datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
drug-reviewsUCI_drug_reviews
Data Description
This data comes from the UC Irvine Machine Learning Repository. It has been preprocessed to only contain reviews at least 13 or more words in length. The raw data for this
specific dataset can be found here. The base UCI ML url can be found
here.
Drug-Review-Datasetuci-drug-review-cleaneddrugReviewsUCI_drugDrugBankdrug-seq-u2os-novartisI AM NOT AFFILIATED WITH NOVARTIS IN ANY WAY; THIS IS SIMPLY AN UPLOAD OF THEIR DATASET, "NOVARTIS/DRUG-SEQ U2OS MOABOX DATASET."
Novartis DRUG-seq U2OS MoABox Dataset
This dataset profiles transcriptomic responses of the U-2 OS human osteosarcoma cell line to a broad collection of small molecule perturbations. It contains 49,392 observations spanning 3,742 unique compounds tested at 4 distinct dosages + 0.0, each annotated with their respective mechanisms of action (MoA).
Each… See the full description on the dataset page: https://huggingface.co/datasets/TitouanCh/drug-seq-u2os-novartis.encoded_drug_reviewstw-drug-labels-vision
Dataset Card for tw-drug-labels-vision
💊 tw-drug-labels-vision 是一份涵蓋臺灣食品藥物管理署（TFDA）核發之 44,663 筆藥品仿單／外盒 的繁體中文多模態資料集。每一筆紀錄同時包含 PDF 全部頁面的渲染圖（WebP 多頁）以及一份依統一 17 欄 JSON Schema 抽取自原始藥品標示文件的結構化資料，可直接用於語言模型微調、視覺語言模型訓練、文件問答、藥品知識檢索、繁體中文醫藥 NLP 任務之素材。
Dataset Details
Dataset Description
本資料集源自臺灣 TFDA 公開的藥品許可證查詢系統。每筆紀錄對應一份藥品文件（仿單或外盒），原始為 PDF 圖檔形式。處理流程分為三階段：
下載：依據 20251222政府開放資料集_仿單與藥品外盒_66032.xlsx 中的 PDF URL，下載原始檔。
頁面渲染：將 PDF 各頁渲染為 WebP 圖檔，封裝在 images 欄位中。
OCR +… See the full description on the dataset page: https://huggingface.co/datasets/twinkle-ai/tw-drug-labels-vision.drug-list
Dataset Card for Every Cure Drug List
Dataset Summary
The Every Cure Drug List is a manually curated list of drug entities used by the MATRIX project for drug repurposing predictions.
For reference, the list contains ~1,800 drugs with metadata including approval status, drug class flags, therapeutic annotations, and ATC classifications.
For more information see here.
Source Data
Attribution
drug-reviews
Dataset Details
1.Dataset Loading:
Initially, we load the Drug Review Dataset from the UC Irvine Machine Learning Repository. This dataset contains patient reviews of different drugs, along with the medical condition being treated and the patients' satisfaction ratings.
2.Data Preprocessing:
The dataset is preprocessed to ensure data integrity and consistency. We handle missing values and ensure that each patient ID is unique across the dataset.
3.Text… See the full description on the dataset page: https://huggingface.co/datasets/Mouwiya/drug-reviews.drug_label_approved_openfda
KEMIRIX OpenFDA Clinical Drug Dataset
Built for KEMIRIX — Africa's first Clinical Decision Support AI
Developer: Emmanuel Bain Oduwo | TechFryz Ltd. | Nairobi, Kenya
Generated: May 2026
Configurations
clean (default): instruction + output only, fully cleaned, ready for fine-tuning Kemirix
raw: full metadata schema, original generated data
Usage
from datasets import load_dataset
# Clean data for training Kemirix
ds =… See the full description on the dataset page: https://huggingface.co/datasets/Oduwo/drug_label_approved_openfda.drug_reviewsdrugchat_liang_zhang_et_al
Dataset Details
Dataset Description
Instruction tuning dataset used for the LLM component of DrugChat.
10,834 compounds (3,8962 from ChEMBL and 6,942 from PubChem) containing
descriptive drug information were collected. 143,517 questions were generated
using the molecules' classification, properties and descriptions from ChEBI, LOTUS & YMDB.
