First Name
stringclasses 9
values | Last Name
stringclasses 9
values | Gender
stringclasses 2
values | Country
stringclasses 3
values | Age
int64 24
58
| Date
stringclasses 3
values | Id
int64 1.56k
6.55k
|
|---|---|---|---|---|---|---|
Dulce | Abril | Female | United States | 32 | 15/10/2017 | 1,562 |
Mara | Hashimoto | Female | Great Britain | 25 | 16/08/2016 | 1,582 |
Philip | Gent | Male | France | 36 | 21/05/2015 | 2,587 |
Kathleen | Hanner | Female | United States | 25 | 15/10/2017 | 3,549 |
Nereida | Magwood | Female | United States | 58 | 16/08/2016 | 2,468 |
Gaston | Brumm | Male | United States | 24 | 21/05/2015 | 2,554 |
Etta | Hurn | Female | Great Britain | 56 | 15/10/2017 | 3,598 |
Earlean | Melgar | Female | United States | 27 | 16/08/2016 | 2,456 |
Vincenza | Weiland | Female | United States | 40 | 21/05/2015 | 6,548 |
Example DataFrame (Teeny-Tiny Castle)
This dataset is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.
How to Use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/example-data-frame", split = 'train')
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