Welcome to the Humdrum Data meta-repository – your gateway to a rich collection of Humdrum files sourced from various GitHub repositories. This platform allows you to download and manage diverse datasets of musical scores on your local computer, providing a flexible structure for finding and doing computational research with pre-existing datasets. You can also contribute your own Humdrum datasets by posting them on GitHub and submitting a request for them to be added to this meta-repository.
Whether you're a seasoned Unix user or a newcomer, this repository simplifies the process of acquiring Humdrum files for your musical endeavors. This introduction guides you through essential information, instructions for installation, and tips on customizing your dataset downloads.
Currently this repository manages 26,450 files containing 18,394,282 sounding notes, with a total file size of 380.2MB.
For experienced unix users, here are instructions for downloading Humdrum files using this repository:
git clone https://github.com/humdrum-tools/humdrum-data
cd humdrum-data
makeTo stay up-do-date, you can run make check-update (or make cu for short)
to see if any online repositories have changed since you last downloaded them.
Then, to update all repositories, run in the terminal:
make clean
makeThis will delete all downloaded repository files (any files you have in any local directories will not be deleted) and then re-download the entire dataset again, restored to their original local directories. Any of your own files in the local directory structure will be preserved during this process.
If you have downloaded specific data subsets, such as the sonatas
dataset of Classical-era piano
sonatas,
then you will have to re-download them after make clean as well:
make sonatasOtherwise, see the following documentation more detailed instructions for downloading.
This repository uses the git and make commands, so they need to be installed on your computer before you can download the Humdrum files. The minimum version of git that can be used is 2.25 from 2020.
If you are using a Mac, these two programs can best be installed
automatically by installing Homebrew, which is
a unix package manager for MacOS. When you install Homebrew, git
is installed automatically (along with the make command).
For linux computers, including Ubuntu in
WSL2 on
MS Windows, you may need to install the development tools if make
is not installed. To check if make is installed, type:
which makeThe computer should reply with the location of the make command,
with a good response being something like:
/usr/bin/make
If the which command
does not return any location, then make is not installed.
How to install make will be slightly different in various Linux
flavors, which includes these main possibilities:
| Linux Flavor | Installation Command |
|---|---|
| Ubuntu | sudo apt-get install build-essential |
| Debian | sudo apt-get install build-essential |
| Fedora | sudo dnf groupinstall "Development Tools" |
| CentOS | sudo yum groupinstall "Development Tools" |
| RHEL | sudo yum groupinstall "Development Tools" |
| openSUSE | sudo zypper install --type pattern devel_basis |
| Arch Linux | sudo pacman -S base-devel |
If the version of Linux you use is not in the list, either try one of the above commands or determine which package manager is used in your version of linux.
This also applies to git, which would be installed in a similar
manner as make, such as sudo apt-get install git in Ubuntu.
Note that git 2.25.0 (2020) is the minimum version of git that
can be used with this repository. You can check your version of
git with the command:
git --versionA good reply would be something like this:
git version 2.39.2 (Apple Git-143)
Upgrade your version of git if it is less than version 2.25 before
trying to download files for this repository.
First download this repository using git (although downloading from GitHub as a ZIP file also works), typing in the terminal:
git clone https://github.com/humdrum-tools/humdrum-dataThis will create a subdirectory in the current working directory called
humdrum-data. Next, move into the repository directory with this
command:
cd humdrum-dataTo download all available Humdrum digital scores, type this command in the base directory of this repository:
makeThis will download all repositories found in the file .lists/LIST.txt. The .lists directory also contains other lists of data subsets that can be downloaded individually if you do want specific datasets only, or alternate arrangements of the complete dataset.
| Make target | Description |
|---|---|
make |
Download all repository files |
make 1520s-short |
The 1520s Project digital scores, ID only filenames |
make 1520s |
The 1520s Project digital scores |
make cantopop |
A corpus of Cantonese popular music, 2000–2020 |
make chant |
Chant-based scores |
make chorales |
370 J.S. Bach four-part harmonized chorales |
make densmore |
Native American songs collected by Francis Densmore |
make essen |
Essen Folksong Collection |
make joplin |
Piano music by Scott Joplin |
make jrp |
Josquin Research Project digital scores |
make nifc |
Digital scores from The Fryderyk Chopin Institute (Chopin first editions (POPC1) and Polish Musical Heritage (1600-1900) (POPC2)) |
make polish-composers |
Composers represented in Polish archives |
make popc2-short |
Polish Music Heritage digital scores, ID only filenames |
make popc2 |
Polish Music in Open Access digital scores |
make psalms |
Psalm settings |
make seils |
SEILS dataset of Renaissance music |
make sonatas |
Classical piano sonatas of Beethoven (complete), Mozart (complete), and Haydn (selections) |
make starwars |
Star Wars themes |
make tasso-composers |
Composers represented in Tasso in Music project dataset |
make tasso-publication-year |
Tasso in Music Project data organized by publication date |
make tasso |
Tasso in Music Project digital scores |
make tonerows |
Tonerows used by Schoenberg, Berg and Webern |
To update this meta-repository using git, type:
git pullOtherwise, if you downloaded as a ZIP file, re-download a new ZIP file from the repository's homepage on GitHub.
