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---
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tags:
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- biology
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- medicine
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- food-allergy
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- immunology
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- drug-discovery
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- clinical-trials
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- genomics
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- proteomics
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- science
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- huggingscience
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- food-allergies
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- allergies
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pretty_name: Awesome Food Allergy Datasets
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/awesome-food-allergy-datasets.tsv
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dataset_info:
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features:
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- name: Name
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dtype: string
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- name: Category
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dtype: string
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- name: Description
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dtype: string
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- name: Task
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dtype: string
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- name: Data_Type
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dtype: string
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- name: Source
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dtype: string
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- name: Paper link
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dtype: string
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- name: Availability
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dtype: string
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- name: Contact
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dtype: string
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splits:
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- name: train
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num_examples: 72
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download_size: 24576
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dataset_size: 110592
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size_categories: <1K
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license: apache-2.0
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size_categories:
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- n<1K
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---
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# Awesome Food Allergy Datasets |
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A curated collection of datasets, databases, and computational resources for food allergy research, allergen identification, drug development, and clinical applications. |
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## 🧬 Dataset Description |
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### Dataset Summary |
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Food allergy affects over 220 million people worldwide. This repository serves as the first comprehensive, open collection of AI-ready datasets for food allergy research—spanning clinical trials, immunotherapy, genomics, proteomics, microbiome, and molecular data. |
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This dataset is a **meta-dataset**; it contains a curated list of pointers to various food allergy datasets, including their names, descriptions, data types, and direct links to their sources and corresponding research papers. |
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### Our Goal |
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Enable researchers, ML practitioners, and the scientific community to advance AI applications in: |
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- 🏥 **Early Detection & Risk Stratification** |
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- 💊 **Drug Design & Immunotherapy Development** |
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- 🌿 **Food Engineering & Hypoallergenic Product Development** |
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## 🎯 Supported Tasks |
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This collection supports a wide range of tasks across different domains of food allergy research: |
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- **Allergen Identification & Prediction**: Identifying and predicting allergenic potential of proteins. |
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- **Drug & Immunotherapy Development**: Datasets for designing new drugs, analyzing immunotherapy outcomes, and mapping epitopes. |
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- **Patient Management & Clinical Decision Support**: Clinical data to help in patient diagnosis, risk assessment, and management. |
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- **Food Product Development & Safety**: Resources for ingredient analysis and developing hypoallergenic food products. |
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- **Computational Method Development**: Benchmarking datasets for tasks like drug-target interaction and property prediction. |
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- **Cross-Reactivity Analysis**: Datasets to study and predict cross-reactivity between different allergens. |
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## 🧱 Dataset Structure |
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### Data Instances |
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Each instance in the dataset is a pointer to a specific food allergy resource, providing metadata about it. |
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Example: |
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```json |
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{ |
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"Name": "SDAP 2.0", |
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"Category": "Drug & Immunotherapy Development", |
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"Description": "SDAP is a Web server that integrates a database of allergenic proteins with various computational tools that can assist structural biology studies related to allergens. SDAP is an important tool in the investigation of the cross-reactivity between known allergens, in testing the FAO/WHO allergenicity rules for new proteins, and in predicting the IgE-binding potential of genetically modified food proteins.", |
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"Task": "Drug Design, Structural Analysis, Epitope Mapping, Cross-Reactivity Modeling", |
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"Data_Type": "Molecular", |
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"Source": "https://fermi.utmb.edu/", |
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"Paper link": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10509899/", |
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"Availability": "Open source", |
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"Contact": null |
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} |
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``` |
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### Data Fields |
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| Field Name | Type | Description | |
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|-------------|------|-------------| |
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| **Name** | string | The official name of the dataset or resource. | |
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| **Category** | string | The primary research area the dataset belongs to (e.g., Drug Development). | |
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| **Description** | string | A detailed summary of the dataset's contents and purpose. | |
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| **Task** | string | Specific machine learning or research tasks supported by the data. | |
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| **Data_Type** | string | The type of data contained (e.g., Molecular, Clinical, Mixed). | |
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| **Source** | string | A direct URL to access the dataset or resource. | |
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| **Paper link** | string | A URL to the primary research paper or documentation for the dataset. | |
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| **Availability** | string | The access status of the dataset (e.g., Open source, Gated). | |
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| **Contact** | string | Contact information for the dataset curators, if available. | |
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## 🧩 Dataset Creation |
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This collection was manually curated by reviewing scientific literature, open data repositories, and clinical trial databases. |
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Each entry was selected for its relevance to food allergy research and its potential for use in computational and artificial intelligence applications. |
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The goal was to create a **centralized, comprehensive, and accessible catalog** to accelerate research in the field. |
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## ⚖️ License |
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The dataset collection itself is licensed under the **Apache License 2.0**. |
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However, the individual datasets listed within this collection are subject to their own licenses. |
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Please consult the **Source** and **Availability** fields for each dataset to determine its specific license and usage terms. |
