disorder
Datasets
All datasets matching “disorder”disorderflowpgc-cross-disorder
PGC Cross-Disorder — GWAS Summary Statistics
Dataset Description
Genome-wide association study (GWAS) summary statistics for Cross-Disorder phenotypes from the Psychiatric Genomics Consortium (PGC).
Each publication is available as a separate subset (config) and can be loaded independently.
Usage
from datasets import load_dataset
# Load a specific GWAS
ds = load_dataset("OpenMed/pgc-cross-disorder", "cdg2013")
print(ds)
List all… See the full description on the dataset page: https://huggingface.co/datasets/tunahanf/pgc-cross-disorder.pgc-cross-disorder
PGC Cross-Disorder — GWAS Summary Statistics
Dataset Description
Genome-wide association study (GWAS) summary statistics for Cross-Disorder phenotypes from the Psychiatric Genomics Consortium (PGC).
Each publication is available as a separate subset (config) and can be loaded independently.
Usage
from datasets import load_dataset
# Load a specific GWAS
ds = load_dataset("OpenMed/pgc-cross-disorder", "cdg2013")
print(ds)
List all available subsets… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/pgc-cross-disorder.africa-synth-epilepsy-neurological-disorders-all
Epilepsy & Neurological Disorders Dataset (Seizure Type, AED, Treatment Gap, EEG) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-epilepsy-neurological-disorders-all.speech_disorders_voiceDDCBot-mental-disorders
DDCBot Mental Disorders Dataset (Split Batches)
This dataset is derived from Kanakmi/mental-disorders, and has been split into 10 batches of 50,000 records each to facilitate efficient Large Language Model (LLM) fine-tuning for the DDCBot project.
🧠 About DDCBot
DDCBot (Disorder Detection & Care Bot) is an intelligent mental health assistant that uses fine-tuned LLMs to identify patterns in mental health-related textual data. It aims to:
Detect early signs of various… See the full description on the dataset page: https://huggingface.co/datasets/Navi004/DDCBot-mental-disorders.