If you have changed any files of the repository files (LIST in
.lists or scripts in bin, then check to see what files you have changed:
git statusAnd to see the change in contets of the files:
git diffIf you have changes you do not want to keep, type:
git checkoutto remove any local changes (this will not change untracked files you may have add to the local directory).
Then you will be able to run:
git pullto update the meta-repository. This could possibly include additions
to
.lists/LIST.txt
or new LIST files for data subsets. Also, enhancements and bug
fixes to the Makefile and scripts in the bin directory may be
available through an update using git pull.
To check if any of the downloaded repositories have been updated
on GitHub since you last downloaded the repositories, use the
command, type make check-update or make cu for short. This
command will report any online repositories that are more recent
than the copy you downloaded. Currently to update, you need to
run:
make clean
make
Which will re-download all repositories, including ones that do not need updating. In the future, a system to only download repositories that have online updates may be implemented.
If you store your own files in an existing local directory or a
directory that you created, they will not be deleted when make clean is run. This is accomplished by storing repository files
as symbolic links, and only symbolic links will be deleted when
changing the downloaded file structure. For example, if you have
any of your own analysis files in beethoven/piano/sonata, they
will remain after running make clean. Running make will restore
any updates for any repository files in the same directory.
Any edits you make to the downloaded repsitories will be lost
if you type make clean unless you copy the file first, such as
in the Beethoven sonatas directory:
cp -L sonata01-1.krn my-sonata01-1.krnThe -L option will conver the symbolic link from the
downloaded repository into a real file, and real files are
not deleted by make clean.
Each local directory contains a file called .info that includes
a hyperlink to the source GitHub repository for files in the
directory. If there are files from multiple repositories merged
into the same directory, there will be multiple .info files, such
as .info2 for a second merged repository directory, .info3 for
the third, and so on.
For example, if you run make sonatas, a directory called sonatas
will be created in the base directory of this repository with three
.info files (including .info2 and .info3), giving information
about each source repository. Below is the contents of .info2
for the Mozart sonatas in the sonatas dataset:
!!!source: https://github.com/craigsapp/mozart-piano-sonatas
!!!download-date: 2024-10-17 06:32:30 +0200
!!!last-commit: https://github.com/craigsapp/mozart-piano-sonatas/tree/71b5b1f2
!!!last-commit-date: 2024-06-06 23:51:39 -0700
!!!repository-license: https://github.com/craigsapp/mozart-piano-sonatas/blob/main/LICENSE.txt
!!!repository-readme: https://github.com/craigsapp/mozart-piano-sonatas/blob/main/README.md
!! vim: ts=39:nowrap
!!
!! Directories downloaded from this repository are listed below.
!!
!! Meaning of the spines:
!! **sound = Number of sounding notes in the copied files. If entry
!! is a null token, then the Humdrum Extras notecount tool
!! was not available when the repository was downloaded.
!! **files = Number of files in the copied directory.
!! **bytes = Size of files copied to local directory in bytes.
!! **branch = Repository branch from which files were copied.
!! **from = The subdirectory in the download repository listed in the
!! "source" reference record above that files were copied from.
!! A null token means the root of repository working directory.
!! **to = The subdirectory in the repository lised in the source
!! reference record above that files were copied from.
!! A null token means the root of target directory.
!! **prefix = Prefix string to add to copied filename (if any).
!! **suffix = Suffix string to add to copied filename (if any).
!! **filter = Copy only files with given PERL/JavaScript regex.
!! **xfilter = Exclude files with the given PERL/JavaScript regex.
!! **content = Include files with contents that match the given
!! PERL/JavaScript regex.
!! **sar = sed-like search and replacement for filename (before
!! prefix and suffix are added). Multiple SAR entries
!! can be given, separated by semicolons (;).
!!
**sound **files **bytes **branch **from **to **prefix **suffix **filter **xfilter **content **sar
96635 69 1027353 main kern mozart/piano/sonata mozart- . . . . .
*- *- *- *- *- * *- *- *- *- *- *-There are six reference records in info files:
| Reference key | Meaning |
|---|---|
source |
URL for the source repository for the Humdrum files on GitHub. |
download-date |
Date that the source repository was downloaded onto the local computer. |
last-commit |
URL to the specific version of the repository that was downloaded. |
last-commit-date |
Last commit date of the repository when it was downloaded. |
repository-license |
URL to License information for the repository (if any). |
repository-readme |
URL to Readme file for the repository (if any). |
Humdrum data describing the number of notes, number of copied files,
and the sizes of the file, will be added in the data section of the
info files below these reference records, as well as input parameters
for normalizing filenames and including/excluding files within the
copied directory files. In the above example there is a single
directory of files, so there is only one line of data in the .info
file. Other repositories may have multiple directories of data
that are copied into different local directories, and each line of
data in the info files will record information about each repository
subdirectory that was copied.
Note that the info file sonatas/.info2 is the same as in the
entire default dataset download for mozart/piano/sonatas/.info.
In the main downloadable dataset, the three source repositories for
make sonatas are stored in separate directories
(beethoven/piano/sonata, mozart/piano/sonata and haydn/piano/sonata).
The make sonatas target demonstrates how to merge multiple
repositories, as well as making the filenames unique by prefixing
the source composer name to each filename (since filenames between
these three repositories are not unique). See the
LIST-sonatas.txt
for an example of how to do this using the **prefix parameter.
