From 6a2d3a38b400a5b1e7318ab3eba26d7ce12596d2 Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Mon, 30 Oct 2023 15:39:50 +0100 Subject: [PATCH 01/46] scripts/make, index and track and dataset class. TODO tests --- mirdata/datasets/cipi.py | 225 +++++++++++++++++++++++++++++++++ mirdata/datasets/haydn_op20.py | 9 ++ scripts/make_cipi_index.py | 58 +++++++++ 3 files changed, 292 insertions(+) create mode 100644 mirdata/datasets/cipi.py create mode 100644 scripts/make_cipi_index.py diff --git a/mirdata/datasets/cipi.py b/mirdata/datasets/cipi.py new file mode 100644 index 000000000..da8915e9f --- /dev/null +++ b/mirdata/datasets/cipi.py @@ -0,0 +1,225 @@ +"""Can I play it? (CIPI) Dataset Loader + +.. admonition:: Dataset Info + :class: dropdown + + The "Can I Play It?" (CIPI) dataset is a novel resource created to help determine the difficulty of piano + scores. It fills a crucial gap by providing a collection of piano scores with difficulty levels verified by + an expert pianist. It matches public scores with ratings from the reputable Henle Verlag and checks everything + to ensure accuracy by an expert pianist. CIPI is easy for computers to read, making it perfect for music + researchers and educators. We've shared the entire dataset and the embeddings of the multiple dimensions of + difficulty to encourage further innovation and collaboration in music education and research. +""" +import json +import logging +import os +import pickle +from typing import Optional, TextIO, List + +from deprecated.sphinx import deprecated +import numpy as np + +from mirdata import core, io, jams_utils, download_utils + +try: + import music21 +except ImportError: + logging.error( + "In order to use cipi you must have music21 installed. " + "Please reinstall mirdata using `pip install 'mirdata[cipi]'" + ) + raise ImportError + + +BIBTEX = """ +@article{Ramoneda2024, + author = {Pedro Ramoneda and Dasaem Jeong and Vsevolod Eremenko and Nazif Can Tamer and Marius Miron and Xavier Serra}, + title = {Combining Piano Performance Dimensions for Score Difficulty Classification}, + journal = {Expert Systems with Applications}, + volume = {238}, + pages = {121776}, + year = {2024}, + doi = {10.1016/j.eswa.2023.121776}, + url = {https://doi.org/10.1016/j.eswa.2023.121776} +}""" + +INDEXES = { + "default": "1.0", + "test": "1.0", + "1.0": core.Index(filename="cipi_1.0.json"), +} + + +LICENSE_INFO = ( + "Creative Commons Attribution Non Commercial Share Alike 4.0 International." +) + + +class Track(core.Track): + """Can I play it? (CIPI) track class + + Args: + track_id (str): track id of the track + + Attributes: + title (str): title of the track + book (str): book of the track + URI (str): URI of the track + composer (str): name of the author of the track + track_id (str): track id + musicxml_paths (list): path to musicxml score. If the music piece contains multiple movents the list will contain multiple paths. + difficulty annotation (str): annotated difficulty + + Cached Properties: + Fingering (tuple): fingering features from technique dimension computed with ArGNN fingering model. Return of two elements the embeddings of the right hand and the ones of the left hand. + Expressiviness (list): expressiviness features from sound dimension computed with virtuosoNet model. + Notes (list): note features from notation dimension. + scores (list[music21.stream.Score]): music21 scores. If the work is splited in several movements the list will contain multiple scores. + """ + + def __init__(self, track_id, data_home, dataset_name, index, metadata): + super().