jasong03/data-upload dataset hosted on Hugging Face and contributed by the HF Datasets community

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Survey for Emergency Management Datasets Hub site users that wish to upload their own or their organisations data. Questions include data type, format, metadata, upload button and contact information in case more information is required to meet the requirements for new dataset registration.

This resource contains a document that provides step-by-step instructional content on how users can upload large files from their personal Google Drive storage directly into the HydroShare system. This method offers an alternative to direct local uploads by leveraging cloud-to-cloud transfers, which are often faster, more stable, and less constrained by internet connection interruptions or file size restrictions in web browsers.

TRAINING DATASET: Hands-On Uploading Data (Download This File)

This directory includes a few sample datasets to get you started.

california_housing_data*.csv is California housing data from the 1990 US Census; more information is available at: https://docs.google.com/document/d/e/2PACX-1vRhYtsvc5eOR2FWNCwaBiKL6suIOrxJig8LcSBbmCbyYsayia_DvPOOBlXZ4CAlQ5nlDD8kTaIDRwrN/pub

mnist_*.csv is a small sample of the MNIST database, which is described at: http://yann.lecun.com/exdb/mnist/

anscombe.json contains a copy of Anscombe's quartet; it was originally… See the full description on the dataset page: https://huggingface.co/datasets/ns-1/sample-data-upload.

The following dataset contains a Cambridgeshire Insight Open Data Portal user guide in pdf format

this is dummy data

This is a PDF document created by the Department of Information Technology (DoIT) and the Governor's Office of Performance Improvement to assist training Maryland state employees on use of the Open Data Portal, https://opendata.maryland.gov. This document covers direct data entry, uploading Excel spreadsheets, connecting source databases, and transposing data. Please note that this tutorial is intended for use by state employees, as non-state users cannot upload datasets to the Open Data Portal.

🇬🇧 영국

Dataset

This dataset was created by Lisa Woodard

Released under CC0: Public Domain

Contents

This layer contains the average upload speed (mbps) per zip code.

Explore the booming File Uploader market forecast (2025-2033), driven by remote work and business digitization. Discover key drivers, segments like Remote Upload, and leading companies in this essential cloud solution.

peopleofverso/test-upload-real-training-data dataset hosted on Hugging Face and contributed by the HF Datasets community

A ZIP of JSON files is needed to upload aligned corpus data to UNIC, with each file structured as the template. Please reach out to unic@dipintra.it for assistance.

Blockchain data query: Data Upload Test

This layer contains the average upload speed (mbps) per County.

Data and Syntax for Mind Upload 3 paper.This is aggregate anonymized data from a larger data-set which is still being used to produce further manuscripts. Therefore, it is not shared in full capacity.Variable names should be self-explanatory.

The data here is a subset of the data published in 10.5281/zenodo.3732359 to be used in GTN 'Upload data to ENA' tutorial.

Human traces have been removed following https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/human-reads-removal/tutorial.html

Data used for spectra inversion of the 2016-2017 central Italy seismic sequence and propagation path attenuation curves, inverted source spectra, appraent source spectra, and the estimated source rupture parameters.