On the GitHub webpage for the source repository webpage of files
listed in the info files, there should be a README file describing
the data set as well as any licensing information (Humdrum files
should also contain reference records for this information, in
particularly YEC (copyright notice) and YEM (license)). If one
or both of these files are found, then their URLs will appear in
the repository-license and repository-readme reference records
of an info file.
Here is a table of repositories that are currently available within the main download list:
| Notes | Files | Size | Repository owner | Repository name |
|---|---|---|---|---|
| 404,209 | 416 | 4MB | benory | 1520s-project-scores |
| 440,222 | 8,379 | 5.4MB | ccarh | essen-folksong-collection |
| 145,084 | 939 | 12.9MB | Computational-Cognitive-Musicology-Lab | CoCoPops |
| 0 | 124 | 1.8MB | 〃 | MCFlow |
| 1,932 | 65 | 64.4KB | 〃 | Star-Wars-Thematic-Corpus |
| 1,482 | 1 | 15.7KB | craigsapp | Musikalisches-Wuerfelspiel |
| 30,482 | 20 | 299.3KB | 〃 | art-of-the-fugue |
| 84,624 | 370 | 1004.5KB | 〃 | bach-370-chorales |
| 10,850 | 6 | 112.7KB | 〃 | bach-musical-offering |
| 259,692 | 103 | 2.5MB | 〃 | beethoven-piano-sonatas |
| 234,252 | 71 | 3.2MB | 〃 | beethoven-string-quartets |
| 54,917 | 52 | 529.2KB | 〃 | chopin-mazurkas |
| 18,705 | 24 | 162.4KB | 〃 | chopin-preludes |
| 8,552 | 152 | 150.9KB | 〃 | creighton-nova-scotia |
| 16,091 | 245 | 329.3KB | 〃 | densmore-teton-sioux |
| 62,741 | 232 | 538.1KB | 〃 | erk-liederschatz |
| 35,349 | 25 | 377.1KB | 〃 | haydn-piano-sonatas |
| 3,320 | 24 | 53.4KB | 〃 | hummel-preludes |
| 68,545 | 47 | 558KB | 〃 | joplin |
| 96,635 | 69 | 1003.3KB | 〃 | mozart-piano-sonatas |
| 68,489 | 65 | 739.7KB | 〃 | scarlatti-keyboard-sonatas |
| 43,274 | 201 | 231KB | DDMAL | Flexible_harmonic_chorale_annotations |
| 3,419 | 22 | 33.3KB | hleveillegauvin | KernScores |
| 92,207 | 96 | 825.9KB | humdrum-tools | bach-wtc |
| 14,113 | 33 | 100.5KB | 〃 | barbershop |
| 1,824 | 38 | 25.2KB | 〃 | child-ballads |
| 4,599 | 38 | 30.6KB | 〃 | foster-songs |
| 7,543 | 29 | 51.6KB | 〃 | gershwin-songs |
| 17,577 | 30 | 152.8KB | 〃 | inventions |
| 9,145 | 60 | 76.7KB | 〃 | liber-usualis |
| 338,788 | 1,995 | 8.5MB | 〃 | liber-usualis-ddmal |
| 4,842 | 35 | 59.9KB | 〃 | schubert-songs |
| 1,032 | 86 | 43.7KB | 〃 | tonerow |
| 39,729 | 105 | 805.6KB | jasonleeubc | Cantopop-corpus |
| 19,851 | 10 | 190.3KB | josquin-research-project | Agr |
| 47,922 | 86 | 742.9KB | 〃 | Ano |
| 275 | 1 | 7KB | 〃 | Bin |
| 22,999 | 6 | 533.9KB | 〃 | Bru |
| 33,458 | 68 | 363.9KB | 〃 | Bus |
| 10,941 | 27 | 101KB | 〃 | Com |
| 7,608 | 5 | 164.1KB | 〃 | Das |
| 34,742 | 37 | 685KB | 〃 | Duf |
| 1,150 | 2 | 16.3KB | 〃 | Fry |
| 5,895 | 5 | 111.3KB | 〃 | Fva |
| 102,339 | 110 | 1.9MB | 〃 | Gas |
| 10,297 | 5 | 105.3KB | 〃 | Isa |
| 9,835 | 22 | 93.6KB | 〃 | Jap |
| 499,273 | 475 | 6.1MB | 〃 | Jos |
| 95,605 | 122 | 877.9KB | 〃 | Mar |
| 23,603 | 15 | 233.1KB | 〃 | Obr |
| 87,879 | 98 | 1.1MB | 〃 | Oke |
| 52,863 | 44 | 681.8KB | 〃 | Ort |
| 5,620 | 5 | 125.7KB | 〃 | Pip |
| 6,012 | 4 | 108.4KB | 〃 | Reg |
| 200,915 | 172 | 2MB | 〃 | Rue |
| 19,127 | 19 | 186.4KB | 〃 | Tin |
| 103,866 | 21 | 1MB | musedata | humdrum-bach-brandenburg |
| 43,971 | 185 | 650.1KB | 〃 | humdrum-bach-chorales-185 |
| 146,369 | 250 | 1.3MB | 〃 | humdrum-corelli |
| 338,549 | 210 | 2.8MB | 〃 | humdrum-haydn-quartets |
| 157,809 | 24 | 2.2MB | 〃 | humdrum-haydn-symphonies |
| 151,828 | 82 | 1.3MB | 〃 | humdrum-mozart-quartets |
| 23,143 | 46 | 438.4KB | 〃 | vivaldi |
| 1,115,811 | 512 | 14.6MB | pl-wnifc | humdrum-chopin-first-editions |
| 11,979,014 | 7,961 | 284.7MB | 〃 | humdrum-polish-scores |
| 17,163 | 84 | 734.4KB | polyrhythm-project | rds-scores |
| 0 | 30 | 379.3KB | SEILSdataset | SEILSdataset |
| 65,796 | 915 | 987.8KB | shanahdt | densmore |
| 312,859 | 495 | 6.1MB | TassoInMusicProject | tasso-scores |
| 13,018 | 50 | 268.7KB | WolfgangDrescher | lassus-geistliche-psalmen |
| 2,612 | 50 | 78.7KB | 〃 | ulenberg-psalmen-davids |
You can create your own list of repositories to download by creating
a file in the .lists directory, such as .lists/LIST-mylist.txt.
