datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
compact-jailbreaks
Dataset Featurization: Extracting Compact Jailbreaks
This repository contains the datasets used in our case study on extracting compact representations of jailbreak tactics, demonstrating how our unsupervised featurization pipeline can effectively compress large sets of adversarial prompts while maintaining their effectiveness and diversity.
Featurization - WildTeaming
Access both the input dataset from WildTeaming and the evaluation stage outputs containing candidate… See the full description on the dataset page: https://huggingface.co/datasets/Bravansky/compact-jailbreaks.Roll-Compactor-Control-Performance
Roll Compactor Control Performance: PID Tuning & Process Stability (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
This dataset is 100% synthetic and intended for educational use only.
It was generated from PID control theory applied to roll compaction process
dynamics — not measured on any real equipment, customer, or production batch.
What's in… See the full description on the dataset page: https://huggingface.co/datasets/IPA-Marketing/Roll-Compactor-Control-Performance.MedConclusion-Compact
MedConclusion-Compact
MedConclusion is a large-scale dataset of 5.7M PubMed structured abstracts for biomedical conclusion generation. Each instance pairs the non-conclusion sections of an abstract with the original author-written conclusion, providing naturally occurring supervision for evidence-to-conclusion reasoning. MedConclusion also includes journal-level metadata such as biomedical category and SJR, enabling subgroup analysis across biomedical domains.
This repository… See the full description on the dataset page: https://huggingface.co/datasets/harvardairobotics/MedConclusion-Compact.ipa-pharma-compactor-platform
IPA Pharmaceutical Roller Compactor Platform: Scale-Up & Performance (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
⚠️ This dataset is 100% synthetic and intended for educational use only.
Generated from IPA's published CL-series specifications and standard
compaction physics — not real production or clinical batch data.
What's in this dataset
3,000 simulated… See the full description on the dataset page: https://huggingface.co/datasets/Innovative-Process-Applications/ipa-pharma-compactor-platform.roller-compaction-ribbon-density
Roller Compaction: Ribbon Density vs. Process Parameters (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
⚠️ This dataset is 100% synthetic and intended for educational use only.
It was generated from a published physical model (Johanson rolling theory + Heckel densification) — not measured on any real equipment, customer, or production batch. Do not use it for… See the full description on the dataset page: https://huggingface.co/datasets/Innovative-Process-Applications/roller-compaction-ribbon-density.Dry-Granulation_Roll-Compaction_and_Milling
Dry Granulation: Multi-Material Roll Compaction & Milling (Synthetic)
Version: 1.0
Publisher: Innovative Process Applications (IPA)
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact: Crestwood, IL, USA
This dataset is 100% synthetic and intended for educational use only.
It was generated from published physical models and real compactor specifications —
not measured on any real equipment, customer, or production batch. Do not use it for
regulatory… See the full description on the dataset page: https://huggingface.co/datasets/IPA-Marketing/Dry-Granulation_Roll-Compaction_and_Milling.spider_test_compactcompact_pipeline_test_onlyfiltered_pipeline_spider_compactspider_train_compactspider_val_compactcompact_pipeline_train_with_templates_n876compact_pipeline_train_with_templates_n1752compact_pipeline_val