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4 classes
The representative I spoke to was incredibly patient and resolved my issue within minutes, even though I was quite frustrated initially.
2customer-service
The package arrived much earlier than I expected, which was a pleasant surprise!
0shipping-speed
The fabric of this shirt feels cheap and started fraying after just one wash. I expected better durability for the price.
1product-quality
The product is decent, but I feel like I paid a bit too much for what it offers. There are similar items available at a lower cost elsewhere.
4price
The product is decent, but I expected better quality for the amount I paid. It feels a bit overpriced compared to similar items I've bought before.
4price
The fabric feels cheap and the stitching came undone after just one wash. I expected better durability for the price.
1product-quality
The product is decent, but I feel like it's a bit overpriced for what you get. There are cheaper alternatives with similar quality.
4price
The fabric of this shirt feels cheap and started fraying after just two washes. I expected better durability for the price.
1product-quality
The fabric of this shirt feels cheap and started fraying after just two washes. I expected better durability for the price.
1product-quality
The product is decent, but I feel like it's a bit overpriced for what you get. There are similar items available for much less.
4price

Built with Distilabel

Dataset Card for my-distiset-c71f8b83

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/hzm7512/my-distiset-c71f8b83/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/hzm7512/my-distiset-c71f8b83/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "label": 2,
    "text": "The representative I spoke to was incredibly patient and resolved my issue within minutes, even though I was quite frustrated initially."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("hzm7512/my-distiset-c71f8b83", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("hzm7512/my-distiset-c71f8b83")
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