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aedupuga/lego-sizes

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… See the full description on the dataset page: https://huggingface.co/datasets/aedupuga/lego-sizes.

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Dataset Card

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

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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)- aedupuga@andrew.cmu.edu