datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sonar-rock-mineThe Sonar Rock Mine is a well-known benchmark dataset in the field of machine learning and pattern recognition, originally collected for the purpose of distinguishing between mines (M) and rocks (R) using sonar signals.
Dataset Overview:
File: raw_sonar.csv
Number of Features: 60 continuous numerical values per instance
Target Label: One class label at the end of each row, either:
M → Mine (target object: simulated sea mine)
R → Rock (non-mine object)
Total Instances: The dataset… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/sonar-rock-mine.Aperture_Lab_Synthetic_Aperture_Sonar_v1
ApertureLab Synthetic SAS Dataset
Version 1.0 (September 2026). Author: Isaac Gerg. Made with
ApertureLab; samples, statistics and the
generation pipeline are described on the
dataset page.
1000 simulated synthetic aperture sonar (SAS) images, each an 80 m along-track
by 200 m range swath from a HISAS 1030-class 100 kHz sonar on a straight
track, beamformed by time-domain back-projection at 2.5 cm pixels and
delivered as dynamic-range-compressed (DRC) TIFF LZW images with COCO… See the full description on the dataset page: https://huggingface.co/datasets/idg101/Aperture_Lab_Synthetic_Aperture_Sonar_v1.sonarsri-lankan-medical-institutional-data
Sri Lankan Medical Institutional Data (2024)
Dataset Description
This dataset accompanies the research paper:
Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka
The dataset consolidates district-level healthcare infrastructure, disease burden, demographic statistics, and hospital geospatial information collected from official Sri Lankan government publications for the year 2024. It was developed to support reproducible research… See the full description on the dataset page: https://huggingface.co/datasets/sonath0427/sri-lankan-medical-institutional-data.sonajaht
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
BibTeX entry and citation info
@inproceedings{dorkin-sirts-2024-sonajaht,
title = "S{\~o}najaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation",
author = "Dorkin, Aleksei and
Sirts, Kairit",
editor = "Bollegala, Danushka and
Shwartz, Vered",
booktitle = "Proceedings of the 13th Joint Conference on Lexical and Computational Semantics… See the full description on the dataset page: https://huggingface.co/datasets/adorkin/sonajaht.FictionalCharacters