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README.md

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 license: apache-2.0
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+# 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.
+
+---
+
+## Dataset Contents
+
+### Main Files
+
+* `cosfunc_final_dataset_v4_1.csv`
+* `cosfunc_final_ontology_v4_1.csv`
+
+---
+
+## Features
+
+The dataset includes:
+
+* Ingredient names
+* Parent functional labels
+* High-level functional domains
+* Ontology mappings
+
+---
+
+## Applications
+
+This dataset can be used for:
+
+* Multi-label classification
+* LLM evaluation
+* Ontology learning
+* Hierarchical classification
+* Cosmetic ingredient analysis
+* Domain-specific NLP research
+
+---
+
+## 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
+
+---
+
+## Research Context
+
+This dataset supports research on:
+
+* Large Language Model evaluation
+* Hallucination analysis
+* Hierarchical ontology design
+* Structured prediction tasks
+* Semantic label alignment
+
+---
+
+## License
+
+Apache License 2.0