text
stringclasses 10
values | label
class label 3
classes |
|---|---|
This sleek and luxurious Italian leather backpack features an intricate gold buckle and premium stitching, perfect for carrying your laptop, tablet, and other essentials to and from work or travel. | 3high-end
|
This wallet is crafted from the finest Italian leather, featuring a sleek design and a detachable chain strap. Its interior is divided into multiple compartments to keep your cards and cash organized, making it perfect for a night out on the town. | 3high-end
|
This bespoke 3D knitted sweater features an innovative yarn blend of recycled materials and Tencel fibers, with a subtle gradient effect achieved through a complex interplay of yarn-dyeing techniques and subsequent weaving patterns. The sleeves are asymmetrical, with one longer than the other, creating a visually striking contrast. This design was inspired by the principles of biomimicry and the works of avant-garde artists, resulting in a garment that is both ecologically conscious and aesthetically bold. | 3high-end
|
This designer haute couture gown features intricate hand-beaded embroidery, expertly crafted to accentuate the wearer's curves, with delicate silk and velvet textures combining to create an opulent, regal aesthetic, exuding refinement and poise. | 3high-end
|
This handbag features a sleek, high-quality design with an eco-friendly fabric, a magnetic closure, and a spacious interior with multiple compartments to keep your belongings organized. | 1practical
|
This stylish, high-quality leather handbag features intricate gold-tone hardware and a soft, suede interior. The adjustable shoulder straps allow for a comfortable fit, while the timeless design makes it perfect for everyday use. | 2fashionable
|
This bespoke, handcrafted timepiece features a 40mm stainless steel case, sapphire crystal glass, and an automatic movement, while its intricate engraving and etching add a touch of haute couture elegance. Crafted from 18k gold-plated brass, this intricate horological masterpiece boasts an unparalleled level of craftsmanship. | 3high-end
|
This product features a blend of biomimetic textiles and nanotechnology to create an adaptive layer that regulates body temperature and provides a dynamic aesthetic response to environmental stimuli. | 3high-end
|
This luxurious cashmere coat features an intricately designed, hand-knitted pattern with a subtle sheen, evoking the opulence of a bygone era. The supple cashmere fabric drapes elegantly across the body, providing warmth and sophistication. The fitted silhouette and delicate buttons create a refined look that exudes high-end style. | 3high-end
|
This luxury brand integrates cutting-edge nanotechnology to create a unique fabric weave that repels water and regulates body temperature, ensuring a comfortable and dry feel. The fabric is woven with sustainably sourced materials and is designed to last for years, reducing the need for frequent replacements. This high-end material is perfect for those who value durability and sophistication. | 3high-end
|
Dataset Card for my-distiset-64eab852
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/apol/my-distiset-64eab852/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/apol/my-distiset-64eab852/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 3,
"text": "This sleek and luxurious Italian leather backpack features an intricate gold buckle and premium stitching, perfect for carrying your laptop, tablet, and other essentials to and from work or travel."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("apol/my-distiset-64eab852", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("apol/my-distiset-64eab852")
- Downloads last month
- 6