/huggingface/
$ export HF_HOME
then, from within python load the datasets library
>>> import datasets
Load model datasets
To load… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/SAbDab.BOCoDe
BOCoDe: Engineering-Centered Benchmarking for Bayesian Optimization
Companion dataset for the paper BOCoDe: Engineering-Centered Benchmarking for Bayesian
Optimization and the
BOCoDe library (pip install bocode).
BOCoDe is a benchmark of 307 black-box optimization problems — 159 engineering,
80 hyperparameter-optimization (HPO), and 68 synthetic — spanning five optimization
classes (single-/multi-objective, unconstrained/constrained, mixed-variable), with 31
reference… See the full description on the dataset page: https://huggingface.co/datasets/rosenyu/BOCoDe.roseRoSE benchmarkesa-rosetta-observations
ESA Rosetta Observations
Credit: NASA/ESA
Part of the Solar System Datasets and Planetary Science Datasets collections on Hugging Face.
Complete observation metadata catalog from the ESA Rosetta mission to Comet 67P/Churyumov-Gerasimenko — 8,214,033
observations across 15 instruments.
Dataset description
Rosetta was ESA's groundbreaking mission to Comet 67P/Churyumov-Gerasimenko. Launched in 2004, it became the first spacecraft to orbit a comet (August 2014) and… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-rosetta-observations.rose_datasetestelle_rosenthal_toarukagakunoaccelerator
Dataset of Estelle Rosenthal/エステル・ローゼンタール (Toaru Kagaku No Accelerator)
This is the dataset of Estelle Rosenthal/エステル・ローゼンタール (Toaru Kagaku No Accelerator), containing 145 images and their tags.
The core tags of this character are blonde_hair, green_eyes, long_hair, ribbon, hair_ribbon, mole_under_eye, mole, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/estelle_rosenthal_toarukagakunoaccelerator.rosettacode-parsed
Data Origins
Original dataset: https://huggingface.co/datasets/jondurbin/rosettacode-raw/
Cleaner code: https://github.com/the-crypt-keeper/rosettacode-parser
Data Fields
Field
Type
Description
title
string
problem title
task
string
problem description
language
string
solution language/variant
soulution
string
solution source code
Languages
One .jsonl is provided per language group, the sublanguage field in the data denotes the… See the full description on the dataset page: https://huggingface.co/datasets/mike-ravkine/rosettacode-parsed.blue-rose-musicClimaQA
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models (ICLR 2025)
Check the paper's webpage and GitHub for more info!
The ClimaQA benchmark is designed to evaluate Large Language Models (LLMs) on climate science question-answering tasks by ensuring scientific rigor and complexity. It is built from graduate-level climate science textbooks, which provide a reliable foundation for generating questions with precise terminology and complex scientific theories.… See the full description on the dataset page: https://huggingface.co/datasets/Rose-STL-Lab/ClimaQA.Zephyrus
ZephyrusBench
ZephyrusBench is a weather-science benchmark released with the paper Zephyrus: An Agentic Framework for Weather Science. It contains 2,230 question-answer pairs across 49 tasks spanning geospatial reasoning, temporal reasoning, forecasting, simulation, climatology, and scientific question answering.Accepted at the International Conference on Learning Representations, 2026.
Paper and Resources
Paper: arXiv
Poster: ICLR 2026 Poster
Code: Rose-STL-Lab/Zephyrus… See the full description on the dataset page: https://huggingface.co/datasets/Rose-STL-Lab/Zephyrus.ro_seedbench2
Dataset Description
SEED-Bench-2 is a comprehensive large-scale benchmark for evaluating Multimodal Large Language Models (MLLMs), featuring 24K multiple-choice questions with precise human annotations. It spans 27 evaluation dimensions, assessing both text and image generation.
Here we provide the Romanian translation of SEED-Bench-2, translated with gpt-4.1-mini. This dataset is used as a benchmark and is part of the evaluation protocol for Romanian VLMs proposed in "Înțelegi… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_seedbench2.FireProtDB2
Dataset Card for FireProtDB_2.0
Subsets of protein stability data for single-point mutants from FireProtDB, a comprehensive curated database.
Dataset Details
Subsets of different thermal data of single-point mutations in the FireProtDB database with train/validation/test splits:
ΔG, ΔΔG
Tm, ΔTm
Fitness
Stabilizing
Dataset Description
This dataset contains curated subsets of various thermal stability measurements derived from FireProtDB. Subsets… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/FireProtDB2.SimulCost-Bench
SimulCost-Bench
📖 Paper | 🛠️ Code | 🌐 Website | 💾 Cache (Baseline) | 💾 Cache (Full)
SimulCost is a cost-aware benchmark and toolkit for evaluating how well LLM agents tune simulation parameters under realistic computational budgets. Unlike prior evaluations that focus on correctness while implicitly treating tool usage as “free,” SimulCost explicitly measures both: (1) whether a proposed configuration meets an accuracy target and (2) how much simulation compute it consumes.The… See the full description on the dataset page: https://huggingface.co/datasets/Rose-STL-Lab/SimulCost-Bench.ROSEro_sentThis dataset is a Romanian Sentiment Analysis dataset.
It is present in a processed form, as used by the authors of `Romanian Transformers`
in their examples and based on the original data present in
`https://github.com/katakonst/sentiment-analysis-tensorflow`. The original dataset is collected
from product and movie reviews in Romanian.AfCycDesign
Dataset Card for AfCycDesign
Hallucinated scaffolds used by AfCycDesign for cyclic peptide design.
Dataset Details
Sets 7-16 of hallucinated peptide cif files and experimental CCDC structures.
Dataset Description
This dataset contains hallucinated cyclic peptide scaffold structures (in CIF format) generated using AfCycDesign, a deep learning approach built on AlphaFold2 for de novo design of cyclic peptides. The scaffolds span peptide lengths of 7–16 residues… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/AfCycDesign.PISCES-CulledPDB
PISCES-CulledPDB database as of January 2026
Recurated on Hugging Face on March 5th 2026
The PISCES dataset provides curated sets of protein sequences from the Protein Data Bank (PDB) based on sequence identity and structural quality criteria. PISCES yields non-redundant subsets of protein chains by applying filters such as sequence identity, experimental resolution, R-factor, chain length, and experimental method (e.g., X-ray, NMR, cryo-EM). The goal is to maximize structural… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/PISCES-CulledPDB.Rosetum3D