Overview#

This notebook gives a general overview of the features included in the dataset.

Hide imports
%load_ext autoreload
%autoreload 2
import os

import dimcat as dc
import pandas as pd
import plotly.express as px
from dimcat import filters, plotting
from IPython.display import display

import utils
RESULTS_PATH = os.path.abspath(os.path.join(utils.OUTPUT_FOLDER, "overview"))
os.makedirs(RESULTS_PATH, exist_ok=True)


def make_output_path(
    filename: str,
    extension=None,
    path=RESULTS_PATH,
) -> str:
    return utils.make_output_path(filename=filename, extension=extension, path=path)


def save_figure_as(
    fig, filename, formats=("png", "pdf"), directory=RESULTS_PATH, **kwargs
):
    if formats is not None:
        for fmt in formats:
            plotting.write_image(fig, filename, directory, format=fmt, **kwargs)
    else:
        plotting.write_image(fig, filename, directory, **kwargs)

Loading data

D = utils.get_dataset("rachmaninoff_piano", corpus_release="v2.4")
package = D.inputs.get_package()
package_info = package._package.custom
git_tag = package_info.get("git_tag")
utils.print_heading("Data and software versions")
print("Sergei Rachmaninoff – Variations on a Theme of Corelli, Op. 42 version v2.4")
print(f"Datapackage '{package.package_name}' @ {git_tag}")
print(f"dimcat version {dc.__version__}\n")
D
Data and software versions
--------------------------

