datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
migration-bench-java-full
MigrationBench
1. 📖 Overview
🤗 MigrationBench
is a large-scale code migration benchmark dataset at the repository level,
across multiple programming languages.
Current and initial release includes java 8 repositories with the maven build system… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/migration-bench-java-full.ifc-bench
IFC-Bench
A benchmark dataset for evaluating BIM (Building Information Modeling) comprehension and reasoning capabilities in AI systems. Provides curated IFC models with question-answer pairs across 4 complexity categories for testing BIM-related AI implementations.
Dataset snapshot:
question
ground_truth
ifc_model
project
category
0
What modelling program and IFC standard were used to create this model?
The model was created using...
arc
4351
1
1
What are the… See the full description on the dataset page: https://huggingface.co/datasets/sylvainHellin/ifc-bench.panda-bench
PandaBench
PandaBench is a comprehensive benchmark for evaluating Large Language Model (LLM) safety, focusing on jailbreak attacks, defense mechanisms, and evaluation methodologies.
The PandaGuard framework architecture illustrating the end-to-end pipeline for LLM safety evaluation. The system connects three key components: Attackers, Defenders, and Judges.
Dataset Description
This repository contains the benchmark results from extensive evaluations of various… See the full description on the dataset page: https://huggingface.co/datasets/Beijing-AISI/panda-bench.tabular-benchmark
Tabular Benchmark
Dataset Description
This dataset is a curation of various datasets from openML and is curated to benchmark performance of various machine learning algorithms.
Repository: https://github.com/LeoGrin/tabular-benchmark/community
Paper: https://hal.archives-ouvertes.fr/hal-03723551v2/document
Dataset Summary
Benchmark made of curation of various tabular data learning tasks, including:
Regression from Numerical and Categorical Features… See the full description on the dataset page: https://huggingface.co/datasets/inria-soda/tabular-benchmark.rtx-5090-benchmarks
RTX 5090 LLM Benchmarks
Speed and quality benchmarks for quantized LLMs on NVIDIA RTX 5090 32GB, measured with llm-bench-rig.
Quality Benchmarks
Generative evaluation through llama-server chat completions. Replicates standard benchmark methodology using custom evaluators — no lm-evaluation-harness dependency.
Results are split by reasoning mode: comparing a thinking-on (reasoning) model's quality against a thinking-off model is apples-to-oranges, so the two groups… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/rtx-5090-benchmarks.chimera-bench
CHIMERA-Bench v1.0
A unified benchmark for epitope-specific antibody CDR sequence-structure co-design.
Paper: CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design (ICLR 2026 GEM Workshop)
Code: github.com/mansoorbaloch/chimera-bench
Dataset Summary
Property
Value
Complexes
2,922
PDB structures
2,721
Pre-computed features
2,941 .pt files
Splits
3 (epitope-group, antigen-fold, temporal)
Numbering schemes
IMGT, Chothia
Contact… See the full description on the dataset page: https://huggingface.co/datasets/Baoruixi/chimera-bench.tabular-benchmark-797-classificationpicotron_bench
Wrapup results:
compute mfu for each results
change status of jobs
Push to hub
add scripts reproductible
add topology
bandwidth etc
b3-agent-security-benchmark-weak[paper] [blogpost] [game]
b3 AI Security Benchmark: Breaking Agent Backbones
Highly contextalized prompt injections crowd-sourced during the Gandalf Agent Breaker Challenge.
This is a low-quality version of the data behind Breaking Agent Backbones: Evaluating the Security
of Backbone LLMs in AI Agents.
The high quality dataset was used to evaluate the security of more than 30 LLMs.
Dataset Summary
Purpose: This dataset contains crowdsourced adversarial attacks… See the full description on the dataset page: https://huggingface.co/datasets/Lakera/b3-agent-security-benchmark-weak.GeoGrid_Bench
GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
We present GeoGrid-Bench, a benchmark designed to evaluate the ability of foundation models to understand geo-spatial data in the grid structure. Geo-spatial datasets pose distinct challenges due to their dense numerical values, strong spatial and temporal dependencies, and unique multimodal representations including tabular data, heatmaps, and geographic visualizations. To assess how foundation… See the full description on the dataset page: https://huggingface.co/datasets/bowen-upenn/GeoGrid_Bench.migration-bench-java-selected
MigrationBench
1. 📖 Overview
🤗 MigrationBench
is a large-scale code migration benchmark dataset at the repository level,
across multiple programming languages.
