datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Asclepius-Synthetic-Clinical-Notes
Asclepius: Synthetic Clincal Notes & Instruction Dataset
Dataset Summary
This dataset is official dataset for Asclepius (arxiv)
This dataset is composed with Clinical Note - Question - Answer format to build a clinical LLMs.
We first synthesized synthetic notes from PMC-Patients case reports with GPT-3.5
Then, we generate instruction-answer pairs for 157k synthetic discharge summaries
Supported Tasks
This dataset covers below 8 tasks
Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes.rednote-xiaohongshu-notes
RedNote (Xiaohongshu) Notes with Engagement and Save Rates
10,427 posts from RedNote (小红书 / Xiaohongshu), across 8 content verticals, with full Chinese post text, four separate engagement metrics, and province-level geography.
Most social datasets give you text and a like count. RedNote separates saves from likes, and that single distinction turns out to measure something the like count cannot.
The finding this dataset exists for
A post can be useful or it can be… See the full description on the dataset page: https://huggingface.co/datasets/FreshCrawl/rednote-xiaohongshu-notes.SLR-NoteSense
SLR-NoteSense
SLR-NoteSense is a dual-sensor red-green-blue-clear (RGBC) dataset for Sri Lankan banknote denomination recognition. The seven-denomination update adds the LKR 2000 class to the original six-denomination dataset.
The dataset contains 14,846 paired acquisition rows from 743 distinct physical banknotes, covering LKR 20, 50, 100, 500, 1000, 2000, and 5000. After applying the documented sensor-settling rule, the stable view contains 14,104 paired measurement rows.… See the full description on the dataset page: https://huggingface.co/datasets/vennsa/SLR-NoteSense.mac-app-store-apps-release-notes
Dataset Card for Macappstore Applications Release Notes
📌 Dataset status: static snapshot (no scheduled updates). This dataset is derived from the December 2023 – January 2024 Mac App Store metadata snapshot and reflects the store as of that period. The dataset is stable and remains available for research use; it is not refreshed on a schedule.
Mac App Store Applications release notes extracted from the metadata from the public API.
Curated by: MacPaw Way Ltd.
Language(s)… See the full description on the dataset page: https://huggingface.co/datasets/macpaw-research/mac-app-store-apps-release-notes.Alcohol_Use_Clinical_Notes_GPT4Contributions: The dataset was created by Dr. Uri Kartoun.
Use Case: Leveraging Large Language Models for Enhanced Clinical Narrative Analysis: An Application in Alcohol Use Detection
Dataset Summary: This dataset contains 1,500 samples of expressions indicating alcohol use or its negation, generated from clinical narrative notes using OpenAI's ChatGPT 4 model. It's designed to support NLP applications that require the identification of alcohol use references in healthcare records.
Text… See the full description on the dataset page: https://huggingface.co/datasets/kartoun/Alcohol_Use_Clinical_Notes_GPT4.soap-notesdutch_nursing_home_notes
dutch_nursing_home_notes
Description
This dataset was previously named dutch_nursing_home_records. The name was changed for consistency, as the term ‘notes’ is more commonly used in the community of clinical NLP
This dataset contains synthetic healthcare data generated for NLP experiments.
It mimics real-world client notes of nursing care homes for machine learning and data analysis.
Data Generation
The script describing the data generation can be found here:… See the full description on the dataset page: https://huggingface.co/datasets/ekrombouts/dutch_nursing_home_notes.open-data-notes
Open Data Notes: synthetic city-service tables
Every value in this dataset is synthetic. The tables describe a fictional city. No real city,
place, survey, organisation or person is described, and the numbers must not be used as facts
about anywhere. They are made for teaching: data cleaning, joins, grouping and simple charts.
table
rows
columns
bus_stop_accessibility_2025.csv
1,240
stop id, name, district, x/y in metres, shelter, bench, step-free access, tactile… See the full description on the dataset page: https://huggingface.co/datasets/ArthT/open-data-notes.sec-structured-notes-424b2
SEC 424B2 structured notes
Each row is one 424B2 prospectus supplement or free writing prospectus filed with the SEC, with a structured note's terms where the filing states them: underlyings, note type, coupon, barrier, cap and principal.
Source: U.S. Securities and Exchange Commission. Rule 424(b)(2) prospectus supplements and free writing prospectuses filed by note issuers.
Update frequency: Daily at the source. This copy holds filings from 4 August 2021 to 25 September 2026;… See the full description on the dataset page: https://huggingface.co/datasets/XOOMAR/sec-structured-notes-424b2.Turkish-Medical-Notes
tipnotlari.wordpress.com Turkish Medical Notes Dataset
Overview
The Turkish Medical Notes Dataset is a collection of medical notes across approximately 40 different specialties, curated from tipnotlari.wordpress.com. This dataset is designed for researchers to utilize in various Natural Language Processing (NLP) projects within the medical domain.