Sergei Rachmaninoff – Variations on a Theme of Corelli, Op. 42 version v2.4
Datapackage 'rachmaninoff_piano' @ v2.4
dimcat version 3.4.0
Dataset
=======
{'inputs': {'basepath': None,
            'packages': {'rachmaninoff_piano': ["'rachmaninoff_piano.measures' (MuseScoreFacetName.MuseScoreMeasures)",
                                                "'rachmaninoff_piano.notes' (MuseScoreFacetName.MuseScoreNotes)",
                                                "'rachmaninoff_piano.expanded' (MuseScoreFacetName.MuseScoreHarmonies)",
                                                "'rachmaninoff_piano.chords' (MuseScoreFacetName.MuseScoreChords)",
                                                "'rachmaninoff_piano.metadata' (FeatureName.Metadata)"]}},
 'outputs': {'basepath': None, 'packages': {}},
 'pipeline': []}
filtered_D = filters.HasHarmonyLabelsFilter(keep_values=[True]).process(D)
all_metadata = filtered_D.get_metadata()
assert len(all_metadata) > 0, "No pieces selected for analysis."
all_metadata
TimeSig KeySig last_mc last_mn length_qb last_mc_unfolded last_mn_unfolded length_qb_unfolded all_notes_qb n_onsets ... pdf P86 (composer) staff_1_ambitus staff_1_instrument staff_2_ambitus staff_2_instrument staff_3_ambitus staff_3_instrument staff_4_ambitus staff_4_instrument
corpus piece
rachmaninoff_piano op42_01a {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 192.00 125 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 65-79 (F4-G5) Piano 55-69 (G3-A4) Piano <NA> <NA> <NA> <NA>
op42_01b {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 128.25 259 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 48-72 (C3-C5) Piano 29-69 (F1-A4) Piano <NA> <NA> <NA> <NA>
op42_02 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 165.75 383 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 66-81 (F#4-A5) Piano 53-74 (F3-D5) Piano <NA> <NA> <NA> <NA>
op42_03 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 211.00 328 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-86 (E3-D6) Piano 26-70 (D1-Bb4) Piano <NA> <NA> <NA> <NA>
op42_04 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 348.58 310 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 53-92 (F3-G#6) Piano 32-80 (Ab1-G#5) Piano <NA> <NA> <NA> <NA>
op42_05 {1: '3/4', 2: '2/4', 3: '3/4', 4: '2/4', 5: '3... {1: -1} 16 16 44.0 16 16 44.0 136.50 288 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-93 (E3-A6) Piano 33-81 (A1-A5) Piano <NA> <NA> <NA> <NA>
op42_06 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 164.00 419 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-89 (E3-F6) Piano 38-79 (D2-G5) Piano <NA> <NA> <NA> <NA>
op42_07 {1: '3/4'} {1: -1} 18 18 54.0 18 18 54.0 260.50 448 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 53-93 (F3-A6) Piano 26-70 (D1-Bb4) Piano <NA> <NA> <NA> <NA>
op42_08 {1: '3/4'} {1: -1} 15 15 45.0 15 15 45.0 208.50 272 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-68 (E3-Ab4) Piano 26-53 (D1-F3) Piano <NA> <NA> <NA> <NA>
op42_09 {1: '3/4'} {1: -1} 19 19 57.0 19 19 57.0 232.50 403 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-87 (A2-Eb6) Piano 26-73 (D1-C#5) Piano <NA> <NA> <NA> <NA>
op42_10 {1: '4/4', 2: '2/4', 3: '4/4', 5: '2/4', 6: '4... {1: -1} 25 25 85.0 25 25 85.0 232.25 635 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-93 (E3-A6) Piano 29-79 (F1-G5) Piano <NA> <NA> <NA> <NA>
op42_11 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 209.50 400 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-89 (A2-F6) Piano 28-79 (E1-G5) Piano <NA> <NA> <NA> <NA>
op42_12 {1: '3/4', 18: '2/4', 19: '3/4'} {1: -1} 23 23 68.0 23 23 68.0 240.00 336 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-87 (E3-Eb6) Piano 26-77 (D1-F5) Piano <NA> <NA> <NA> <NA>
op42_13a {1: '9/8', 7: '6/8', 8: '9/8', 14: '6/8', 15: ... {1: -1} 17 17 70.5 17 17 70.5 208.50 452 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-86 (E3-D6) Piano 24-65 (C1-F4) Piano <NA> <NA> <NA> <NA>
op42_13b {1: '3/4'} {1: -1, 13: -5} 14 13 157.0 14 13 157.0 383.50 439 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 44-92 (Ab2-Ab6) Piano 23-88 (B0-E6) Piano <NA> <NA> <NA> <NA>
op42_14 {1: '3/4'} {1: -5} 16 16 48.0 16 16 48.0 220.50 173 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 51-68 (Eb3-Ab4) Piano 30-49 (Gb1-Db3) Piano <NA> <NA> <NA> <NA>
op42_15 {1: '9/8', 9: '6/8', 13: '9/8', 21: '6/8'} {1: -5} 26 26 102.0 26 26 102.0 318.00 481 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 68-80 (Ab4-Ab5) Piano 44-77 (Ab2-F5) Piano <NA> <NA> <NA> <NA>
op42_16 {1: '4/4'} {1: -1} 16 15 60.5 16 15 60.5 307.21 469 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 49-89 (C#3-F6) Piano 28-77 (E1-F5) Piano <NA> <NA> <NA> <NA>
op42_17 {1: '4/4', 4: '2/4', 5: '4/4', 8: '2/4', 9: '4... {1: -1} 23 23 96.0 23 23 96.0 244.50 490 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 50-88 (D3-E6) Piano 31-81 (G1-A5) Piano <NA> <NA> <NA> <NA>
op42_18 {1: '9/8'} {1: -1} 16 16 72.0 16 16 72.0 361.00 791 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 49-89 (C#3-F6) Piano 33-74 (A1-D5) Piano <NA> <NA> <NA> <NA>
op42_19 {1: '9/8', 15: '6/8'} {1: -1} 17 17 72.0 17 17 72.0 422.50 927 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-93 (A2-A6) Piano 28-74 (E1-D5) Piano 40-69 (E2-A4) Piano 32-52 (Ab1-E3) Piano
op42_20 {1: '9/8', 16: '6/8', 17: '9/8', 26: '6/8', 28... {1: -1} 44 44 174.0 44 44 174.0 665.42 1052 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 50-93 (D3-A6) Piano 26-81 (D1-A5) Piano <NA> <NA> <NA> <NA>

22 rows × 60 columns

mean_composition_years = utils.corpus_mean_composition_years(all_metadata)
chronological_order = mean_composition_years.index.to_list()
corpus_colors = dict(zip(chronological_order, utils.CORPUS_COLOR_SCALE))
corpus_names = {
    corp: utils.get_corpus_display_name(corp) for corp in chronological_order
}
chronological_corpus_names = list(corpus_names.values())
corpus_name_colors = {
    corpus_names[corp]: color for corp, color in corpus_colors.items()
}
mean_composition_years
corpus
rachmaninoff_piano    1931.0
Name: mean_composition_year, dtype: float64

Composition dates#

This section relies on the dataset’s metadata.

valid_composed_start = pd.to_numeric(all_metadata.composed_start, errors="coerce")
valid_composed_end = pd.to_numeric(all_metadata.composed_end, errors="coerce")
print(
    f"Composition dates range from {int(valid_composed_start.min())} {valid_composed_start.idxmin()} "
    f"to {int(valid_composed_end.max())} {valid_composed_end.idxmax()}."
)
Composition dates range from 1931 ('rachmaninoff_piano', 'op42_01a') to 1931 ('rachmaninoff_piano', 'op42_01a').

