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right hand notes
int64
34
874
left hand notes
int64
21
955
measures
int64
8
165
Key Center
int64
0
11
marking
int64
0
5
Target (Composer)
stringclasses
2 values
108
82
16
3
1
Mozart
196
136
29
2
2
Mozart
118
89
24
6
3
Mozart
116
96
25
9
2
Mozart
116
72
21
8
0
Mozart
172
96
16
5
0
Mozart
67
21
8
3
2
Mozart
124
92
14
11
4
Mozart
154
133
21
2
0
Mozart
150
219
20
4
0
Mozart
207
96
17
10
1
Mozart
161
132
16
10
0
Mozart
222
109
25
6
0
Mozart
133
80
16
10
0
Mozart
235
171
32
7
2
Mozart
96
49
13
2
4
Beethoven
104
86
19
6
5
Beethoven
151
189
19
10
2
Beethoven
481
561
31
5
5
Beethoven
356
353
39
8
5
Beethoven
429
335
72
11
4
Beethoven
475
372
49
10
3
Beethoven
619
494
159
3
3
Beethoven
829
329
103
10
3
Beethoven
864
940
146
2
1
Beethoven
486
405
87
6
5
Beethoven
410
483
32
6
5
Beethoven
268
230
32
10
3
Beethoven
166
188
20
0
3
Beethoven
87
64
16
10
1
Beethoven
132
81
14
3
0
Mozart
174
129
31
2
1
Mozart
123
73
26
6
3
Mozart
120
90
25
8
0
Mozart
107
65
27
9
0
Mozart
181
111
11
5
1
Mozart
50
39
11
4
1
Mozart
94
96
14
11
4
Mozart
164
127
18
0
0
Mozart
129
230
23
6
0
Mozart
201
100
24
10
0
Mozart
162
144
18
10
1
Mozart
247
110
21
4
1
Mozart
123
92
18
10
0
Mozart
236
155
27
9
3
Mozart
90
29
12
1
3
Beethoven
95
76
19
6
5
Beethoven
172
189
16
9
1
Beethoven
462
575
30
6
4
Beethoven
354
372
39
8
5
Beethoven
425
343
73
10
3
Beethoven
497
363
47
11
3
Beethoven
616
489
162
3
4
Beethoven
854
355
105
10
4
Beethoven
831
938
144
3
1
Beethoven
513
386
84
5
5
Beethoven
402
488
34
5
4
Beethoven
283
214
35
9
3
Beethoven
172
187
22
1
3
Beethoven
97
54
16
11
1
Beethoven
126
70
14
4
1
Mozart
200
121
31
1
0
Mozart
117
78
26
5
1
Mozart
90
84
23
9
1
Mozart
119
66
25
9
1
Mozart
180
97
18
6
0
Mozart
34
22
9
3
2
Mozart
112
92
15
11
4
Mozart
149
142
23
0
1
Mozart
148
230
22
5
0
Mozart
205
112
22
10
0
Mozart
177
128
16
9
2
Mozart
244
127
25
6
0
Mozart
121
81
18
11
0
Mozart
226
174
25
8
3
Mozart
82
30
10
1
3
Beethoven
121
94
23
6
5
Beethoven
161
174
17
10
1
Beethoven
466
575
34
6
4
Beethoven
357
372
39
8
4
Beethoven
418
328
77
10
4
Beethoven
478
358
48
11
3
Beethoven
622
489
163
3
4
Beethoven
832
336
103
10
5
Beethoven
874
946
142
2
2
Beethoven
487
398
87
4
3
Beethoven
392
488
30
5
5
Beethoven
292
215
35
10
3
Beethoven
161
180
21
0
3
Beethoven
120
62
15
10
0
Beethoven
127
59
20
4
0
Mozart
198
137
29
2
1
Mozart
111
66
24
6
3
Mozart
121
88
22
7
2
Mozart
104
67
22
8
0
Mozart
167
104
16
7
1
Mozart
36
34
10
3
2
Mozart
118
89
17
11
3
Mozart
157
144
19
1
0
Mozart
135
216
21
4
0
Mozart
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Dataset Card for TabularDataHW1

This dataset contains tabular data describing classical music pieces by Beethoven and Mozart, for classification by composer.

Dataset Details

Dataset Description

The original split consists of 30 classical piano pieces, for prediction of whether the composer is either Mozart or Beethoven. The five parameters measured were number of right hand notes, number of left hand notes, number of measures, key center, and marking data. The data was augmented 120 rows of Jittering, 90 rows of Mixup, and 90 rows of CTGAN. Google Gemini was used for code debugging only.

  • Curated by: Ethan Kessler

  • License: MIT

Uses

Direct Use

This dataset is for use in training a classifier model on tabular data

Out-of-Scope Use

More Information Needed

Dataset Structure

The original split consists of 30 classical piano pieces, for prediction of whether the composer is either Mozart or Beethoven. The five parameters measured were number of right hand notes, number of left hand notes, number of measures, key center, and marking data. The labels for the key center are as follows: "A": 0, "Bb": 1, "B": 2, "C": 3, "Db": 4, "D": 5, "Eb": 6, "E": 7, "F": 8, "Gb": 9, "G": 10, "Ab": 11 The labels for the marking data is as follows: 0 = Minuet 1 = Allegro 2 = Andante 3 = Moderato 4 = Allegretto 5 = Dance The data was augmented, using 303 rows of EDA, 202 rows of character level noise, 303 rows of backtranslation, and 202 rows of paraphrasing.

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Data Collection and Processing

The data was collected manually by the dataset author using the recommendation of Microsoft Copilot to select pieces, and open source sheet music was used for analysis.

Who are the source data producers?

Annotations [optional]

Labeling process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Bias, Risks, and Limitations

More Information Needed]

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Dataset Card Contact

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