datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MA_Query_Expansion_MLT26gold-price
FINAL_USO Dataset
Overview
The FINAL_USO dataset is a comprehensive collection of financial data, including stock prices, volumes, and other relevant metrics for various market indices and individual securities. This dataset is particularly suited for financial analysis, time series forecasting, and market trend analysis.
Dataset Structure
The dataset is provided as a single CSV file named FINAL_USO.csv. It contains 1,718 entries and 80 columns, each… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/gold-price.reddit-mlt-dataset-balancedHerems2.5-MLT-Balanced-GScore-0.0-0.4-MLT150PlusHerems2.5-MLT-LengthBalancedyaruo-mlt-aa
Japanese AA (Shift_JIS art) — MLT収集所 collection v32.0
1,381,069 individual AA pieces parsed from the 15,002 MLT compilation files of the
やる夫スレ用MLT収集所
(Yaruo-thread MLT Collection), the community-maintained archive of 2channel/5channel
ASCII art. Obtained from the collection's official まとめzip
(mlt_v32_0.zip, 2026-06-27, distributed via AAHub /
AAMZ Viewer).
This is, to our knowledge, the largest machine-readable corpus of human-made text art
ever assembled: ~25 years of Japanese… See the full description on the dataset page: https://huggingface.co/datasets/1anon8anon1/yaruo-mlt-aa.ml-tagswine-clustering
Wine Clustering Dataset
Overview
The Wine Clustering Dataset contains data on various chemical properties of wines, intended for use in clustering tasks. This dataset is ideal for exploring clustering algorithms such as K-Means, hierarchical clustering, and others, to group wines based on their chemical composition.
Dataset Structure
The dataset is provided as a single CSV file named wine-clustering.csv. It contains 178 entries, each representing a unique wine… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/wine-clustering.reddit-mlt-datasetfleurs_mlt_benchmarkreddit-mlt-dataset-balanced-no-subHerems2.5-MLT-Balanced-Question-typeml_twoHerems2.5-MLT-Balanced-GScore-0.0-1.0-MLT150PlusMLTC