Omkar2118/datasets huggingface dataset:
ForeDeCk

**ForeDeCk** is a time series database compiled at the National Technical University of Athens that contains 900,000 continuous time series, built from multiple, diverse and publicly accessible sources. ForeDeCk emphasizes business forecasting applications, including series from relevant domains such as industries, services, tourism, imports & exports, demographics, education, labor & wage, government, households, bonds, stocks, insurances, loans, real estate, transportation, and natural resources & environment.

Source: [Are forecasting competitions data representative of the reality?](https://www.sciencedirect.com/science/article/abs/pii/S0169207019300159)
MUSDB18-HQ

**MUSDB18-HQ** is a high-quality version of the MUSDB18 music tracks dataset. The high-quality dataset consists of the same 150 songs, but instead of MP4 files (compressed with Advanced Audio Coding encoder at 256kbps, with bandwidth limited to 16kHz), the songs are provided as raw WAV files.
Image Source: [https://sigsep.github.io/datasets/musdb.html](https://sigsep.github.io/datasets/musdb.html)
Slakh2100
Full name: Synthesized Lakh Dataset

The Synthesized Lakh (Slakh) Dataset is a dataset for audio source separation that is synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments. This first release of Slakh, called **Slakh2100**, contains 2100 automatically mixed tracks and accompanying MIDI files synthesized using a professional-grade sampling engine. The tracks in Slakh2100 are split into training (1500 tracks), validation (375 tracks), and test (225 tracks) subsets, totaling 145 hours of mixtures.

Source: [http://www.slakh.com/](http://www.slakh.com/)
Image Source: [http://www.slakh.com/](http://www.slakh.com/)
Audio Source: [http://www.slakh.com/](http://www.slakh.com/)

Introducing paper: Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
GuitarSet

**GuitarSet** is a dataset of high-quality guitar recordings and rich annotations. It contains 360 excerpts 30 seconds in length. The 360 excerpts are the result of the following combinations:

* 6 players,
* 2 versions: comping and soloing,
* 5 styles: Rock, Singer-Songwriter, Bossa Nova, Jazz, and Funk,
* 3 progressions: 12 Bar Blues, Autumn Leaves, and Pachelbel Canon,
* 2 tempi: slow and fast.

Each excerpt is annotated with 6 pitch contour and midi note annotations (one per string), 2 chord annotations (instructed and performed), beat and tempo annotations.

Source: [https://guitarset.weebly.com/](https://guitarset.weebly.com/)
Audio Source: [https://zenodo.org/record/3371780](https://zenodo.org/record/3371780)

Introducing paper: GuitarSet: A Dataset for Guitar Transcription
Mixing Secrets

**Mixing Secrets** is an instrument recognition dataset containing 258 multi-track recordings sourced from the [Mixing Secrets for The Small Studio]( https://www.cambridge-mt.com/ms/mtk/) website. The dataset was labelled to be consistent with MedleyDB format.

Source: [Mixing secrets: a multi-track dataset for instrument recognition in polyphonic music](None)
Image Source: [Mixing secrets: a multi-track dataset for instrument recognition in polyphonic music](None)
Audio Source: [https://multitracksearch.cambridge-mt.com/ms-mtk-search.htm](https://multitracksearch.cambridge-mt.com/ms-mtk-search.htm)