datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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 RGBC dataset for Sri Lankan banknote denomination recognition.
The dataset contains 12,668 paired sensor measurements collected from 634 distinct physical Sri Lankan banknotes across six denominations:
LKR 20
LKR 50
LKR 100
LKR 500
LKR 1000
LKR 5000
Dataset Details
Two TCS34725 color sensors were used to collect red, green, blue, and clear-channel measurements.
Sensor settings:
Integration time: 50 ms
Gain: 4X
Number… See the full description on the dataset page: https://huggingface.co/datasets/vennsa/SLR-NoteSense.Synthetic_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.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.
synthetic-clinical-notespatient_encounters1_notes_preprocessedpatient_encounters1_notes_cleanG22_patient_encounter1_notespatient_encounters1_notesG22_patient_encounter1_notes
