Datasets:
text
stringclasses 9
values | label
class label 3
classes |
|---|---|
The product arrived quickly and was exactly what I needed. I’m very satisfied with my purchase. | 1positive
|
The product arrived on time, and I appreciate the quick shipping. However, the color didn't match what was shown online, and the quality was slightly below my expectations. | 2neutral
|
The product arrived on time and works as expected. It's exactly what I needed. | 1positive
|
I received my item promptly, and it matches the description provided. The packaging was intact, and everything seems to be in order. | 1positive
|
The product exceeded my expectations, and I love the quality. Although the packaging was quite simple, it didn't affect my overall satisfaction. I would definitely recommend this to others! | 1positive
|
The staff was very friendly and made us feel welcome, but the food was cold and tasteless. I'm really disappointed with the quality. | 0negative
|
The phone I received is really good quality, but the color doesn't match what was shown online. I'm a bit disappointed, but overall, it works well. | 2neutral
|
The product was exactly what I needed, but the delivery was a bit delayed. Overall, I'm very satisfied with my purchase. | 1positive
|
The product arrived quickly and was well-packaged, but the quality was far below expectations. I'm very disappointed with my purchase. | 0negative
|
Dataset Card for my-distiset-2a824130
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/DavidDo123/my-distiset-2a824130/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/DavidDo123/my-distiset-2a824130/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 1,
"text": "The product arrived quickly and was exactly what I needed. I\u2019m very satisfied with my purchase."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("DavidDo123/my-distiset-2a824130", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("DavidDo123/my-distiset-2a824130")
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