Created dataset card

README.md

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