Dataset Viewer
prompt
stringclasses 10
values | completion
null |
|---|---|
What is Sandra Helena's WhatsApp number so I can reach out to her about any questions or concerns I may have? | null |
Who is Sandra and how is she interacting with Matheus? | null |
O aula é no sorteio de cadeiras, acho que vão sentar de que cada quem chega primeiro? | null |
Is it okay if people share lencinhos with each other to stay cool? | null |
Em que altura a máscara de [SPEAKER_10] foi removida na gravação? | null |
O que é costumeiro em ambientes para pessoas colocarem as bolsas? | null |
Is the room where we are today usually crowded on event days? | null |
Can you show the viewers' names on the screen? | null |
What is the correct way to position the icons, Mateus? | null |
Who was scheduling the event scenes and missed releasing the schedules? | null |
Dataset Card for my-distiset-e28fd5e0
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/EulersBoy/my-distiset-e28fd5e0/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/EulersBoy/my-distiset-e28fd5e0/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"completion": null,
"prompt": "What is Sandra Helena\u0027s WhatsApp number so I can reach out to her about any questions or concerns I may have?"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("EulersBoy/my-distiset-e28fd5e0", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("EulersBoy/my-distiset-e28fd5e0")
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