__init__(track_id, data_home, dataset_name, index, metadata) + + @property + def title(self) -> str: + return self._track_metadata.get("title") + + @property + def book(self) -> str: + return self._track_metadata.get("book") + + @property + def URI(self) -> str: + return self._track_metadata.get("URI") + + @property + def composer(self) -> str: + return self._track_metadata.get("composer") + + @property + def track_id(self) -> str: + return self._track_metadata.get("track_id") + + @property + def musicxml_paths(self) -> List[str]: + return list(self._track_metadata.get("musicxml_paths").values()) + + @property + def difficulty_annotation(self) -> str: + return self._track_metadata.get("difficulty_annotation") + + @core.cached_property + def scores(self) -> music21.stream.Score: + return [load_score(path) for path in self.musicxml_paths] + + @core.cached_property + def fingering(self) -> tuple: + return _load_embedding(self.get_path("rh_fingering")), _load_embedding(self.get_path("lh_fingering")) + + @core.cached_property + def expressiviness(self) -> list[list]: + return _load_embedding(self.get_path("expressiviness")) + + @core.cached_property + def notes(self) -> list[list]: + return _load_embedding(self.get_path("notes")) + + def to_jams(self): + """Get the track's data in jams format + + Returns: + jams.JAMS: the track's data in jams format + + """ + return jams_utils.jams_converter( + metadata={ + "title": self.title, + "book": self.book, + "URI": self.URI, + "composer": self.composer, + "track_id": self.track_id, + "musicxml_paths": self.musicxml_paths, + "difficulty_annotation": self.difficulty_annotation, + } + ) + + + + +def _load_embedding(fpath): + """Get the track's data in jams format + + Args: + fpath (str or file-like): path to score file + + Returns: + jams.JAMS: the track's data in jams format + + """ + with open(fpath, 'rb') as f: + embedding = pickle.load(f) + return embedding + + + +def load_score(fhandle: TextIO): + """Load cipi score in music21 stream + + Args: + fhandle (str or file-like): path to MusicXML score + + Returns: + music21.stream.Score: score in music21 format + """ + score = music21.converter.parse(fhandle.name) + return score + + + + + +@deprecated( + reason="convert_and_save_to_midi is deprecated and will be removed in a future version", + version="0.3.4", +) +@io.coerce_to_string_io +def convert_and_save_to_midi(fpath: TextIO): + """convert to midi file and return the midi path + + Args: + fpath (str or file-like): path to score file + + Returns: + str: midi file path + + """ + midi_path = os.path.splitext(fpath.name)[0] + ".midi" + score, _ = music21.converter.parse(fpath) + score.write("midi", fp=midi_path) + return midi_path + + +@core.docstring_inherit(core.Dataset) +class Dataset(core.Dataset): + """ + The Can I play it? (CIPI) dataset + """ + + def __init__(self, data_home=None, version="default"): + super().__init__( + data_home, + name="cipi", + track_class=Track, + bibtex=BIBTEX, + indexes=INDEXES, + license_info=LICENSE_INFO, + ) + + @core.cached_property + def _metadata(self): + metadata_path = os.path.join(self.data_home, "index.json") + try: + with open(metadata_path, "r") as fhandle: + return json.load(fhandle) + except FileNotFoundError: + raise FileNotFoundError("Metadata not found. Did you run .download()?") diff --git a/mirdata/datasets/haydn_op20.py b/mirdata/datasets/haydn_op20.py index ebbde9d15..6b9c6b407 100644 --- a/mirdata/datasets/haydn_op20.py +++ b/mirdata/datasets/haydn_op20.py @@ -87,6 +87,15 @@ def __init__(self, track_id, data_home, dataset_name, index, metadata): self.humdrum_annotated_path = self.get_path("annotations") self.title = os.path.splitext(self._track_paths["annotations"][0])[0] + @core.cached_property + def _metadata(self): + data = self._track_metadata() + return + + @core.cached_property + def _metadata(self): + return self._track_metadata() + @core.cached_property def score(self) -> music21.stream.Score: return load_score(self.humdrum_annotated_path) diff --git a/scripts/make_cipi_index.py b/scripts/make_cipi_index.py new file mode 100644 index 000000000..bf4fae677 --- /dev/null +++ b/scripts/make_cipi_index.py @@ -0,0 +1,58 @@ +import argparse +import json +import os +import sys +from mirdata.validate import md5 + + +def make_cipi_indexes(args): + version = args.full_version + cipi_index = { + "version": version, + "tracks": {}, + "metadata": [ + "index.json", + md5(args.path + "/index.json"), + ] + } + # load json /home/mir_datasets/cipi/index.json + data = json.load(open(args.path + "/index.json", "r")) + for k, track in data.items(): + cipi_index["tracks"]["cipi_{}".format(k)] = {"annotations": {}} + cipi_index["tracks"]["cipi_{}".format(k)]["annotations"]["lh_fingering"] = [ + f"ArGNNThumb-s/lh/{k}.pt", + md5(args.path + f"/ArGNNThumb-s/lh/{k}.pt"), + ] + cipi_index["tracks"]["cipi_{}".format(k)]["annotations"]["rh_fingering"] = [ + f"ArGNNThumb-s/rh/{k}.pt", + md5(args.path + f"/ArGNNThumb-s/rh/{k}.pt"), + ] + cipi_index["tracks"]["cipi_{}".format(k)]["annotations"]["expressiviness"] = [ + f"virtuoso/{k}.pt", + md5(args.path + f"/virtuoso/{k}.pt"), + ] + cipi_index["tracks"]["cipi_{}".format(k)]["annotations"]["notes"] = [ + f"k/{k}.pt", + md5(args.path + f"/k/{k}.pt"), + ] + cipi_index["tracks"]["cipi_{}".format(k)]["annotations"]["notes"] = [ + f"k/{k}.pt", + md5(args.path + f"/k/{k}.pt"), + ] + + + # save json ../mirdata/datasets/indexes/cipi_index.json + with open(f"../mirdata/datasets/indexes/cipi_index_{version}.json", "w") as fhandle: + json.dump(cipi_index, fhandle, indent=4, ensure_ascii=False) + + +def main(args): + make_cipi_indexes(args) + + +if __name__ == "__main__": + PARSER = argparse.ArgumentParser(description="Make cipi index files.") + PARSER.add_argument("full_version", default="1.0", type=str, help="full index version") + PARSER.add_argument("path", type=str, help="full index version") + args = PARSER.parse_args() + main(args) \ No newline at end of file From e59e8e85246c179c3392c13837024d16ba36385c Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Mon, 30 Oct 2023 15:48:56 +0100 Subject: [PATCH 02/46] fix docstring --- mirdata/datasets/cipi.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/mirdata/datasets/cipi.py b/mirdata/datasets/cipi.py index da8915e9f..956612bdc 100644 --- a/mirdata/datasets/cipi.py +++ b/mirdata/datasets/cipi.py @@ -3,12 +3,15 @@ .. admonition:: Dataset Info :class: dropdown - The "Can I Play It?" (CIPI) dataset is a novel resource created to help determine the difficulty of piano - scores. It fills a crucial gap by providing a collection of piano scores with difficulty levels verified by - an expert pianist. It matches public scores with ratings from the reputable Henle Verlag and checks everything - to ensure accuracy by an expert pianist. CIPI is easy for computers to read, making it perfect for music - researchers and educators. We've shared the entire dataset and the embeddings of the multiple dimensions of - difficulty to encourage further innovation and collaboration in music education and research. + The "Can I Play It?" (CIPI) dataset is a specialized collection of 652 classical piano scores, provided in a + machine-readable MusicXML format and accompanied by integer-based difficulty levels ranging from 1 to 9, as + verified by expert pianists. Developed by the Music Technology Group in Barcelona, this dataset focuses + exclusively on classical piano music, offering a rich resource for music researchers, educators, and students. + + The CIPI dataset facilitates various applications such as the study of musical complexity, the selection of + appropriately leveled pieces for students, and general research in music education. The dataset, alongside + embeddings of multiple dimensions of difficulty, has been made publicly available to encourage ongoing innovation + and collaboration within the music education and research communities. """ import json import logging @@ -17,7 +20,6 @@ from typing import Optional, TextIO, List from deprecated.sphinx import deprecated -import numpy as np from mirdata import core, io, jams_utils, download_utils From ae5099a19fb8c47a52ed4a6ca57d8e6a263ad872 Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Mon, 30 Oct 2023 15:57:35 +0100 Subject: [PATCH 03/46] modify the docs --- docs/source/mirdata.rst | 8 ++++++++ docs/source/table.rst | 9 +++++++++ 2 files changed, 17 insertions(+) diff --git a/docs/source/mirdata.rst b/docs/source/mirdata.rst