Then run make mylist to download your own curation of Humdrum
files downloaded from GitHub repositories. Alternatively, edit
.lists/LIST.txt
to arrange the downloaded repositories in a directory organization
of your choice (see the **to parameter below).
Configuration parameters for downloading GitHub repositories to the
local computer that the LIST files recognize:
Required parameters:
| Spine | Meaning |
|---|---|
**ghname |
The name of the owner account where the repository to download resides. |
**ghrepo |
The name of the repository to download from. |
**from |
The name of the subdirectory in the GitHub repository to copy from (this can be a null token if files are located in the root directory of the GitHub repository, but see also the **filter parameter to exclude non-Humdrum files. |
**to |
The name of the local directory into which the Humdrum files should be copied (not allowed to be the base directory of this repository). |
Optional parameters:
| Spine | Meaning |
|---|---|
**prefix |
A string that should be prefixed to each copied filename. This is useful when merging multiple files into a single local directory where filenames within the multiple sources repositories that are do not have unique filename. |
**suffix |
Similar to the prefix parameter, but added to the end of the copied file. This is useful when the repository files do not have a file extension, and you want to append ".krn" to the end of each filename. |
**filter |
Allow only files matching the given regular expression to be copied into the local directory from the downloaded repository. |
**xfilter |
Exclude files matching the given regular expression from being copied into the local directory (such as \.pdf$ to exclude PDF files). |
**sar |
A search-and-replace string to do more complicated renaming of copied files. The form of the string should be like the sed command-line tool, such as s/match/replace/g. Multiple entries can be separated by a semi-colon (;). |
Parameters spines can be placed in any order and optional ones may
be omitted. See example uses of these parameters in the sample
LIST files found in the
.lists
directory.
If you want a GitHub Humdrum digital score repository to be included
in the default list that is installed with the make command,
submit a request on the
issues page
of this repository, giving the necessary parameters described above.
The final copy to the local directory structure should only contain
valid Humdrum files containing only the characters [A-Za-z0-9._-],
i.e. POSIX compliant names (use the prefix, suffix, filter, xfilter
and sar to adjust if necessary). More complicated filtering and renaming
can be found in the densmore
LIST file.
As a side note, it is useful to add the topic
tags
humdrum and digital-scores to your repository. To add topics to your
repository, click on the gear icon next to the About section on the repository
home page (near the top left, but below the "Settings" gear icon):
In the above example, humdrum and digital-scores have been
added to the Topics field.
To search GitHub repositories by topic, do the following search (by clicking on the magnifying glass at the top of a repository page):
In other words, type topic:humdrum topic:digital-scores to search by
these two topics. Here is the search results page for these two topics:
Here is a direct link to the search page for the humdrum + digital-scores topics:
https://github.com/search?q=topic%3Ahumdrum%20topic%3Adigital-scores&type=repositories
48 GitHub repositories are currently labeled with these topics.
If you do this, your repository may be encountered and added to the main repository without prompting. 😉
To update local files from current versions of the Github repositories, the current method is to first remove the existing downloaded files and then reinstall them:
make clean
makeOr run the make command selecting a particular data subsets in the
.lists directory LIST files that your previously downloaded, such as:
make clean
make sonatasNote that running make clean will remove the data subsets as well
as the full set, but any of your local files that may be intermingled
with the repository files will be preserved by the updating process.
Running make or any subset LIST such as make sonatas will restore
updated versions of the files from GitHub.
If you want to keep the current version of files in a local directory
(such as the same copy of the files used to generate results in a
paper), you can copy the directory before running make clean:
make joplin
cp -RL joplin joplin-20240229The joplin-20240229 directory will have resolved symbolic links
to the source files and will not be deleted when make clean is
run.
The cp -RL method is also useful if you want to copy of the Humdrum
files outside of the humdrum-data directory. All downloaded files
are stored as relative links to the repository directories in
.source, so otherwise moving the local directories outside of the
humdrum-data directory using cp -r of mv, or even usually
moving them within the humdrum-data directory (unless they are
at the same directory depth as the copied source) will break these
links. Moving them within the repository should best be done by
editing the LIST files used to download data, to create a rearrangement
of the local file structure to your liking (after running make clean
to clean up the old local directory structure).
When there are data errors in downloaded files, contact the repository owner to get them to fix the problem. This is typically done by going to the issues page for the source repository. Some repositories also include scans of the source editions, such as the mozart-piano-sonatas repository, which can be used to verify the digital score transcriptions.
