Scheduled Commit

data/records_711d63c8f9d8433eacbe5fe015f79dfa.jsonl

@@ -29,3 +29,4 @@
 {"id": "a43eb98540804b5d9b51051b93a2b91e", "created_at": "2025-09-25T14:23:45Z", "dataset_name": "MTG dataset", "dataset_url": "https://huggingface.co/datasets/meteolibre-dev/mtg_meteofrance_128_1km", "description": "Video dataset of satellite images and weather station KPI over France for weather nowcasting.", "approx_size": 100.0, "size_unit": "GB", "field": "climate", "user": "anonymous"}
 {"id": "66bfafdfd33943bea9ce55e666f77a2b", "created_at": "2025-09-25T14:28:13Z", "dataset_name": "MTG dataset europe", "dataset_url": "https://huggingface.co/datasets/meteolibre-dev/mtg_europe_128_1km", "description": "Video dataset of satellite images over Europe for weather nowcasting.", "approx_size": 100.0, "size_unit": "GB", "field": "climate", "user": "Adrien Bufort"}
 {"id": "d0beaa058d094e5b9c3343750bad94ed", "created_at": "2025-09-26T13:02:00Z", "dataset_name": "Allergy dataset", "dataset_url": "https://zenodo.org/records/44529", "description": "Dataset supporting the conclusions for article: \"The epidemiologic characteristics of healthcare provider-diagnosed eczema, asthma, allergic rhinitis, and food allergy in children: a retrospective cohort study\" by Hill et al.", "approx_size": 87.0, "size_unit": "MB", "field": "food allergy, epidemiology, cohort study", "user": "Vladislav Bronzov"}
+{"id": "0cee0d94384b4275a94a1fb24172bfe8", "created_at": "2025-09-26T13:04:50Z", "dataset_name": "Food Allergy & Intolerance Dataset", "dataset_url": "https://datahub.io/@RuthvikUppala30/US-food-allergy-dataset", "description": "This dataset contains data related to food allergies and intolerances. It includes key features such as age, gender, symptoms, food type consumed, IgE levels, and allergy history, helping in predictive modeling for food allergy detection and reaction severity assessment.", "approx_size": 660.0, "size_unit": "KB", "field": "food allergy, IgE levels, symptoms, allergy history", "user": "Vladislav Bronzov"}