index f537e5d05..393ade498 100644 --- a/docs/source/mirdata.rst +++ b/docs/source/mirdata.rst @@ -60,6 +60,14 @@ cante100 :inherited-members: +cante100 +^^^^^^^^ + +.. automodule:: mirdata.datasets.cipi + :members: + :inherited-members: + + compmusic_carnatic_rhythm ^^^^^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/source/table.rst b/docs/source/table.rst index ea5eb7433..fbb335c8b 100644 --- a/docs/source/table.rst +++ b/docs/source/table.rst @@ -61,6 +61,15 @@ - 100 - :cante:`\ ` + * - CIPI + - - musicXML: ❌ + - embeddings: ✅ + - annotations: ✅ + - - difficulty levels + - 652 + - image:: https://licensebuttons.net/l/by-nc-sa/4.0/80x15.png + :target: https://creativecommons.org/licenses/by-nc-sa/4.0 + * - .. line-block:: (CompMusic) From ba71105a8f58699258666934c1937c92b9044cb1 Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Mon, 30 Oct 2023 16:05:21 +0100 Subject: [PATCH 04/46] download disclaimer --- mirdata/datasets/indexes/cipi_index_1.0.json | 13049 +++++++++++++++++ 1 file changed, 13049 insertions(+) create mode 100644 mirdata/datasets/indexes/cipi_index_1.0.json diff --git a/mirdata/datasets/indexes/cipi_index_1.0.json b/mirdata/datasets/indexes/cipi_index_1.0.json new file mode 100644 index 000000000..3d869b63f --- /dev/null +++ b/mirdata/datasets/indexes/cipi_index_1.0.json @@ -0,0 +1,13049 @@ +{ + "version": "1.0", + "tracks": { + "cipi_c-1": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-1.pt", + "ecb8a0dcb70a4331708baf9141cedfd1" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-1.pt", + "cdb1ba84bc21572c35d299291fca8442" + ], + "expressiviness": [ + "virtuoso/c-1.pt", + "fb6eb47c9ee21051559325e217b9b0a1" + ], + "notes": [ + "k/c-1.pt", + "9816f5c88488925c019283e29f00b536" + ] + } + }, + "cipi_c-10": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-10.pt", + "a70117b46f3f9aca1577e54f3849ad14" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-10.pt", + "a1448175cb62ceecb9798e54f2206ff9" + ], + "expressiviness": [ + "virtuoso/c-10.pt", + "7c013925dd2a1711cf58e10bb21fdef7" + ], + "notes": [ + "k/c-10.pt", + "a3f63d3cd06225e0c1111596c5685819" + ] + } + }, + "cipi_c-11": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-11.pt", + "0a690c1fb453409eb67f62c5cf035d68" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-11.pt", + "90db53228bb3d8f9dc694342e620dcb6" + ], + "expressiviness": [ + "virtuoso/c-11.pt", + "0c41c010b4bd8a3148529860e0263274" + ], + "notes": [ + "k/c-11.pt", + "85e26c1a20a9b564dcff35855b8f962d" + ] + } + }, + "cipi_c-12": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-12.pt", + "2be6478b4c56058f83a9da1f68754f20" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-12.pt", + "fe4ab43bf89ee8fd6cc1680efe2008a5" + ], + "expressiviness": [ + "virtuoso/c-12.pt", + "1ea506723a38c6b100bfa5d3db28f309" + ], + "notes": [ + "k/c-12.pt", + "1f4dc0a223ae901aaf3e656a091fab79" + ] + } + }, + "cipi_c-13": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-13.pt", + "bc9401ff10104cc08a95a4ebc9a653c4" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-13.pt", + "3ecbdc784400aea131e7184a84f3f7b4" + ], + "expressiviness": [ + "virtuoso/c-13.pt", + "34495066bd40136af47b882d30be32cf" + ], + "notes": [ + "k/c-13.pt", + "59e923b17729d943a560720220f460ff" + ] + } + }, + "cipi_c-14": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-14.pt", + "37b571b9e802cc18111ae783738817b1" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-14.pt", + "685e7013b44be3cde0942b1d0ee02bc9" + ], + "expressiviness": [ + "virtuoso/c-14.pt", + "97239ca7a0140a0f537aa2abfc9016ae" + ], + "notes": [ + "k/c-14.pt", + "a0e076467dca0a3d9699db4d10ef6f43" + ] + } + }, + "cipi_c-15": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-15.pt", + "03ff4740edb5f20da0afc1f2e31a0b35" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-15.pt", + "76d9c67f487239c48c59f89df99aa2f9" + ], + "expressiviness": [ + "virtuoso/c-15.pt", + "3abb2f67f3d64eafe5ac72dfd1e8e31c" + ], + "notes": [ + "k/c-15.pt", + "d56aa5e29d331519ae15c110e0693c6f" + ] + } + }, + "cipi_c-16": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-16.pt", + "d553f55c05eeb77caf1a15518b44e1f7" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-16.pt", + "524f86e1e5a6d9800a8d22eb1a669027" + ], + "expressiviness": [ + "virtuoso/c-16.pt", + "e4786eeffce540f1840810592323d94a" + ], + "notes": [ + "k/c-16.pt", + "c2448f03213136930f4205ef22704348" + ] + } + }, + "cipi_c-17": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-17.pt", + "2f1da7fb7f13ff4229883e7cd7e3a649" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-17.pt", + "993dbb80348a5b998e3fe078fd7edcab" + ], + "expressiviness": [ + "virtuoso/c-17.pt", + "684b1c1d70a0fa633e6ded4168a9351a" + ], + "notes": [ + "k/c-17.pt", + "173b608997d55c01d56fa016fbd08272" + ] + } + }, + "cipi_c-18": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-18.pt", + "8131277909d4a6fcf135d97f74030c50" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-18.pt", + "3bd59cb477e7a0078280562ce8e68d80" + ], + "expressiviness": [ + "virtuoso/c-18.pt", + "4113627d50a451ca4cbd077a239fb59a" + ], + "notes": [ + "k/c-18.pt", + "b067d7e811234277e065683ee7e5cd5a" + ] + } + }, + "cipi_c-180": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-180.pt", + "f8419a101b6dea3c26bd361407369e9f" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-180.pt", + "afde974535a6b4e6763a1beb09e4fc08" + ], + "expressiviness": [ + "virtuoso/c-180.pt", + "6868f4296f552cee7051367372856b8f" + ], + "notes": [ + "k/c-180.pt", + "8a2c8ca0b9f3b7c041229fb9b1197bd1" + ] + } + }, + "cipi_c-181": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-181.pt", + "90fe1f62d8f3dc191569336e7e4faefd" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-181.pt", + "72a0c575c2883826a2dbfa7d609071e3" + ], + "expressiviness": [ + "virtuoso/c-181.pt", + "6ab15c794356bc3bd58c1fb089455f03" + ], + "notes": [ + "k/c-181.pt", + "b34227117c32a4b78a2255fdd9d5fa9f" + ] + } + }, + "cipi_c-182": { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-182.pt", + "86ee32f954bdd85ac733edf2c128e364" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-182.pt", + "3c3d27ca6ee9a3ee3fac8580cdc9e46f" + ], + "expressiviness": [ + "virtuoso/c-182.pt", + "c6731debd7fa641e13ffb985f85f82ae" + ], + "notes": [ + "k/c-182.pt", + "e3d134f88e0ba5403141208eda7da734" + ] + } + }, + "cipi_c-183": { + "annotations": { + "lh_fingering": [ + 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"k/x-99.pt", + "3249e20c99a6eeb2a46a7a069d33131b" + ] + } + } + }, + "metadata": [ + "index.json", + "8751fc468145c36feb1419bd8b9a26e3" + ] +} \ No newline at end of file From a529601cbaef97c7e8ac7c2dcee6a96ca52a00f9 Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Mon, 30 Oct 2023 16:05:29 +0100 Subject: [PATCH 05/46] black --- mirdata/datasets/baf.py | 16 ++--------- mirdata/datasets/cipi.py | 26 +++++++++++------ mirdata/datasets/compmusic_carnatic_rhythm.py | 13 ++------- .../datasets/compmusic_hindustani_rhythm.py | 13 ++------- mirdata/datasets/compmusic_indian_tonic.py | 13 ++------- mirdata/datasets/compmusic_raga.py | 13 ++------- mirdata/datasets/egfxset.py | 13 ++------- mirdata/datasets/four_way_tabla.py | 13 ++------- tests/datasets/test_baf.py | 8 +----- tests/datasets/test_compmusic_raga.py | 28 +++---------------- 10 files changed, 38 insertions(+), 118 deletions(-) diff --git a/mirdata/datasets/baf.py b/mirdata/datasets/baf.py index 0ff4fc257..e019f30ab 100755 --- a/mirdata/datasets/baf.py +++ b/mirdata/datasets/baf.py @@ -252,19 +252,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) self.audio_path = self.get_path("audio") @@ -304,8 +295,7 @@ def to_jams(self): """ return jams_utils.jams_converter( - audio_path=self.audio_path, - metadata=self._track_metadata, + audio_path=self.audio_path, metadata=self._track_metadata, ) diff --git a/mirdata/datasets/cipi.py b/mirdata/datasets/cipi.py index 956612bdc..80f5706c8 100644 --- a/mirdata/datasets/cipi.py +++ b/mirdata/datasets/cipi.py @@ -56,6 +56,18 @@ "Creative Commons Attribution Non Commercial