Files should not produce errors (and preferably not warnings) when
checked with the humdrum tools,
that is also up to the maintainers of the source repositories. The
basic Humdrum structure should be correct for the full data set
(any invalid files are exclude with *xfilter). Commented out
repository directories in .lists/LIST*.txt files typically indicates
that there are problems in the Humdrum structure if one or more
file in the source directory, so that directory or specific files
are excluded from the downloads.
The command make nc or make note-counts will produce a list of
note, file, and file size counts for downloaded repositories, both
the complete list and any subsets that have been downloaded.
Duplicate files will not be double counted in the totals at the end
of the results.
Click to view note counts for the full repository installation.
**notes **files **size **directory
30482 20 299.3KB bach/art-of-the-fugue
103866 21 1MB bach/brandenburg
43971 185 650.1KB bach/chorales-185
84624 370 1004.5KB bach/chorales-370
17577 30 152.8KB bach/inventions
10850 6 112.7KB bach/musical-offering
92207 96 825.9KB bach/wtc
259692 103 2.5MB beethoven/piano/sonata
234252 71 3.2MB beethoven/quartet
39597 8 487KB chopin/ballade
82354 42 1MB chopin/etude
1115811 512 14.6MB chopin/first-editions
54917 52 529.2KB chopin/mazurkas
105488 23 1.2MB chopin/polonaise
18705 24 162.4KB chopin/preludes
44541 8 604.8KB chopin/scherzo
55263 27 598.9KB chopin/waltz
146369 250 1.3MB corelli
2254 2 41.9KB early-music/agostini
19851 10 190.3KB early-music/agricola
193 1 5KB early-music/albano
493 1 9.8KB early-music/alberti
47922 86 742.9KB early-music/anonymous
19615 25 212.5KB early-music/anonymous-1520s
499 1 7.2KB early-music/arcadelt
567 1 11.1KB early-music/asola
1007 1 17.2KB early-music/bacchini
3613 9 77.2KB early-music/baccusi
15732 17 281.2KB early-music/balsamino
391 1 7.9KB early-music/barbarino
561 1 4.6KB early-music/barra
13166 10 126.7KB early-music/bauldeweyn
446 1 8.8KB early-music/bellanda
2329 5 45.2KB early-music/bellasio
735 1 13.5KB early-music/bellaver
2105 3 41KB early-music/belli
386 2 13.1KB early-music/benedetti
646 2 15.5KB early-music/billi
275 1 7KB early-music/binchois
1004 1 8.4KB early-music/bisegueria
168 1 6.1KB early-music/bonelli
1294 2 27.8KB early-music/bonini
474 1 9.6KB early-music/borelli
43 1 3.9KB early-music/borsaro
3280 5 61.8KB early-music/boschetti
2459 8 56.8KB early-music/bozi
22999 6 533.9KB early-music/brumel
33458 68 363.9KB early-music/busnoys
610 1 11.9KB early-music/camarella
855 1 14.8KB early-music/cancineo
1165 1 18.3KB early-music/cantino
1537 1 24.4KB early-music/capilupi
220 1 7.2KB early-music/caprioli
538 1 11.3KB early-music/castro
901 1 16.5KB early-music/cavatoni
135 1 5.9KB early-music/cerbello
1126 1 20.8KB early-music/champion
14794 24 303.5KB early-music/cifra
1884 2 34.3KB early-music/cirullo
457 2 11.6KB early-music/civita
484 1 10.4KB early-music/clemsee
551 1 10.6KB early-music/coma
10941 27 101KB early-music/compere
4481 4 38.4KB early-music/conseil
1200 1 23KB early-music/corfini
2269 4 45.5KB early-music/cortellini
618 1 10.8KB early-music/dallacasa
1224 1 19.6KB early-music/dallagostena
7608 5 164.1KB early-music/daser
349 1 7.5KB early-music/dellarota
4209 7 86.3KB early-music/dentice
312 1 7.4KB early-music/dering
285 3 12.2KB early-music/dicostanzo
8147 17 179.8KB early-music/dindia
1057 1 19.1KB early-music/dragoni
991 1 19.5KB early-music/duc
9192 12 162.9KB early-music/dueto
34742 37 685KB early-music/dufay
1107 1 20KB early-music/effrem
547 1 5.3KB early-music/erasmus
15726 19 334.6KB early-music/eredi
692 1 12.5KB early-music/eremita
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248165 74 2.5MB polish/smietanski-emil-wladyslaw
604 2 6.6KB polish/sokol-andrzej
1428 1 12.8KB polish/sonnenfeld-adolf-gustaw
269736 97 6.4MB polish/sowinski-wojciech
47459 63 1.1MB polish/stabile-annibale
1141 1 26.9KB polish/stachowicz-damian
35201 8 675KB polish/staromiejski-j
6249 1 163.3KB polish/statkowski-tadeusz
5894 5 99.5KB polish/stefani-jan
863126 459 17.4MB polish/stefani-jozef
858 2 11.6KB polish/stefani-p
64698 33 1.1MB polish/stojowski-zygmunt
4876 4 97.2KB polish/stolle
842 1 12.5KB polish/stolpe-alojzy
3295 7 96.9KB polish/studzinski-karol
593 1 12.7KB polish/studzinski-kazimierz
21436 20 465.8KB polish/studzinski-piotr
10576 8 226.6KB polish/studzinski-wincenty
10137 9 309.9KB polish/szadek-tomasz