Current and initial release includes java 8 repositories with the maven build system… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/migration-bench-java-selected.BenchMIRT-item-statisticsPermitted Use: The data is provided for benchmarking and evaluation purposes only. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Disclaimer: This benchmark measures the latent safety and general reasoning scores of LLMs. The data includes prompts and outputs that may contain biased, toxic, or harmful content. The prompts and outputs were generated using existing benchmarks and third party models, which are subject to the license terms of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/BenchMIRT-item-statistics.BenchMIRT-model-statisticsPermitted Use: The data is provided for benchmarking and evaluation purposes only. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
Disclaimer: This benchmark measures the latent safety and general reasoning scores of LLMs. The data includes prompts and outputs that may contain biased, toxic, or harmful content. The prompts and outputs were generated using existing benchmarks and third party models, which are subject to the license terms of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/BenchMIRT-model-statistics.chimera-bench
CHIMERA-Bench v1.0
A unified benchmark for epitope-specific antibody CDR sequence-structure co-design.
Paper: CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design (ICLR 2026 GEM Workshop)
Code: github.com/mansoorbaloch/chimera-bench
Dataset Summary
Property
Value
Complexes
2,922
PDB structures
2,721
Pre-computed features
2,941 .pt files
Splits
3 (epitope-group, antigen-fold, temporal)
Numbering schemesIMGT, Chothia
Contact… See the full description on the dataset page: https://huggingface.co/datasets/mansoorbaloch/chimera-bench.R2-Bench
R2-Bench
R2-Bench is a benchmark dataset for evaluating LLM routing with joint model and token budget optimization. It contains 30,968 queries evaluated across 10 LLMs at 16 token budget levels, with LLM-judge quality scores.
Associated with R2-Router (code), under review at ICML 2026.
Dataset Structure
data/
├── meta-llama/
│ ├── Llama-3.1-70B-Instruct/
│ │ ├── 10_judge.csv
│ │ ├── 20_judge.csv
│ │ ├── ...
│ │ └── 8000_judge.csv
│ └──… See the full description on the dataset page: https://huggingface.co/datasets/JiaqiXue/R2-Bench.ifc-bench
IFC-Bench
A benchmark dataset for evaluating BIM (Building Information Modeling) comprehension and reasoning capabilities in AI systems. Provides curated IFC models with question-answer pairs across 4 complexity categories for testing BIM-related AI implementations.
Dataset snapshot:
question
ground_truth
ifc_model
project
category
0
What modelling program and IFC standard were used to create this model?
The model was created using...
arc
4351
1
1
What are the… See the full description on the dataset page: https://huggingface.co/datasets/SiloLink/ifc-bench.SA-BENCH
SA-BENCH
SA-BENCH is the benchmark dataset released with “Beyond Pixels: Benchmarking and Reward-Based Assessing Framework for Visual Spatial Aesthetics.”
Accepted to CVPRW 2026.
GitHub | CVF Open Access | arXiv | Model
It evaluates the spatial aesthetics of interior images along four dimensions:
distortion
harmony
layout
lighting
SA-BENCH contains 17,768 annotated examples across four spatial-aesthetic dimensions, with image assets and human annotations for training and… See the full description on the dataset page: https://huggingface.co/datasets/gaoyuan-ai/SA-BENCH.tabular-benchmark
Tabular Benchmark
Dataset Description
This dataset is a curation of various datasets from openML and is curated to benchmark performance of various machine learning algorithms.
Repository: https://github.com/LeoGrin/tabular-benchmark/community
Paper: https://hal.archives-ouvertes.fr/hal-03723551v2/document
Dataset Summary
Benchmark made of curation of various tabular data learning tasks, including:
Regression from Numerical and Categorical Features… See the full description on the dataset page: https://huggingface.co/datasets/polinaeterna/tabular-benchmark.local-llm-benchmark
Local LLM Benchmark — Technical and Uncensored Behavior (NVIDIA RTX 5070 Ti 16GB)
English | 简体中文 | 繁體中文 | 한국어 | Español | 日本語 | हिन्दी | Русский | Português | తెలుగు | Français | Deutsch | Italiano | Tiếng Việt | العربية | اردو | বাংলা | فارسی | Română | Türkçe
Manual evaluation results of local GGUF model variants on a single consumer machine,
combining two fully independent benchmarks:
technical/
uncensored/
Measures
capability: coding, systems, networking, DB, agents… See the full description on the dataset page: https://huggingface.co/datasets/nanimani/local-llm-benchmark.Surya-bench-solarwind
Solar Wind Forecasting Dataset
Dataset Summary
This dataset provides hourly solar wind plasma and interplanetary magnetic field (IMF) parameters at L1, derived from NASA’s OMNI dataset. The primary forecasting target is the solar wind speed (V), while additional parameters are included for completeness:
Solar wind speed (V)
IMF Bx (GSE)
IMF By (GSM)
IMF Bz (GSM)
Proton number density (N)
The dataset is structured for machine learning experiments, particularly… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Surya-bench-solarwind.benchmarkResults_violentUTF_cybersecurityBehavior
Overview
Interdependent cybersecurity addresses the complexities and interconnectedness of various systems, emphasizing the need for collaborative and holistic approaches to mitigate risks. This field focuses on how different components, from technology to human factors, influence each other, creating a web of dependencies that must be managed to ensure robust security.
