--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: labels sequence: class_label: names: '0': distress '1': engagement '2': neutral '3': avoidance splits: - name: train num_bytes: 1605 num_examples: 8 download_size: 2978 dataset_size: 1605 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft ---

Built with Distilabel

# Dataset Card for my-distiset-1e19c746 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/sssssssssgjbhmuy/my-distiset-1e19c746/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/sssssssssgjbhmuy/my-distiset-1e19c746/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration:
Configuration: default
```json { "labels": [ 1, 0, 2, 3 ], "text": "The boy\u0027s eyes were fixed on the image, his brow furrowed in a mixture of fascination and unease as he tried to process the unexpected content." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("sssssssssgjbhmuy/my-distiset-1e19c746", "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("sssssssssgjbhmuy/my-distiset-1e19c746") ```