---
license: apache-2.0
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---

language:

* en

license: apache-2.0

task_categories:

* text-classification
* token-classification

tags:

* cosmetics
* llm
* ontology
* classification
* multilabel-classification
* machine-learning
* nlp
* hierarchical-classification
* cosmetic-chemistry

size_categories:

* 1K<n<10K

---


# CosFunc-HO: A Hierarchical Cosmetic Ingredient Function Dataset

## Overview

CosFunc-HO is a cleaned and structured cosmetic ingredient function dataset developed from COSDNA data for research in Large Language Models (LLMs), ontology learning, multi-label classification, and cosmetic chemistry analysis.

The dataset contains more than 9,000 labeled cosmetic ingredient records and includes hierarchical functional annotations organized into multiple levels of abstraction.

This dataset was created as part of a research study on evaluating Large Language Models for cosmetic ingredient function prediction using hierarchical ontologies.

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## Dataset Contents

### Main Files

* `cosfunc_final_dataset_v4_1.csv`
* `cosfunc_final_ontology_v4_1.csv`

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## Features

The dataset includes:

* Ingredient names
* Parent functional labels
* High-level functional domains
* Ontology mappings

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## Applications

This dataset can be used for:

* Multi-label classification
* LLM evaluation
* Ontology learning
* Hierarchical classification
* Cosmetic ingredient analysis
* Domain-specific NLP research

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## Domains Included

* Conditioning Agents
* Surfactants and Cleansing Agents
* Protective and Preservation Agents
* Formulation and Texture Modifiers
* Sensory and Aesthetic Agents
* Solvents and Carriers
* Mechanical and Physical Agents
* Hair Treatment and Styling

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## Research Context

This dataset supports research on:

* Large Language Model evaluation
* Hallucination analysis
* Hierarchical ontology design
* Structured prediction tasks
* Semantic label alignment

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## License

Apache License 2.0