2363 1 58.3KB polish/szarzynski-stanislaw-sylwester
43261 22 888.2KB polish/szczurowski-jacek
10467 19 256.5KB polish/szlagorski-walenty
52132 40 714.6KB polish/szymanowska-maria
41220 30 704.5KB polish/szymanowski-karol
1282 4 22.2KB polish/tarnowski-adam
1244 1 16.7KB polish/teichmann-antoni
2558 2 63.1KB polish/terzago-bernardino
16187 6 323.5KB polish/toeschi-carl-joseph
122 1 4.8KB polish/troschel
44557 34 658.2KB polish/troschel-wilhelm
1329 1 121.4KB polish/turczynski-paschalis
219 1 3.9KB polish/turowicz-ksawery
3244 6 33.6KB polish/tymolski-fabian
926 1 9.1KB polish/unicki
560 2 7.7KB polish/vanhal-johann-baptist
1756 1 27.3KB polish/vinci-leonardo
914 1 27.5KB polish/virchi-paolo
135674 21 3.4MB polish/vogel
439365 126 12.5MB polish/volckmer-augustin
1042 2 25.2KB polish/waclaw-z-szamotul
19060 106 371.5KB polish/walczynski-franciszek
17197 11 377.4KB polish/wanski-jan
3657 4 72.3KB polish/went-johann-nepomuk
108615 38 2.2MB polish/wieniawski-henryk
22628 7 406.4KB polish/wieniawski-jozef
1793 5 52.9KB polish/wiltberger-august
757 2 9.2KB polish/winter-peter-von
635 2 19.4KB polish/witt-franz-xaver
2491 1 25.7KB polish/wolff-edward
5167 1 85.6KB polish/woloszko-andrzej
1668 5 22.2KB polish/worobecki-jozef
4431 1 143.2KB polish/wronowicz-maciej-h
9205 4 73.6KB polish/wronski-adam
13713 6 355.5KB polish/wygrzywalski-jozef
31540 30 318.3KB polish/wysocki-kasper-napoleon
7306 4 183.1KB polish/zajaczkowski-roman
346 1 34KB polish/zandtfelder-nicolaus-joseph-ignatius
3035 6 61.1KB polish/zangl-johann-baptist
67884 19 1.1MB polish/zarebski-juliusz
2013 1 25.6KB polish/zarzycki-aleksander
151022 71 3.4MB polish/zebrowski-marcin-jozef
100999 32 3.1MB polish/zeidler-jozef
305170 155 5.6MB polish/zelenski-wladyslaw
4896 3 64.2KB polish/ziegler
5912 10 139.8KB polish/zieleniewicz-mathias
71795 108 842.2KB polish/zielenski-mikolaj
4154 12 74.8KB polish/zientarski-romuald-teodor
500 1 13.8KB polish/zlotaszewski-jozef
17163 84 734.4KB polyrhythm/rds
68489 65 739.7KB scarlatti/sonata
338788 1995 8.5MB songs/chant/liber-usualis-ddmal
9145 60 76.7KB songs/chant/liber-usualis-selections
1824 38 25.2KB songs/child-ballads
10784 82 100.5KB songs/densmore/acoma
3665 53 40.6KB songs/densmore/maidu
3873 73 100.7KB songs/densmore/mandan
7470 140 93.1KB songs/densmore/menomiee
6184 110 85KB songs/densmore/northute
4844 86 228.2KB songs/densmore/pawnee
13727 243 167.7KB songs/densmore/seminole
16091 245 329.3KB songs/densmore/sioux
15249 128 171.9KB songs/densmore/yuman
136 1 1.2KB songs/folksongs/essen/africa
266 4 2.9KB songs/folksongs/essen/america/mexico
51 2 1.3KB songs/folksongs/essen/america/misc
333 7 5KB songs/folksongs/essen/america/usa
90225 1223 969.4KB songs/folksongs/essen/asia/china/han
14074 206 202KB songs/folksongs/essen/asia/china/natmin
37878 802 487KB songs/folksongs/essen/asia/china/shanxi
1183 10 11.4KB songs/folksongs/essen/asia/china/xinhua
760 5 5.5KB songs/folksongs/essen/asia/misc
1346 43 33.1KB songs/folksongs/essen/europa/czech
376 9 6.3KB songs/folksongs/essen/europa/danmark
5915 110 78.4KB songs/folksongs/essen/europa/deutschl/allerkbd
15136 309 198.8KB songs/folksongs/essen/europa/deutschl/altdeu1
15370 316 201.1KB songs/folksongs/essen/europa/deutschl/altdeu2
27664 687 467.9KB songs/folksongs/essen/europa/deutschl/ballad
40451 704 443.2KB songs/folksongs/essen/europa/deutschl/boehme
6074 106 77.6KB songs/folksongs/essen/europa/deutschl/dva
78764 1700 1001.8KB songs/folksongs/essen/europa/deutschl/erk
33085 566 359.8KB songs/folksongs/essen/europa/deutschl/fink
8393 213 117.1KB songs/folksongs/essen/europa/deutschl/kinder
533 12 6.4KB songs/folksongs/essen/europa/deutschl/test
901 26 14.9KB songs/folksongs/essen/europa/deutschl/variant
31802 616 380KB songs/folksongs/essen/europa/deutschl/zuccal
4496 91 56KB songs/folksongs/essen/europa/elsass
235 4 3KB songs/folksongs/essen/europa/england
626 14 10KB songs/folksongs/essen/europa/france
330 8 4.9KB songs/folksongs/essen/europa/italia
2607 115 66.2KB songs/folksongs/essen/europa/jugoslav
2956 71 45.2KB songs/folksongs/essen/europa/lothring
378 8 5.4KB songs/folksongs/essen/europa/luxembrg
1590 45 28.7KB songs/folksongs/essen/europa/magyar
1877 30 20.9KB songs/folksongs/essen/europa/misc
3756 85 59.4KB songs/folksongs/essen/europa/nederlan
5306 104 65.3KB songs/folksongs/essen/europa/oesterrh
917 25 15.7KB songs/folksongs/essen/europa/polska
1038 28 18.5KB songs/folksongs/essen/europa/romania
1310 37 23.1KB songs/folksongs/essen/europa/rossiya