Mean composition years per corpus#

def make_summary(metadata_df):
    piece_is_annotated = metadata_df.label_count > 0
    return metadata_df[piece_is_annotated].copy()
Hide source
summary = make_summary(all_metadata)
bar_data = pd.concat(
    [
        mean_composition_years.rename("year"),
        summary.groupby(level="corpus").size().rename("pieces"),
    ],
    axis=1,
).reset_index()

N = len(summary)
fig = px.bar(
    bar_data,
    x="year",
    y="pieces",
    color="corpus",
    color_discrete_map=corpus_colors,
    title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(width=5)
fig.update_layout(**utils.STD_LAYOUT)
fig.update_traces(width=5)
save_figure_as(fig, "pieces_timeline_bars")
fig.show()
summary
TimeSig KeySig last_mc last_mn length_qb last_mc_unfolded last_mn_unfolded length_qb_unfolded all_notes_qb n_onsets ... pdf P86 (composer) staff_1_ambitus staff_1_instrument staff_2_ambitus staff_2_instrument staff_3_ambitus staff_3_instrument staff_4_ambitus staff_4_instrument
corpus piece
rachmaninoff_piano op42_01a {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 192.00 125 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 65-79 (F4-G5) Piano 55-69 (G3-A4) Piano <NA> <NA> <NA> <NA>
op42_01b {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 128.25 259 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 48-72 (C3-C5) Piano 29-69 (F1-A4) Piano <NA> <NA> <NA> <NA>
op42_02 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 165.75 383 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 66-81 (F#4-A5) Piano 53-74 (F3-D5) Piano <NA> <NA> <NA> <NA>
op42_03 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 211.00 328 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-86 (E3-D6) Piano 26-70 (D1-Bb4) Piano <NA> <NA> <NA> <NA>
op42_04 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 348.58 310 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 53-92 (F3-G#6) Piano 32-80 (Ab1-G#5) Piano <NA> <NA> <NA> <NA>
op42_05 {1: '3/4', 2: '2/4', 3: '3/4', 4: '2/4', 5: '3... {1: -1} 16 16 44.0 16 16 44.0 136.50 288 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-93 (E3-A6) Piano 33-81 (A1-A5) Piano <NA> <NA> <NA> <NA>
op42_06 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 164.00 419 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-89 (E3-F6) Piano 38-79 (D2-G5) Piano <NA> <NA> <NA> <NA>
op42_07 {1: '3/4'} {1: -1} 18 18 54.0 18 18 54.0 260.50 448 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 53-93 (F3-A6) Piano 26-70 (D1-Bb4) Piano <NA> <NA> <NA> <NA>
op42_08 {1: '3/4'} {1: -1} 15 15 45.0 15 15 45.0 208.50 272 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-68 (E3-Ab4) Piano 26-53 (D1-F3) Piano <NA> <NA> <NA> <NA>
op42_09 {1: '3/4'} {1: -1} 19 19 57.0 19 19 57.0 232.50 403 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-87 (A2-Eb6) Piano 26-73 (D1-C#5) Piano <NA> <NA> <NA> <NA>
op42_10 {1: '4/4', 2: '2/4', 3: '4/4', 5: '2/4', 6: '4... {1: -1} 25 25 85.0 25 25 85.0 232.25 635 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-93 (E3-A6) Piano 29-79 (F1-G5) Piano <NA> <NA> <NA> <NA>
op42_11 {1: '3/4'} {1: -1} 16 16 48.0 16 16 48.0 209.50 400 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-89 (A2-F6) Piano 28-79 (E1-G5) Piano <NA> <NA> <NA> <NA>
op42_12 {1: '3/4', 18: '2/4', 19: '3/4'} {1: -1} 23 23 68.0 23 23 68.0 240.00 336 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-87 (E3-Eb6) Piano 26-77 (D1-F5) Piano <NA> <NA> <NA> <NA>
op42_13a {1: '9/8', 7: '6/8', 8: '9/8', 14: '6/8', 15: ... {1: -1} 17 17 70.5 17 17 70.5 208.50 452 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 52-86 (E3-D6) Piano 24-65 (C1-F4) Piano <NA> <NA> <NA> <NA>
op42_13b {1: '3/4'} {1: -1, 13: -5} 14 13 157.0 14 13 157.0 383.50 439 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 44-92 (Ab2-Ab6) Piano 23-88 (B0-E6) Piano <NA> <NA> <NA> <NA>
op42_14 {1: '3/4'} {1: -5} 16 16 48.0 16 16 48.0 220.50 173 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 51-68 (Eb3-Ab4) Piano 30-49 (Gb1-Db3) Piano <NA> <NA> <NA> <NA>
op42_15 {1: '9/8', 9: '6/8', 13: '9/8', 21: '6/8'} {1: -5} 26 26 102.0 26 26 102.0 318.00 481 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 68-80 (Ab4-Ab5) Piano 44-77 (Ab2-F5) Piano <NA> <NA> <NA> <NA>
op42_16 {1: '4/4'} {1: -1} 16 15 60.5 16 15 60.5 307.21 469 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 49-89 (C#3-F6) Piano 28-77 (E1-F5) Piano <NA> <NA> <NA> <NA>
op42_17 {1: '4/4', 4: '2/4', 5: '4/4', 8: '2/4', 9: '4... {1: -1} 23 23 96.0 23 23 96.0 244.50 490 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 50-88 (D3-E6) Piano 31-81 (G1-A5) Piano <NA> <NA> <NA> <NA>
op42_18 {1: '9/8'} {1: -1} 16 16 72.0 16 16 72.0 361.00 791 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 49-89 (C#3-F6) Piano 33-74 (A1-D5) Piano <NA> <NA> <NA> <NA>
op42_19 {1: '9/8', 15: '6/8'} {1: -1} 17 17 72.0 17 17 72.0 422.50 927 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 45-93 (A2-A6) Piano 28-74 (E1-D5) Piano 40-69 (E2-A4) Piano 32-52 (Ab1-E3) Piano
op42_20 {1: '9/8', 16: '6/8', 17: '9/8', 26: '6/8', 28... {1: -1} 44 44 174.0 44 44 174.0 665.42 1052 ... https://imslp.org/wiki/Special:ReverseLookup/2058 Q131861 50-93 (D3-A6) Piano 26-81 (D1-A5) Piano <NA> <NA> <NA> <NA>

