metadata

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

Dataset Card for memecoin-dataset

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/lajosd/memecoin-dataset/raw/main/pipeline.yaml"

or explore the configuration:

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

{
    "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:

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:

from datasets import load_dataset

ds = load_dataset("lajosd/memecoin-dataset")