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| license: apache-2.0 |
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| language: |
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| * en |
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| license: apache-2.0 |
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| task_categories: |
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| * text-classification |
| * token-classification |
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| tags: |
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| * cosmetics |
| * llm |
| * ontology |
| * classification |
| * multilabel-classification |
| * machine-learning |
| * nlp |
| * hierarchical-classification |
| * cosmetic-chemistry |
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| size_categories: |
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| * 1K<n<10K |
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| # CosFunc-HO: A Hierarchical Cosmetic Ingredient Function Dataset |
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| ## Overview |
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| 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. |
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| The dataset contains more than 9,000 labeled cosmetic ingredient records and includes hierarchical functional annotations organized into multiple levels of abstraction. |
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| 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 |
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| ### Main Files |
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| * `cosfunc_final_dataset_v4_1.csv` |
| * `cosfunc_final_ontology_v4_1.csv` |
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| ## Features |
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| The dataset includes: |
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| * Ingredient names |
| * Parent functional labels |
| * High-level functional domains |
| * Ontology mappings |
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| ## Applications |
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| This dataset can be used for: |
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| * Multi-label classification |
| * LLM evaluation |
| * Ontology learning |
| * Hierarchical classification |
| * Cosmetic ingredient analysis |
| * Domain-specific NLP research |
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| ## Domains Included |
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| * 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 |
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| This dataset supports research on: |
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| * Large Language Model evaluation |
| * Hallucination analysis |
| * Hierarchical ontology design |
| * Structured prediction tasks |
| * Semantic label alignment |
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| ## License |
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| Apache License 2.0 |
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