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README.md

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----
-license:
-- cc
-multilinguality:
-- other-music
-pretty_name: Mutopia Guitar Dataset
-task_categories:
-- text-generation
-task_ids:
-- language-modeling
----
-
-# Mutopia Guitar Dataset
-
-## Table of Contents
-- [Dataset Card Creation Guide](#mutopia-guitar-dataset)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-
-## Dataset Description
-
-- **Homepage:** [Mutopia Project](https://www.mutopiaproject.org/)
-- **Repository implementation of the paper:** [MMM: Exploring Conditional Multi-Track Music Generation with the Transformer and the Johann Sebastian Bach Chorales Dataset](https://github.com/AI-Guru/MMM-JSB)
-- **Based on Paper:** [MMM: Exploring Conditional Multi-Track Music Generation with the Transformer](https://arxiv.org/abs/2008.06048)
-- **Point of Contact:** [Juan Carlos Piñeros](https://www.linkedin.com/in/juancarlospinerosp/)
-
-### Dataset Summary
-
-Mutopia guitar dataset consists of the soloist guitar pieces of the [Mutopia Project](https://www.mutopiaproject.org/). I encoded the MIDI files into text tokens using the excellent [implementation](https://github.com/AI-Guru/MMM-JSB) of Dr. Tristan Beheren of the paper: [MMM: Exploring Conditional Multi-Track Music Generation with the Transformer](https://arxiv.org/abs/2008.06048). 
-
-The dataset mainly contains guitar music from western classical composers, such as Sor, Aguado, Carcassi, and Giuliani.
-
-### Supported Tasks and Leaderboards
-
-Anyone interested can use the dataset to train a model for symbolic music generation, which consists in treating symbols for music sounds (notes) as text tokens. Then, one can implement a generative model using NLP techniques, such as Transformers.
-
-## Dataset Structure
-
-### Data Instances
-
-Each guitar piece is represented as a line of text that contains a series of tokens, for instance:
-
-PIECE_START: Where the piece begins
-PIECE_ENDS: Where the piece ends
-TIME_SIGNATURE: Time signature for the piece
-BPM: Tempo of the piece
-BAR_START: Begining of a new bar
-NOTE_ON: Start of a new musical note specifying its MIDI note number
-TIME_DELTA: Duration until the next event
-NOTE_OFF: End of musical note specifying its MIDI note number
-
-```
-{
-  'text': PIECE_START TIME_SIGNATURE=2_4 BPM=74 TRACK_START INST=0 DENSITY=4 BAR_START NOTE_ON=52 TIME_DELTA=2.0 NOTE_OFF=52 NOTE_ON=45 NOTE_ON=49 TIME_DELTA=2.0 NOTE_OFF=49 NOTE_ON=52 TIME_DELTA=2.0 NOTE_OFF=45 NOTE_ON=47 NOTE_OFF=52 NOTE_ON=44 TIME_DELTA=2.0,
-  ...
-}
-```
-
-### Data Fields
-
-- `text`: Sequence of tokens that represent the guitar piece as explained in the paper [MMM: Exploring Conditional Multi-Track Music Generation with the Transformer](https://arxiv.org/abs/2008.06048).
-
-### Data Splits
-
-There are, at this moment, 395 MIDI guitar files in the Mutopia Project. I removed files of pieces that were not music for soloist guitar. After this removal, there were 372 MIDI files.
-
-I used an 80/20 split and augmented the training dataset by transposing the piece 1 octave above and below (24 semitones). The final result is then:
-
-**Train dataset:** 7325 pieces
-**Test dataset:** 74 pieces

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