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Dataset Card for "vima"
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ViMD_Dataset
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges (Main EMNLP 2024)
Introduction
This document presents the accompanying dataset for the paper titled "Multi-Dialect Vietnamese: Task, Dataset, Baseline Models, and Challenges". The dataset, referred to as the Vietnamese Multi-Dialect (ViMD) dataset, is a comprehensive resource designed to capture the linguistic diversity represented by 63 provincial dialects spoken across Vietnam. The paper is… See the full description on the dataset page: https://huggingface.co/datasets/nguyendv02/ViMD_Dataset.GeoMeld
🌍 GeoMeld Multi-Modal Earth Observation Dataset (WebDataset)
GeoMeld is a large-scale multi-modal remote sensing dataset introduced in our CVPRW 2026 paper on semantically grounded foundation modeling.
GeoMeld contains approximately 2.5 million spatially aligned samples spanning heterogeneous sensing modalities and spatial resolutions, paired with semantically grounded captions generated through an agentic pipeline.
The dataset is designed to support multimodal representation… See the full description on the dataset page: https://huggingface.co/datasets/vimageiitb/GeoMeld.ViMed-PET-CT
ViMed-PET-CT
📅 Update: April 23, 2026
🐛 Bug Fixes: Corrected field mismatches (blank/missing fields) and date/filename inconsistencies. Restored missing metadata for patient 1701 (Dec 2023).
✨ New Feature: Added English translations of reports (/reports_en) using Gemma-4-26B-A4B-it.
ℹ️ About the dataset
🍴 Forked and optimized compression of dacthai2807/ViMed-PET, converting .npy and chunked zip files into .npz files.
📝 Better annotation and guideline.
📂… See the full description on the dataset page: https://huggingface.co/datasets/thainamhoang/ViMed-PET-CT.ViMed-PET-part1
Dataset description for three years: 2017, 2018, 2019
This dataset contains data from three years (2017, 2018, 2019). Each year has several month folders, which are named as THANG {month}.
Each year folder is compressed into zip files (chunks), each with an average size of approximately 2.5 GB.
Please unzip the .zip files to fully extract all data folders.
Folder structure after extraction
Each folder named THANG {month} of a year is divided into 3 subfolders… See the full description on the dataset page: https://huggingface.co/datasets/dacthai2807/ViMed-PET-part1.vima_raw