4586 93 60KB songs/folksongs/essen/europa/schweiz
480 11 7.5KB songs/folksongs/essen/europa/sverige
1149 14 10.5KB songs/folksongs/essen/europa/tirol
566 13 8.9KB songs/folksongs/essen/europa/ukraina
4599 38 30.6KB songs/foster
7543 29 51.6KB songs/gershwin
14113 33 100.5KB songs/harmonized/barbershop
62741 232 538.1KB songs/harmonized/liederschatz
2446 9 16.7KB songs/jazz/trumpet
8552 152 150.9KB songs/nova-scotia
85477 739 9.4MB songs/pop/billboard
39729 105 805.6KB songs/pop/cantonese
59607 200 3.5MB songs/pop/rollingstone
27681 151 713.7KB songs/psalms/gomolka
13018 50 268.7KB songs/psalms/lasso
2612 50 78.7KB songs/psalms/ulenberg
4842 35 59.9KB songs/schubert
1932 65 64.4KB songs/starwars
973 13 16.6KB songs/trumpet/artofphrasing
2446 9 16.7KB songs/trumpet/jazz
276 23 11.3KB tonerow/berg
504 42 21.5KB tonerow/schoenberg
252 21 10.9KB tonerow/webern
23143 46 438.4KB vivaldi/op01
*- *- *- *-
!!!total-notes: 18394282
!!!total-files: 26450
!!!total-size: 387.9MB
The complete repository-download set contains 26,450 files with a total of 18,394,282 sounding notes and total size of 380.2MB.
Downloaded repositories are stored in the .source directory, first
by owner and then by repository name. The repositories are cloned from GitHub
with this command:
git clone --depth=1 --filter=blob:none --no-checkout <repository-url> <local-repository-name>where <repository-url> is the URL to a GitHub-hosted repository,
and <local-repository-name> is the location on the local computer
to store the repository (downloaded repositories are stored in the
.source subdirectory). Here are the meanings of the options that
download only a minimal footprint for a repository:
| Option | Meaning |
|---|---|
--depth=1 |
This option specifies that only the latest commit and its parent commits (up to the specified depth, in this case, 1) will be cloned. It creates a shallow clone, which means you won't have the full history of the repository, but you'll save time and bandwidth by not downloading unnecessary historical data. |
--filter=blob:none |
This option, introduced in Git 2.19, sets a partial clone filter, specifying that no file content (blobs) will be cloned initially. Instead, only the commit and tree objects are fetched. This helps further reduce the amount of data transferred during the cloning process. |
--no-checkout |
This option prevents git from checking out the working directory after the clone is complete. Typically, git automatically checks out the latest commit after cloning, but with --no-checkout, you can defer this step. This can be useful when you want to save time and only fetch the repository metadata without checking out the actual files. |
Next, go inside of the downloaded repository and type this command:
git fetch origin <id>where <id> is the index hash for the repository directory to
download (see the getId() function in
bin/getRepositoryDirectory
for how to identify the index hash of a particular subdirectory in the repository).
Then download the specific directories from the online repository:
git sparse-checkout add <source-directory>
git read-tree -mu FETCH_HEAD
git checkout-index -a --prefix=<source-directory>/You can also set $verboseQ = 1; in the bin/getRepositoryDirectory script
to see the download and installation commands for each downloaded repository.
These commands are used to enable the sparse-checkout mode in git
and configure which directories are made visible in the repository's
working directory. Sparse-checkout is a feature that allows you to
have a partial working directory by checking out only specific
directories from the repository rather than all of them.
This method is a bit complicated, but ensures that only the desired directories are downloaded from the repository, and can avoid downloading the entire repository which may contain large files such as PDF files in other directories.
Once the repositories are downloaded, a local directory structure
will be generated for the selected LIST file (in .lists) according
to the **to parameter in the LIST file that is used. Files from
the downloaded repository will be symbolically linked to the local
file structure, so the humdrum-data directory will maintain a minimal
size, and the symbolic links are used to distinguish between local
and repository files when running make clean to preserve any
local files. You will have to manually delete any local files if you
want to start from a fully clean state again.
