datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.esa-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.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.leetcode-rosetta-processed-with-test-casesAbAgym
AbAgym
AbAgym is a curated dataset of deep mutational scanning (DMS) measurements for antibody-antigen complexes. This Hugging Face version reorganizes the original AbAgym files into loadable dataset configurations using Apache Parquet, while preserving the original structure archive.
The original AbAgym repository describes the dataset as containing 68 DMS datasets on antibody-antigen complexes, approximately 324,000 non-redundant mutations, 36,541 non-redundant interface mutations… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/AbAgym.PRIDE_Crosslinking_Archive
PRIDE Crosslinking Archive
This dataset aggregates publicly available crosslinking mass spectrometry (XL-MS) datasets from the PRIDE repository.
Each dataset is curated and categorized by crosslinking reagent a link type (inter-chain vs intra-chain). For intra-chain links where the protein can be mapped to a
UniProt ID, each link is mapped onto the corresponding AlphaFold Database (AFDB) structure, and the Cα-Cα distance for the linked residue pair is reported.
The result is a… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/PRIDE_Crosslinking_Archive.UTexasAptamer
UT Aptamer Dataset
This is a collection of 1480 aptamer sequences from the University of Texas Aptamer Database as of 2023. This dataset is split into three subsets (train, test, and validation) based on clustering by CD-HIT.
Clustering
Clustering was conducting using the CD-HIT: Cluster Database at High Identity with Tolerance web browser using a 40% sequence identity threshold and word size of 2. To update this dataset with new reported aptamers, splits can be… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/UTexasAptamer.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/pharaouk/rosetta-code.dataset-rosetta-testrosettabench-150-stratified-compressed
About Dataset
Why?
Used for RosettaBench (A contamination-free benchmark for measuring learning, not memorization).
Preparation
Source: LiveCodeBench (release_v5, AtCoder platform only), accessed via sam-paech/livecodebench-code_generation_lite on Hugging Face.
AtCoder problems were selected for platform consistency and STDIN/STDOUT format compatibility. Problems with fewer than 3 test cases were excluded, leaving a pool of 342 problems.
Sampling: 150… See the full description on the dataset page: https://huggingface.co/datasets/namanbnsl/rosettabench-150-stratified-compressed.leetcode-rosetta-processedleetcode-rosettaleetcode-rosettaleetcode-rosetta-processed-recollected-with-test-casesrosetta_code_verilog Compilation of all the Verilog scripts from rosettacode.org.
The license for these scripts was found here
a1_code_rosettarussian-xnli-ipa-rosetta_ipa_romanizedrosettaload_in_code_rosettarosetta-trialsa1_code_rosetta_eval_636d
mlfoundations-dev/a1_code_rosetta_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
15.7
58.5
74.6
28.6
42.2
44.4
29.8
5.5
8.8
AIME24
Average Accuracy: 15.67% ± 0.82%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
20.00%
6
30
2
13.33%
4
30
3
13.33%
4
30
4
13.33%
4
30
5… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/a1_code_rosetta_eval_636d.rosetta_sampled_non-tokenizedb2_calc_positive_embeddings_code_leetcode_rosettarussian-xnli-ipa-rosettaMAHOMES_II
MAHOMES II
MAHOMES-II (Metal Activity Heuristic of Metalloprotein and Enzymatic Sites-II) is a structure-based dataset for classifying protein-bound metal sites as enzymatic or non-enzymatic. ('Enzyme' column)
Dataset Splits
The train/test split follows a temporal split based on PDB deposition date. Structures that were deposited before 2018 were included in the training dataset, and structures deposited in 2018 or later went into the holdout test set. The train dataset… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/MAHOMES_II.FoldDock
FoldDock
A collection of 219 heterodimers from dockground benchmark 4 dataset, and 1503 heterodimeric structures from a recent study (Green, A. G. et al. Nat. Commun. 12, 1–12 (2021)) (dubbed “marks”). The benchmark dataset was used to train an original model, that model was used to predict the structures in the second dataset.
This dataset is split into three subsets, each with two splits corresponding to the groups used in the source (marks, dockground).
Quickstart… See the full description on the dataset page: https://huggingface.co/datasets/RosettaCommons/FoldDock.