22 rows × 60 columns

Composition years histogram#

Hide source
hist_data = summary.reset_index()
hist_data.corpus = hist_data.corpus.map(corpus_names)
fig = px.histogram(
    hist_data,
    x="composed_end",
    color="corpus",
    labels=dict(
        composed_end="decade",
        count="pieces",
    ),
    color_discrete_map=corpus_name_colors,
    title=f"Temporal coverage of the {N} annotated pieces in the Distant Listening Corpus",
)
fig.update_traces(xbins=dict(size=10))
fig.update_layout(**utils.STD_LAYOUT)
fig.update_legends(font=dict(size=16))
save_figure_as(fig, "pieces_timeline_histogram", height=1250)
fig.show()

Dimensions#

Overview#

def make_overview_table(groupby, group_name="pieces"):
    n_groups = groupby.size().rename(group_name)
    absolute_numbers = dict(
        measures=groupby.last_mn.sum(),
        length=groupby.length_qb.sum(),
        notes=groupby.n_onsets.sum(),
        labels=groupby.label_count.sum(),
    )
    absolute = pd.DataFrame.from_dict(absolute_numbers)
    absolute = pd.concat([n_groups, absolute], axis=1)
    sum_row = pd.DataFrame(absolute.sum(), columns=["sum"]).T
    absolute = pd.concat([absolute, sum_row])
    return absolute


absolute = make_overview_table(summary.groupby("workTitle"))
# print(absolute.astype(int).to_markdown())
absolute.astype(int)
pieces measures length notes labels
Variations on a Theme of Corelli 22 415 1541 9880 1141
sum 22 415 1541 9880 1141
def summarize_dataset(D):
    all_metadata = D.get_metadata()
    summary = make_summary(all_metadata)
    return make_overview_table(summary.groupby(level=0))


corpus_summary = summarize_dataset(D)
print(corpus_summary.astype(int).to_markdown())
|                    |   pieces |   measures |   length |   notes |   labels |
|:-------------------|---------:|-----------:|---------:|--------:|---------:|
| rachmaninoff_piano |       22 |        415 |     1541 |    9880 |     1141 |
| sum                |       22 |        415 |     1541 |    9880 |     1141 |

