--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': budget-friendly '1': practical '2': fashionable '3': high-end splits: - name: train num_bytes: 2988 num_examples: 10 download_size: 4866 dataset_size: 2988 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft ---

Built with Distilabel

# Dataset Card for my-distiset-64eab852 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## 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: ```console distilabel pipeline run --config "https://huggingface.co/datasets/apol/my-distiset-64eab852/raw/main/pipeline.yaml" ``` or explore the configuration: ```console 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
```json { "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: ```python 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`: ```python from datasets import load_dataset ds = load_dataset("apol/my-distiset-64eab852") ```