Dataset Details
Total Records: 18,926
Language: Turkish
Columns: Category, Link, Text
Data Structure… See the full description on the dataset page: https://huggingface.co/datasets/AhmetSemih/Turkish-Medical-Notes.MeSH-CZ-2025-notes
MeSH-CZ-2025-notes - training dataset
Czech translation of Medical Subject Headings version 2025
Download more MeSH-CZ data here @ nlk.cz
License
MeSH-CZ-2025 - training dataset © 2025 by National Medical Library
is licensed under Creative Commons Attribution 4.0 International
Structure
"text1","text2","value","category"
"term1","definition/note","0.5","cat1|cat2"
category - multiple values-codes separated by a pipe… See the full description on the dataset page: https://huggingface.co/datasets/NLK-NML/MeSH-CZ-2025-notes.2023-1000-software-release-notesSEC-10Q-10K-Notes_DataEndocrinology_transcription_and_notesAsclepius-Synthetic-Clinical-Notes
Asclepius: Synthetic Clincal Notes & Instruction Dataset
Dataset Summary
This dataset is official dataset for Asclepius (arxiv)
This dataset is composed with Clinical Note - Question - Answer format to build a clinical LLMs.
We first synthesized synthetic notes from PMC-Patients case reports with GPT-3.5
Then, we generate instruction-answer pairs for 157k synthetic discharge summaries
Supported Tasks
This dataset covers below 8 tasks
Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/Xavier1234/Asclepius-Synthetic-Clinical-Notes.dummy_case_notesSynthetic_Medical_NotesDataset Card: Synthetically Generated Medical Notes
Dataset Name
Synthetic_Medical_Notes
Description
This dataset comprises synthetically generated medical notes, designed to provide a privacy-preserving resource for natural language processing (NLP) research and development in the healthcare domain. It aims to mimic the structure and linguistic patterns of real clinical documentation, enabling the training and evaluation of models without direct access to sensitive patient information.… See the full description on the dataset page: https://huggingface.co/datasets/Ihssane123/Synthetic_Medical_Notes.Clinical_Notes_benchmark_2025
Clinical Notes Dataset (Multidomain, De-identified)
Dataset Overview
This dataset consists of de-identified clinical notes written in formal medical language,
covering a wide range of healthcare domains including general medicine, pediatrics,
gynecology, cardiology, neurology, endocrinology, respiratory, gastrointestinal,
musculoskeletal, and dermatological contexts.
The notes are structured to reflect realistic outpatient, follow-up, telemedicine,
and review-style… See the full description on the dataset page: https://huggingface.co/datasets/vickyvamsi22/Clinical_Notes_benchmark_2025.tcga-path-notesTCGA_Reports.csv: cleaned text extracted from TCGA reports. From Kefeli et al.
mmc1.xlsx: Survival data for TCGA. From Liu et al.
Training-Illness-unique_symptoms-symptoms-notespatient_encounters1_notes_preprocessedAsclepius-Synthetic-Clinical-Notes
Asclepius: Synthetic Clincal Notes & Instruction Dataset
Dataset Summary
This dataset is official dataset for Asclepius (arxiv)
This dataset is composed with Clinical Note - Question - Answer format to build a clinical LLMs.
We first synthesized synthetic notes from PMC-Patients case reports with GPT-3.5
Then, we generate instruction-answer pairs for 157k synthetic discharge summaries
Supported Tasks
This dataset covers below 8 tasks
Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/LampsteR/Asclepius-Synthetic-Clinical-Notes.dataset-quality-notes
Dataset Quality Notes
A worked method for deciding whether a public time-series dataset can carry a backtest — with the
measurements that came out of applying it. 18 datasets assessed, updated 2026-07-30.
Datasets are listed by CATEGORY, not by name. The point here is the method and the failure modes,
not a directory of links: a name invites "is mine on the list?", while a category invites you to run
the checks on whatever you are about to use.
The four questions… See the full description on the dataset page: https://huggingface.co/datasets/Altarino1/dataset-quality-notes.soap_notes
Dataset Card for SOAP
synthetic-clinical-notesimage-editing-model-notes
Image Editing Model Notes
Working notes on image-generation and prompt-based editing models.
I’m mainly interested in what happens after the first good-looking image:
whether the model follows small editing instructions
whether faces and expressions remain consistent
whether untouched objects quietly change
how well models handle text replacement
whether exact object counts are respected
how lighting edits affect skin and image texture
A visually strong result is not always a… See the full description on the dataset page: https://huggingface.co/datasets/drifterAI3000/image-editing-model-notes.2023-3-software-release-notesnbme_patient_notesG22_patient_encounter1_notespatient_encounters1_notes_clean