Datasets:

aedupuga
/

lego-sizes

dataset_info:
  features:
    - name: Max Length (cm)
      dtype: float64
    - name: Max Height (cm)
      dtype: float64
    - name: Width (cm)
      dtype: float64
    - name: Studs
      dtype: int64
    - name: Type (Standard/ Flat /Sloped)
      dtype: string
  splits:
    - name: original
      num_bytes: 1258
      num_examples: 30
    - name: augmented
      num_bytes: 12580
      num_examples: 300
  download_size: 13938
  dataset_size: 13838
configs:
  - config_name: default
    data_files:
      - split: original
        path: data/original-*
      - split: augmented
        path: data/augmented-*

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)- aedupuga@andrew.cmu.edu