stlqosa.blogg.se - Download mtga

autotagging_moodtheme.tsv (18,486) - mood/theme tags (59 tags).

autotagging_instrument.tsv (25,135) - instrument tags (41 tags).

autotagging_genre.tsv (55,215) - only tracks with genre tags (95 tags), and only those tags.

autotagging_top50tags.tsv (54,380) - only top 50 tags according to tag frequency in terms of tracks.

autotagging.tsv = raw_30sec_cleantags_50artists.tsv - base file for autotagging (after all postprocessing, 195 tags).

tag_map.json - map of tags that we merged.raw_30s_cleantags_50artists.tsv(55,609) - with tags that have at least 50 unique artists.raw_30s_cleantags.tsv(55,701) - with tags merged according to tag_map.json.raw_30s.tsv(55,701) - tracks with duration more than 30s.raw.tsv (56,639) - raw file without postprocessing.This repository contains metadata, scripts, instructions on how to download and use the dataset and reproduce baseline results.Ī subset of the dataset was used in the Emotion and Theme Recognition in Music Task within MediaEval 2019-2021. We provide elaborated data splits for researchers and report the performance of a simple baseline approach on five different sets of tags: genre, instrument, mood/theme, top-50, and overall. The dataset contains over 55,000 full audio tracks with 195 tags from genre, instrument, and mood/theme categories. It is built using music available at Jamendo under Creative Commons licenses and tags provided by content uploaders. We present the MTG-Jamendo Dataset, a new open dataset for music auto-tagging.

The MTG-Jamendo Dataset Metadata, scripts and baselines for the MTG-Jamendo dataset View on GitHub The MTG-Jamendo Dataset The MTG-Jamendo Dataset | mtg-jamendo-dataset Skip to the content.