--- size_categories: n<1K task_categories: - text-classification dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': memecoin-launch '1': memecoin '2': crypto splits: - name: train num_bytes: 396 num_examples: 2 download_size: 2267 dataset_size: 396 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft ---

Built with Distilabel

# Dataset Card for memecoin-dataset 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/lajosd/memecoin-dataset/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/lajosd/memecoin-dataset/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration:
Configuration: default
```json { "label": 2, "text": "I just sold my Shiba Inu for 10x profit! I\u0027m loving the surge in demand for Dogecoin and its potential to become the next big thing. Can\u0027t wait to see the price moon and join the Wagmi crew!" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("lajosd/memecoin-dataset", "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("lajosd/memecoin-dataset") ```