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---
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
<!-- Address questions around how the dataset is intended to be used. -->
### 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 |