Curated by:
License: BSD-3-Clause
Dataset Sources
corresponding publication
rep & data source
Citation… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/drugchat_liang_zhang_et_al.drug-target-activity
Introduction
This dataset containing measurements of drug-target interactions is provided by EvE Bio, highlighted in an exciting Hugging Face blog post. It is actively being generated with a quantitative screening process, and data for new targets is added every other month. For each target, one or more types of activity (agonism, antagonism, etc.) are measured
for every drug in a 1,397 member compound library that primarily represents FDA approved small molecule drugs. Results… See the full description on the dataset page: https://huggingface.co/datasets/eve-bio/drug-target-activity.DrugbankRawParquetgeom_drugs
GEOM: Molecular Conformations (Drugs Subset)
Note: This is a mirrored and specifically preprocessed version of the GEOM dataset (Drugs subset), originally created by Simon Axelrod and Rafael Gómez-Bombarelli. All credit for the original conformational sampling and DFT calculations goes to the original authors. This repository exists to guarantee availability and exact reproducibility for downstream machine learning projects.
Dataset Description
The Geometric Ensemble… See the full description on the dataset page: https://huggingface.co/datasets/raulsofia/geom_drugs.DrugDiscoveryBench-Preview
DrugDiscoveryBench (Preview)
DrugDiscoveryBench is a benchmark of 82 expert-authored, execution-grounded tasks spanning the early
drug-discovery and life-sciences workflow (target identification & genetics, database screening,
patent mining, cheminformatics, structural reasoning, SAR & affinity, molecular biology). Each task
asks an agent to carry out a multi-step biomedical investigation and produce a terse final answer.
This is the Preview release: task prompts and metadata… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/DrugDiscoveryBench-Preview.drug-reviewsDrugbankVocabularyTDC-DrugADMETDrugDiscoveryBench
DrugDiscoveryBench
DrugDiscoveryBench is a benchmark of 82 expert-authored, execution-grounded tasks spanning the early
drug-discovery and life-sciences workflow (target identification & genetics, database screening,
patent mining, cheminformatics, structural reasoning, SAR & affinity, molecular biology). Each task
asks an agent to carry out a multi-step biomedical investigation and produce a terse final answer,
graded against a ground-truth answer and an outcome + process… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/DrugDiscoveryBench.DrugHub-scrape
DrugHub Market Snapshot, September 2026
A complete, text-only capture of the public listing, vendor, and review pages of
DrugHub, a Monero-only darknet market operating since 2023. Everything here was
visible to any visitor without an account. Doesn't include any images.
Collected 16-17 September 2026. Enriched with model-derived labels
(typesafe/jev-1.13) on 19 September 2026; see the listing_enrichment
table and the Enrichment section below.
What's in it… See the full description on the dataset page: https://huggingface.co/datasets/trentmkelly/DrugHub-scrape.drugchat_liang_zhang_et_al-multimodalMisssing_FR_TTS_ICD_Snomed_drugs_0806
Missing FR TTS ICD Snomed drugs 0506
Dataset TTS pour des termes medicaux manquants. Genere le 2026-06-06.
Contenu
53192 fichiers audio
25295 textes uniques
Edge TTS: 25277 fichiers (voix Denise, Microsoft)
Coqui XTTS: 0 fichiers (2 voix/texte, ~10% des textes)
Source: synthese sur 3x V100-32GB
Format
Les fichiers audio sont dans archives/*.tar.gz.
Le fichier metadata.jsonl est a la racine du dataset.
Stats
Edge TTS: 25277
Coqui… See the full description on the dataset page: https://huggingface.co/datasets/PraxySante/Misssing_FR_TTS_ICD_Snomed_drugs_0806.drug-use-corpus
Drug Use Corpus (Spanish)
Binary classification dataset for drug use detection in Spanish tweets
Drug Use Corpus (Spanish)
This dataset contains Spanish-language tweets related to drug use, specifically focusing on references to marijuana, cocaine, and other substances. The dataset is designed for binary classification tasks in the context of substance use detection in social media discussions.
Dataset Description
The Drug Use Corpus consists of 3,000… See the full description on the dataset page: https://huggingface.co/datasets/lhbelfanti/drug-use-corpus.drug_induced_liver_injury
Dataset Details
Dataset Description
Drug-induced liver injury (DILI) is fatal liver disease caused by drugs
and it has been the single most frequent cause of safety-related drug marketing
withdrawals for the past 50 years (e.g. iproniazid, ticrynafen, benoxaprofen).
This dataset is aggregated from U.S. FDA 2019s National Center for Toxicological
Research.
Curated by:
License: CC BY 4.0
Dataset Sources
corresponding publication
Data source… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/drug_induced_liver_injury.drugsComTest_rawWith a dataset of over 2000 drugs for varying health situations, over 200,000 observations, 7 attributes, and tens of thousands of texts by users of their experience; categorizing these texts will be an extremely difficult task without an efficient algorithm for resolving the problem.
https://www.kaggle.com/
DrugBank-Alpaca