datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
football_matcheswider
WiDe-Analysis Dataset
This is the dataset for WiDe Analysis Extended version
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
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Demo… See the full description on the dataset page: https://huggingface.co/datasets/hsuvaskakoty/wider.wide-eye-b24176
wide-eye-b24176
Synthetic products test data: 60 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/graniteGlade/wide-eye-b24176.Ski_Resorts_World_Wide
Ski Resorts Worldwide - Exploratory Data Analysis (EDA)
Author: Omer Gonen
Course: Introduction to Data ScienceAssignment: EDA & Dataset AnalysisDataset Source: Kaggle – Ski Resorts Worldwide DatasetDataset Size: ~5,478 rows × 33 columns
Project Goal
The goal of this project is to explore ski resorts worldwide to understand how physical terrain characteristics influence resort quality ratings.
This analysis investigates the relationship between measurable resort… See the full description on the dataset page: https://huggingface.co/datasets/Gonen8/Ski_Resorts_World_Wide.wide_analysis
Wiki Deletion Discussion Dataset
This dataset contains Deletion discussions for Wikipedia articles with their resolutions as corresponding labels. The dataset contains 3 fields: Title of the Article, Deletion discussion, and Resolution of the discussion as Label. This is a multi-class classification dataset with the following Labels:
"keep": The article should be kept as it is.
"delete": The article should be deleted.
"merge": The article should be merged with another article.… See the full description on the dataset page: https://huggingface.co/datasets/hsuvaskakoty/wide_analysis.