Note that files from multiple online repository directories can be
merged into a single local directory (in which case there will be
multiple .info files, one for each source repository with a number
affixed to each additional .info file. And it is also possible
to copy repository directory files to multiple local directories
if they can be separated by regular expressions using the **filter,
**xfilter, and **sar parameters in LIST files.
If downloaded files contain **kern data (as most of the full dataset
file do), then you can copy the file and paste in Verovio Humdrum
Viewer (VHV) (https://verovio.humdrum.org) to view the corresponding
music notation for the file's contents.
On Macs, copy a file's contents like this:
cat file.krn | pbcopyThen paste into the text editor on VHV.
On linux, it is more complicated to copy the contents of a file to the pasteboard/clipboard to paste into VHV, but typically in one of these ways:
xclip -sel clip < file.krn
xsel --clipboard < file.krnYou may need to install these commands if they are not available, something like:
sudo apt-get install xclip
sudo apt-get install xselYou can also drag-and-drop Humdrum files into VHV from the Finder or File Manager.
In addition to using this repository to download Humdrum files, other methods of downloading files from the command-line are described below.
KernScores includes most of the repositories available with this interface, but there are smaller collections that are only available on kernScores (and not or not yet on Github).
- Browse kernScores
There is also a "shortcuts" page which allows easier download on the command line. For example here is downloading of the first Bach chorale:
humcat humdrum:https://chorales/chor001.krn > chor001.krn
humcat hum:https://chorales/chor001.krn > chor001.krn
humcat h:https://chorales/chor001.krn > chor001.krnThe prefixes humdrum:https://, hum:https:// and h:https:// are all alias meaning
a humdrum
URI,
which is converted into a kernScores URL internal to the
humcat tool.
Here is an example use of humcat to download a file without saving
it, using the key Humdrum tool:
humcat h:https://chorales/chor001.krn | keyAn entire directory of files on kernScores can be downloaded to a single Humdrum file:
humcat -s h:https://chorales > chorales.krnsIn this case the -s option is used to preserve segments (separate
sections of data that start with an exclusive interpretation and
end with a spine terminator). Without the -s the humcat tool
will merge a files into a single long (set) of spines (or there
will be an error if the spine counts are not the same). I add the
s to .krns to indicate the the multiple works are stored in the
file. Here is an example of using the multi-file download method
without saving the data:
humcat -s h:https://chorales | census -kResults:
HUMDRUM DATA
Number of data tokens: 143712
Number of null tokens: 34219
Number of multiple-stops: 0
Number of data records: 35928
Number of comments: 7191
Number of interpretations: 4800
Number of records: 47919
KERN DATA
Number of note-heads: 86066
Number of notes: 84624
Longest note: 0
Shortest note: 32
Highest note: aa
Lowest note: CC
Number of rests: 783
Maximum number of voices: 4
Number of single barlines: 5291
Number of double barlines: 370
You can also use humcat to download all works in a kernScores
directory into separate files:
mkdir chorales
cd chorales
humcat -s h:https://chorales | humsplitWhere the Humdrum Extras tool humsplit takes multi-file Humdrum data and splits them back into individual files.
Digital scores from the Josquin Research
Project, Tasso in Music
Project, The 1520s
Project, and the Polish Music in Open
Access project can be downloaded from
on the command line by file ID. Currently files from these alternate repository
structures cannot be downloaded with humcat, but can be downloaded
with curl (on MacOS) and wget (linux).
Using example IDs from these repositories (MacOS):
curl -O https://data.josqu.in/Jos2721.krn
curl -O https://data.tassomusic.org/Trm0047a.krn
curl -O https://data.1520s-project.org/Wil2099.krn
curl -O https://polishscores.org/?id=wtm--a-40-710-94.krn
curl https://humdrum.nifc.pl/19xx:1.krn > popc2-19xx_1.krnThe colon cannot/should not be used on MacOS (without difficulty)
so an alternate method is shown for downloading the Polish score,
where 19xx:1 means the first score from the 20th century dataset
(these numbers are mostly consecutive, but there are some gaps in
the accession numbers). The Polish ID wtm--a-40-710-94 means that
the (paper) source score for the digital score is from the Warsaw
Music Society
and a-40-710-94 is (based on) the call number for the score in
their library.
Same examples using wget (in linux):
wget https://data.josqu.in/Jos2721.krn
wget https://data.tassomusic.org/Trm0047a.krn
wget https://data.1520s-project.org/Wil2099.krn
wget https://polishscores.org/?id=wtm--a-40-710-94.krn
wget https://humdrum.nifc.pl/19xx:1.krn -o popc2-19xx_1.krn
If you want to use wget instead of curl in MacOS, install wget
with Homebrew:
brew install wget
The downloaded data can be piped directly to Humdrum tools as the file is being downloaded, such as with the census tool::
curl https://data.josqu.in/Jos2721.krn | census -k
curl https://data.tassomusic.org/Trm0047a.krn | census -k
curl https://data.1520s-project.org/Wil2099.krn | census -k
curl https://polishscores.org/?id=wtm--a-40-710-94.krn | census -k
curl https://humdrum.nifc.pl/19xx:1.krn | census -kwget examples:
wget https://data.josqu.in/Jos2721.krn | census -k
wget https://data.tassomusic.org/Trm0047a.krn | census -k
wget https://data.1520-sproject.org/Wil2099.krn | census -k
wget https://polishscores.org/?id=wtm--a-40-710-94.krn | census -k
wget https://humdrum.nifc.pl/19xx:1.krn | census -k