Share Alike 4.0 International." ) +DOWNLOAD_INFO = """ + Unfortunately the files of the CIPI dataset are available + for download upon request. After requesting the dataset, you will receive a + link to download the dataset. You must download scores.zip, embeddings.zip and index.json + copy the files into the folder: + > cipi/ + > index.json + > embeddings.zip + > scores.zip + unzip embedding.zip and scores.zip and copy the CIPI folder to {} +""" + class Track(core.Track): """Can I play it? (CIPI) track class @@ -116,7 +128,10 @@ def scores(self) -> music21.stream.Score: @core.cached_property def fingering(self) -> tuple: - return _load_embedding(self.get_path("rh_fingering")), _load_embedding(self.get_path("lh_fingering")) + return ( + _load_embedding(self.get_path("rh_fingering")), + _load_embedding(self.get_path("lh_fingering")), + ) @core.cached_property def expressiviness(self) -> list[list]: @@ -146,8 +161,6 @@ def to_jams(self): ) - - def _load_embedding(fpath): """Get the track's data in jams format @@ -158,12 +171,11 @@ def _load_embedding(fpath): jams.JAMS: the track's data in jams format """ - with open(fpath, 'rb') as f: + with open(fpath, "rb") as f: embedding = pickle.load(f) return embedding - def load_score(fhandle: TextIO): """Load cipi score in music21 stream @@ -177,9 +189,6 @@ def load_score(fhandle: TextIO): return score - - - @deprecated( reason="convert_and_save_to_midi is deprecated and will be removed in a future version", version="0.3.4", @@ -215,6 +224,7 @@ def __init__(self, data_home=None, version="default"): bibtex=BIBTEX, indexes=INDEXES, license_info=LICENSE_INFO, + download_info=DOWNLOAD_INFO, ) @core.cached_property diff --git a/mirdata/datasets/compmusic_carnatic_rhythm.py b/mirdata/datasets/compmusic_carnatic_rhythm.py index c292e07cc..74d5ad458 100644 --- a/mirdata/datasets/compmusic_carnatic_rhythm.py +++ b/mirdata/datasets/compmusic_carnatic_rhythm.py @@ -132,19 +132,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) # Audio path diff --git a/mirdata/datasets/compmusic_hindustani_rhythm.py b/mirdata/datasets/compmusic_hindustani_rhythm.py index 8911c996e..6ee9cd23a 100644 --- a/mirdata/datasets/compmusic_hindustani_rhythm.py +++ b/mirdata/datasets/compmusic_hindustani_rhythm.py @@ -126,19 +126,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) # Audio path diff --git a/mirdata/datasets/compmusic_indian_tonic.py b/mirdata/datasets/compmusic_indian_tonic.py index 4c37035e6..f91b9e15c 100644 --- a/mirdata/datasets/compmusic_indian_tonic.py +++ b/mirdata/datasets/compmusic_indian_tonic.py @@ -119,19 +119,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) self.audio_path = self.get_path("audio") diff --git a/mirdata/datasets/compmusic_raga.py b/mirdata/datasets/compmusic_raga.py index d9437bfc0..5a724f801 100644 --- a/mirdata/datasets/compmusic_raga.py +++ b/mirdata/datasets/compmusic_raga.py @@ -123,19 +123,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) # Audio path diff --git a/mirdata/datasets/egfxset.py b/mirdata/datasets/egfxset.py index fbefda943..c087f483b 100644 --- a/mirdata/datasets/egfxset.py +++ b/mirdata/datasets/egfxset.py @@ -210,19 +210,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) self.audio_path = self.get_path("audio") diff --git a/mirdata/datasets/four_way_tabla.py b/mirdata/datasets/four_way_tabla.py index c3f612ee5..6197b618b 100644 --- a/mirdata/datasets/four_way_tabla.py +++ b/mirdata/datasets/four_way_tabla.py @@ -85,19 +85,10 @@ class Track(core.Track): """ def __init__( - self, - track_id, - data_home, - dataset_name, - index, - metadata, + self, track_id, data_home, dataset_name, index, metadata, ): super().