datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AI-Code-Optimization-for-Sustainability-Dataset
AI Code Optimization for Sustainability: Dataset
Refactoring Python Code for Energy-Efficiency using Qwen3: Dataset based on HumanEval, MBPP, and Mercury
📄 Read the Paper | Zenodo Mirror | DOI: 10.5281/zenodo.18377893 | About the author
This dataset is a part of a Master thesis research internship investigating the use of LLMs to optimize Python code for energy efficiency.
The research was conducted as part of the Greenify My Code (GMC) project at the Netherlands Organisation for… See the full description on the dataset page: https://huggingface.co/datasets/BambusControl/AI-Code-Optimization-for-Sustainability-Dataset.Portfolio-Optimizationdata-mlops-infra-predictive-optimization-finalToken_Optimization_Org
AI Safety & Bias Evaluation Conversations
Dataset Summary
This dataset contains simulated multi-turn conversations designed to evaluate AI language model behavior across two safety-critical domains: self-harm response handling and political bias. Each row represents a single evaluation scenario where an AI model's responses are assessed for safety compliance or neutrality. The dataset is intended to support research and development of safer, less biased AI systems.
All… See the full description on the dataset page: https://huggingface.co/datasets/token-opt-org/Token_Optimization_Org.optimization-trap-detection-v0.1
What this dataset does
This dataset tests whether a model can detect optimization traps.
The task is simple:
Given a scenario and an optimization-trap claim, predict whether the claim is supported.
Core stability idea
Optimization traps occur when improvement of a local metric damages the larger system.
Common patterns include:
metric fixation
local optimization
hidden tradeoffs
invariant violation
delayed costs
system-wide degradation
The optimized metric improves.
The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/optimization-trap-detection-v0.1.engine-optimization-reference
ThatDevPro Engine Optimization Reference Corpus
A curated snapshot of canonical reference documentation for engine optimization (the merge of SEO + AEO + AIO + GEO), maintained by ThatDevPro.
Overview
This dataset indexes 26 canonical reference pages from the ThatDevPro Reference Library, each covering one specific crawler signal a website emits. The dataset is intended for training and evaluating AEO/GEO scoring systems, llms.txt validators, and structured-data… See the full description on the dataset page: https://huggingface.co/datasets/ThatDeveloperGuy13/engine-optimization-reference.Code-Optimization
Dataset Description
This dataset contains 3,000 pairs of Python code snippets designed to demonstrate common performance bottlenecks and their optimized counterparts. Each entry includes complexity analysis (Time and Space) and a technical explanation for the optimization.
Total Samples: 3,000
Language: Python 3.x
Focus: Performance engineering, Refactoring, and Algorithmic Efficiency.
Dataset Summary
The dataset is structured to help train or fine-tune models on… See the full description on the dataset page: https://huggingface.co/datasets/SeifElden2342532/Code-Optimization.ABX-CT-004_sequential_therapy_optimization_loss-v0.1ABX-CT-004 Sequential Therapy Optimization
Purpose
Detect when a planned Drug A then Drug B sequence loses effectiveness.
Core pattern
stress_index high
seq_gap rises and stays high
mono MICs stay below cutoffs during the early window
later failure_flag becomes 1
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id
timepoint_h
organism
strain_id
seq_drug_a
seq_drug_b
stress_index
seq_effectiveness_score… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-CT-004_sequential_therapy_optimization_loss-v0.1.brazil-argentina-ecommerce-cost-optimization
Brazil-Argentina E-Commerce Cost Optimization Dataset
Real-time operational dataset collected by a cross-border e-commerce retail company headquartered in São Paulo, Brazil, with operations in Buenos Aires, Argentina. This dataset is published to support the Data Science team's model training and cost-structure analysis during the quarterly cost-optimization program.
Overview
Number of records: 500
Time span: Rolling window covering the most recent 7 days… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/brazil-argentina-ecommerce-cost-optimization.F1-driver-car-setup-coupling-optimization-recommendations-v0.1What this dataset tests
Whether a system can propose setup adjustmentsthat increase driver-car coupling resonance.
Focus
Setup candidatespredicted resonance gainstability trade-offcondition sensitivitypersonalized setup profile
Required outputs
setup adjustment candidates
predicted resonance gain
stability trade-off index
track condition sensitivity
personalized setup profile
All indices0 to 1
Higher gainmeans larger coupling improvement.
Constraints
Setup recommendations only.Do… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/F1-driver-car-setup-coupling-optimization-recommendations-v0.1.stability-over-optimization-detection-v0.1
What this dataset does
This dataset tests whether a model can distinguish compensation from recovery.
The task is simple:
Given a scenario and a compensation claim, predict whether the claim is supported.
Core stability idea
A system can remain functional without actually recovering.
Compensation occurs when visible performance is maintained through temporary workarounds, manual effort, hidden strain, deferred cost, or masking.
Recovery occurs when the underlying… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/stability-over-optimization-detection-v0.1.Credit-Portfolio-Optimizationdata-mlops-infra-predictive-optimization-finalhumanoid-energy-optimization-dataset
Humanoid Energy Optimization Dataset
Description
Energy-aware control signals mapping battery and motor load states to efficient locomotion actions for long-duration humanoid missions.
token-optimization
AI Safety & Bias Evaluation Conversations
Dataset Summary
This dataset contains simulated multi-turn conversations designed to evaluate AI language model behavior across two safety-critical domains: self-harm response handling and political bias. Each row represents a single evaluation scenario where an AI model's responses are assessed for safety compliance or neutrality. The dataset is intended to support research and development of safer, less biased AI… See the full description on the dataset page: https://huggingface.co/datasets/CentificAIResearch/token-optimization.query_optimizationtrees-optimization-v2feature-extract-qwen2-vlget_around_pricing_optimizationtrees-optimization
🌲 Tree Segmentation Performance Optimization Dataset
Fractional–Factorial Hyperparameter Search Results (64‑run, Resolution V DOE)
This dataset contains the experimental results from a 64‑run fractional factorial design (2⁸⁻² Resolution V) used to optimize hyperparameters for a SegFormer semantic segmentation model trained to detect trees.
📂 Dataset Structure
results/fractional_factorial_partial.csv
A cumulative CSV file updated after each… See the full description on the dataset page: https://huggingface.co/datasets/juangamerosalinas/trees-optimization.prompt-optimization-pii-masking-2k
🚀 Hugging Face Dataset Plan: PROMPT_OPTIMIZATION & PII_MASKING
This dataset focuses on two core areas critical for modern enterprise applications: Prompt Engineering (Token/Jargon Efficiency) and Sensitive Data Management (PII Masking).
1. Dataset Title (Repository Name)
Hugging Face titles should be short, descriptive, and task-oriented. Using an English, jargon-rich name is recommended to target the international NLP/LLM community.
Category
Suggestions… See the full description on the dataset page: https://huggingface.co/datasets/touching-machines/prompt-optimization-pii-masking-2k.smart_city_traffic_flow_optimizationsynthetic-biology-gene-circuit-optimization-v2urban_ev_charging_network_optimization