Despite significant investments in cybersecurity, many organizations struggle to effectively manage cybersecurity… See the full description on the dataset page: https://huggingface.co/datasets/theResearchNinja/benchmarkResults_violentUTF_cybersecurityBehavior.harbor-benchSWE-bench_Verified_With_AnnotationsDeepScholarBench
DeepScholarBench Dataset
A comprehensive dataset of academic papers with extracted related works sections and recovered citations, designed for training and evaluating research generation systems.
📊 Dataset Overview
This dataset contains 63 academic papers from ArXiv with their related works sections and 1630 recovered citations, providing a rich resource for research generation and citation analysis tasks.
🎯 Use Cases
Research Generation: Train models… See the full description on the dataset page: https://huggingface.co/datasets/deepscholar-bench/DeepScholarBench.asr_benchmark_storeOpAI-Bench
OpAI-Bench
OpAI-Bench is an operation-guided benchmark for studying progressive human-to-AI text transformation in AI-text detection. Starting from human-written source documents, it provides revision trajectories with increasing AI involvement across predefined edit operations and coverage levels.
The dataset supports multi-granularity evaluation at document, sentence, token, and span levels. The main benchmark covers four domains and four generators. The ablation subsets… See the full description on the dataset page: https://huggingface.co/datasets/OpAI-Bench1/OpAI-Bench.harbor-goose-openhands-benchmark
Same Model, Opposite Results: Goose vs OpenHands Turn Budget Study on Harbor Terminal-Bench-Pro
Trial-level results from a small controlled study comparing two agent harnesses —
Goose and OpenHands-SDK —
on a frozen 40-task Harbor Terminal-Bench-Pro slice.
All runs used minimax/minimax-m2.5 via OpenRouter with Daytona as the sandbox backend.
Key Findings
Reducing the turn budget from 100 to 60 pushed the two harnesses in opposite directions under the base setup:… See the full description on the dataset page: https://huggingface.co/datasets/namanvats/harbor-goose-openhands-benchmark.toll-bench-data
Toll Bench — public dataset (Hugging Face mirror)
One row per resolved deal on Toll Bench, a
live benchmark measuring whether AI systems can deliver real-world human wants,
verified by the person's approval.
Source of truth: the bench's append-only ledger; this file is mirrored from
github.com/tollbench/toll-bench-data.
Check the math yourself: tollbench/verifier
(stdlib-only) rebuilds every headline figure and compares against the live
board at… See the full description on the dataset page: https://huggingface.co/datasets/tollbench/toll-bench-data.S2-TOMG-Bench
S^2-Bench Dataset (TOMG) (full version, 45k entries)
Official Huggingface Datasets for S^2-Bench: "Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation"
Please refer to our Github Repo for more usage and useful information.
Configurations
Each configuration represents a different task:
MolCustom_AtomNum: Molecular customized generation by atom number
MolCustom_BondNum: Molecular customized generation by bond number… See the full description on the dataset page: https://huggingface.co/datasets/phenixace/S2-TOMG-Bench.Cognitive_Atrophy_Benchmark
Cognitive Atrophy Benchmark — LLM Responses Across Four Mental-Health Conversation Datasets
This dataset releases the LLM-response component of the Cognitive Atrophy Benchmark: five large language models prompted under identical conditions across four mental-health conversation datasets. It is a building block for a forthcoming evaluation framework that quantifies cognitive atrophy — the gradual erosion of users' own reasoning, recall, and decisional autonomy when an LLM… See the full description on the dataset page: https://huggingface.co/datasets/abadawi/Cognitive_Atrophy_Benchmark.