__init__( - track_id, - data_home, - dataset_name, - index, - metadata, + track_id, data_home, dataset_name, index, metadata, ) self.audio_path = self.get_path("audio") diff --git a/tests/datasets/test_baf.py b/tests/datasets/test_baf.py index bb52af655..61ed5df82 100755 --- a/tests/datasets/test_baf.py +++ b/tests/datasets/test_baf.py @@ -69,13 +69,7 @@ def test_load_matches(): assert type(matches.tag_unit) == str intervals_list = deque( - [ - [40.44, 59.936], - [40.0, 40.44], - [0.0, 33.0], - [33.0, 34.49], - [34.49, 34.61], - ] + [[40.44, 59.936], [40.0, 40.44], [0.0, 33.0], [33.0, 34.49], [34.49, 34.61],] ) intervals = np.array(intervals_list, dtype=float) interval_unit = "s" diff --git a/tests/datasets/test_compmusic_raga.py b/tests/datasets/test_compmusic_raga.py index 114bd68eb..8eb981b55 100644 --- a/tests/datasets/test_compmusic_raga.py +++ b/tests/datasets/test_compmusic_raga.py @@ -199,18 +199,10 @@ def test_load_pitch(): # Check values assert np.array_equal( - parsed_pitch.times, - np.array([0.0000000, 0.0044444, 0.0088889]), + parsed_pitch.times, np.array([0.0000000, 0.0044444, 0.0088889]), ) assert np.array_equal( - parsed_pitch.frequencies, - np.array( - [ - 290.2945557, - 0.0000000, - 290.2945557, - ] - ), + parsed_pitch.frequencies, np.array([290.2945557, 0.0000000, 290.2945557,]), ) assert np.array_equal(parsed_pitch.voicing, np.array([1.0, 0.0, 1.0])) @@ -244,24 +236,12 @@ def test_load_segments(): # Check values assert np.array_equal( parsed_nyas.intervals, - np.array( - [ - [2.16887, 2.62664], - [3.04886, 3.43552], - [5.19106, 5.50217], - ] - ), + np.array([[2.16887, 2.62664], [3.04886, 3.43552], [5.19106, 5.50217],]), ) assert parsed_nyas.events == ["nyas", "nyas", "nyas"] assert np.array_equal( parsed_tani.intervals, - np.array( - [ - [2.16887, 2.62664], - [3.04886, 3.43552], - [5.19106, 5.50217], - ] - ), + np.array([[2.16887, 2.62664], [3.04886, 3.43552], [5.19106, 5.50217],]), ) assert parsed_tani.events == ["tani", "tani", "tani"] From 720b0feae4f6239ffba3a4fe3a0265970593629d Mon Sep 17 00:00:00 2001 From: PRamoneda Date: Tue, 31 Oct 2023 13:23:22 +0100 Subject: [PATCH 06/46] first test --- tests/datasets/cipi.py | 152 + .../cipi/ArGNNThumb-s/lh/c-189.pt | Bin 0 -> 4262466 bytes .../cipi/ArGNNThumb-s/rh/c-189.pt | Bin 0 -> 4350914 bytes .../kern/L334K122.musicxml | 21547 ++++++++++++++++ tests/resources/mir_datasets/cipi/index.json | 12 + tests/resources/mir_datasets/cipi/k/c-189.pt | Bin 0 -> 1089829 bytes .../mir_datasets/cipi/virtuoso/c-189.pt | Bin 0 -> 2657985 bytes 7 files changed, 21711 insertions(+) create mode 100644 tests/datasets/cipi.py create mode 100644 tests/resources/mir_datasets/cipi/ArGNNThumb-s/lh/c-189.pt create mode 100644 tests/resources/mir_datasets/cipi/ArGNNThumb-s/rh/c-189.pt create mode 100644 tests/resources/mir_datasets/cipi/craig_files/scarlatti-keyboard-sonatas-master/kern/L334K122.musicxml create mode 100644 tests/resources/mir_datasets/cipi/index.json create mode 100644 tests/resources/mir_datasets/cipi/k/c-189.pt create mode 100644 tests/resources/mir_datasets/cipi/virtuoso/c-189.pt diff --git a/tests/datasets/cipi.py b/tests/datasets/cipi.py new file mode 100644 index 000000000..ea37fd914 --- /dev/null +++ b/tests/datasets/cipi.py @@ -0,0 +1,152 @@ +import logging +import os + +try: + import music21 +except ImportError: + logging.error( + "In order to test haydn_op20 you must have music21 installed. " + "Please reinstall mirdata using `pip install 'mirdata[haydn_op20] and re-run the tests." + ) + raise ImportError + +from mirdata.annotations import KeyData, ChordData +from mirdata.datasets import haydn_op20 +from tests.test_utils import run_track_tests + + +def test_track(): + default_trackid = "cipi_c-181" + data_home = os.path.normpath("tests/resources/mir_datasets/cipi") + dataset = haydn_op20.Dataset(data_home) + track = dataset.track(default_trackid) + + expected_attributes = { + { + "annotations": { + "lh_fingering": [ + "ArGNNThumb-s/lh/c-181.pt", + "90fe1f62d8f3dc191569336e7e4faefd" + ], + "rh_fingering": [ + "ArGNNThumb-s/rh/c-181.pt", + "72a0c575c2883826a2dbfa7d609071e3" + ], + "expressiviness": [ + "virtuoso/c-181.pt", + "6ab15c794356bc3bd58c1fb089455f03" + ], + "notes": [ + "k/c-181.pt", + "b34227117c32a4b78a2255fdd9d5fa9f" + ] + } + } + } + + expected_property_types = { + "title": str, + "book": str, + "URI": str, + "composer": str, + "track_id": str, + "musicxml_paths": list, + "difficulty_annotation": str, + "scores": list, + "fingering": tuple, + "expressiviness": list, + "notes": list, + } + run_track_tests(track, expected_attributes, expected_property_types) + + +# def test_to_jam(): +# data_home = os.path.normpath("tests/resources/mir_datasets/haydn_op20") +# dataset = haydn_op20.Dataset(data_home) +# track = dataset.track("0") +# jam = track.to_jams() +# assert jam["file_metadata"]["title"] == "op20n1-01", "title does not match expected" +# assert jam["file_metadata"]["duration"] == 644, "duration does not match expected" +# assert jam["sandbox"]["humdrum_annotated_path"] == os.path.join( +# os.path.normpath("tests/resources/mir_datasets/haydn_op20/"), "op20n1-01.hrm" +# ), "duration does not match expected" +# assert jam["sandbox"]["midi_path"] == os.path.join( +# os.path.normpath("tests/resources/mir_datasets/haydn_op20/"), "op20n1-01.midi" +# ), "duration does not match expected" +# assert isinstance(jam["sandbox"]["chords_music21"], list) +# assert jam["sandbox"]["chords_music21"][0]["time"] == 0 +# assert jam["sandbox"]["chords_music21"][0]["chord"] == "Eb-major triad" +# assert isinstance(jam["sandbox"]["keys_music21"], list) +# assert jam["sandbox"]["keys_music21"][0]["time"] == 0 +# assert isinstance(jam["sandbox"]["keys_music21"][0]["key"], music21.key.Key) +# assert isinstance(jam["sandbox"]["roman_numerals"], list) +# assert jam["sandbox"]["roman_numerals"][0]["time"] == 0 +# assert jam["sandbox"]["roman_numerals"][0]["roman_numeral"] == "I" +# +# chord_data = jam["sandbox"]["chord"] +# assert type(chord_data) == ChordData +# assert type(chord_data.intervals) == np.ndarray +# assert type(chord_data.labels) == list +# assert np.array_equal( +# chord_data.intervals[:, 0], np.array([0.0, 364.0, 392.0, 644.0]) +# ) +# assert np.array_equal( +# chord_data.intervals[:, 1], np.array([363.0, 391.0, 643.0, 644.0]) +# ) +# assert np.array_equal( +# chord_data.labels, +# np.array( +# [ +# "Eb-major triad", +# "Bb-dominant seventh chord", +# "Eb-major triad", +# "F-dominant seventh chord", +# ] +# ), +# ) +# assert haydn_op20.load_chords(None) is None +# +# key_data = jam["sandbox"]["key"] +# assert type(key_data) == KeyData +# assert type(key_data.intervals) == np.ndarray +# +# assert np.array_equal(key_data.intervals[:, 0], np.array([0.0, 644.0])) +# assert np.array_equal(key_data.intervals[:, 1], np.array([643.0, 644.0])) +# assert np.array_equal(key_data.keys, ["Eb:major", "Bb:major"]) +# +# assert haydn_op20.load_key(None) is None +# +# +# def test_load_score(): +# path = "tests/resources/mir_datasets/haydn_op20/op20n1-01.hrm" +# score = haydn_op20.load_score(path) +# assert isinstance(score, music21.stream.Score) +# assert len(score.parts) == 4 +# +# +# def test_load_key(): +# path = "tests/resources/mir_datasets/haydn_op20/op20n1-01.hrm" +# +# key_data = haydn_op20.load_key(path) +# assert type(key_data) == KeyData +# assert type(key_data.intervals) == np.ndarray +# +# assert np.array_equal(key_data.intervals[:, 0], np.array([0.0, 644.0])) +# assert np.array_equal(key_data.intervals[:, 1], np.array([643.0, 644.0])) +# assert np.array_equal(key_data.keys, ["Eb:major", "Bb:major"]) +# +# assert haydn_op20.load_key(None) is None +# +# key_music21 = haydn_op20.load_key_music21(path) +# assert isinstance(key_music21, list) +# assert len(key_music21) == 4 +# assert key_music21[0]["time"] == 0 +# assert key_music21[-1]["time"] == 644 +# assert isinstance(key_music21[0]["key"], music21.key.Key) +# +# +# def test_load_midi_path(): +# path = "tests/resources/mir_datasets/haydn_op20/op20n1-01.hrm" +# midi_path = haydn_op20.convert_and_save_to_midi(path) +# assert isinstance(midi_path, str) +# assert midi_path == "tests/resources/mir_datasets/haydn_op20/op20n1-01.midi" diff --git a/tests/resources/mir_datasets/cipi/ArGNNThumb-s/lh/c-189.pt b/tests/resources/mir_datasets/cipi/ArGNNThumb-s/lh/c-189.pt new file mode 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