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aedupuga
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lego-sizes

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Max Length (cm)
float64
0.7
25
Max Height (cm)
float64
0.2
1
Width (cm)
float64
0.7
25
Studs
int64
0
256
Type (Standard/ Flat /Sloped)
stringclasses
4 values
2.4
1
1.5
6
Standard
1.5
1
0.7
2
Standard
6.5
0.3
1.6
16
Flat
4.7
1
0.7
6
Sloped
1.5
1
0.8
1
Sloped
7
0.3
0.7
0
Flat
1.5
0.3
1.5
4
Flat
1.5
1
0.7
2
Standard
2.2
0.3
2.2
8
Flat
3.2
0.3
0.8
4
Flat
1.5
0.9
1.5
4
Regular
0.8
1
0.8
1
Regular
0.7
0.2
0.7
1
Flat
0.7
0.5
0.7
0
Sloped
2.3
1
1.7
2
Sloped
1.5
1
0.7
4
Standard
2.5
1
0.7
3
Standard
2.4
1
0.8
1
Sloped
2.4
1
1.6
2
Sloped
2.4
1
3.2
4
Sloped
3.2
1
1.6
2
Sloped
4.8
1
6.4
0
Sloped
3.2
1
0.8
1
Sloped
3.2
1
1.6
8
Standard
2.4
1
0.8
3
Standard
0.8
0.3
0.8
1
Flat
25
0.6
25
256
Flat
3.2
0.5
3.2
12
Flat
4.8
0.3
4.8
36
Flat
9.6
1
0.8
12
Standard

Dataset Card for aedupuga/lego-sizes

Dataset Description

This Dataset consists of lego piece descriptions: Height, Length, Width, Number of Studs, and the type of piece (Standard/Flat/Sloped). It was created as a practice in tabular text generation and augmentation.

  • Curated by: Anuhya Edupuganti

Uses

Direct Use

  • Training and evaluating classification models ( standard vs flat vs sloped lego pieces)
  • experimentation with tabular dataset generation and augmentation

Dataset Structure

This data set contains teo splits:

  • original: 30 samples of lego brick dimentions
  • augmented: 300 examples (synthetically generated to balance and expand the dataset).

Each row includes:

  • Max Length (cm): maximum length of the lego brick in centimeters
  • Max Height (cm): maximum height of the lego brick in centimeters without stud height
  • Width (cm): width of the lego brick
  • 'Studs': number of studs on the brick
  • 'Type (Standard/Flat/Sloped)': classification of the lego brick type

Curation Rationale

This dataset was generated as a practice in tabular dataset creation and augmentation.

Data Collection and Processing

  • Original data collected by measuring dimensions of lego pieces.
  • Augmentation generated with jitter method.

Bias, Risks, and Limitations

  • Small sample size: Only 30 original samples.
  • Synthetic augmentation: Does not capture real-world variation lego brick sizes.

Recommendations

  • use primarily to practice classification methods.

Dataset Card Contact

Anuhya Edupuganti (Carnegie Mellon Univerity)- [email protected]

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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
330

Models trained or fine-tuned on aedupuga/lego-sizes