---
annotations_creators:
- found
language_creators:
- found
language:
- en
license: mit
multilinguality: monolingual
size_categories:
- 100<n<1K
source_datasets:
- original
task_categories:
- tabular-classification
pretty_name: ImageDataHW1
---

# 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

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More Information Needed

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

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

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### Source Data

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#### Data Collection and Processing

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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?

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### Annotations [optional]

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#### Labeling process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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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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