Measures#

all_measures = D.get_feature("measures")
print(
    f"{len(all_measures.index)} measures over {len(all_measures.groupby(level=[0,1]))} files."
)
all_measures.head()
417 measures over 22 files.
mc mn quarterbeats duration_qb keysig timesig act_dur mc_offset numbering_offset dont_count barline breaks repeats next
corpus piece i
rachmaninoff_piano op42_01a 0 1 1 0 3.0 -1 3/4 3/4 0 <NA> <NA> <NA> <NA> firstMeasure (2,)
1 2 2 3 3.0 -1 3/4 3/4 0 <NA> <NA> <NA> <NA> <NA> (3,)
2 3 3 6 3.0 -1 3/4 3/4 0 <NA> <NA> <NA> <NA> <NA> (4,)
3 4 4 9 3.0 -1 3/4 3/4 0 <NA> <NA> <NA> <NA> <NA> (5,)
4 5 5 12 3.0 -1 3/4 3/4 0 <NA> <NA> <NA> <NA> <NA> (6,)
all_measures.get_default_analysis().plot_grouped()

Harmony labels#

All symbols, independent of the local key (the mode of which changes their semantics).

try:
    all_annotations = D.get_feature("harmonylabels").df
except Exception:
    all_annotations = pd.DataFrame()
n_annotations = len(all_annotations.index)
includes_annotations = n_annotations > 0
if includes_annotations:
    display(all_annotations.head())
    print(f"Concatenated annotation tables contains {all_annotations.shape[0]} rows.")
    no_chord = all_annotations.root.isna()
    if no_chord.sum() > 0:
        print(
            f"{no_chord.sum()} of them are not chords. Their values are:"
            f" {all_annotations.label[no_chord].value_counts(dropna=False).to_dict()}"
        )
    all_chords = all_annotations[~no_chord].copy()
    print(
        f"Dataset contains {all_chords.shape[0]} tokens and {len(all_chords.chord.unique())} types over "
        f"{len(all_chords.groupby(level=[0,1]))} documents."
    )
    all_annotations["corpus_name"] = all_annotations.index.get_level_values(0).map(
        utils.get_corpus_display_name
    )
    all_chords["corpus_name"] = all_chords.index.get_level_values(0).map(
        utils.get_corpus_display_name
    )
else:
    print("Dataset contains no annotations.")
mc mn quarterbeats quarterbeats_all_endings duration_qb mc_onset mn_onset timesig staff voice ... numeral_or_applied_to_numeral intervals_over_bass intervals_over_root scale_degrees scale_degrees_and_mode scale_degrees_major scale_degrees_minor globalkey localkey chord
corpus piece i
rachmaninoff_piano op42_01a 0 1 1 0 0 3.0 0 0 3/4 2 1 ... i (m3, P5) (m3, P5) (1, 3, 5) (1, 3, 5), minor (1, b3, 5) (1, 3, 5) d i i
1 2 2 3 3 3.0 0 0 3/4 2 1 ... V (M3, P5) (M3, P5) (5, #7, 2) (5, #7, 2), minor (5, 7, 2) (5, #7, 2) d i V
2 3 3 6 6 2.0 0 0 3/4 2 1 ... i (m3, P5) (m3, P5) (1, 3, 5) (1, 3, 5), minor (1, b3, 5) (1, 3, 5) d i i
3 3 3 8 8 1.0 1/2 1/2 3/4 2 1 ... iv (m3, P5, m7) (m3, P5, m7) (4, 6, 1, 3) (4, 6, 1, 3), minor (4, b6, 1, b3) (4, 6, 1, 3) d i iv7
4 4 4 9 9 3.0 0 0 3/4 2 1 ... III (M3, P5) (M3, P5) (7, 2, 4) (7, 2, 4), minor (b7, 2, 4) (7, 2, 4) d i V/III

5 rows × 52 columns

Concatenated annotation tables contains 1116 rows.
Dataset contains 1116 tokens and 456 types over 22 documents.