Datasets:

valcarese
/

Data

size_categories: n<1K
task_categories:
  - text-classification
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': concerning
            '1': unconcerning
            '2': unsure
  splits:
    - name: train
      num_bytes: 34797
      num_examples: 92
  download_size: 19669
  dataset_size: 34797
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for Data

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/valcarese/Data/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/valcarese/Data/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 0,
    "text": "The living room is cluttered with dirty laundry and old newspapers. There are broken appliances and torn furniture scattered all over the floor. The air is stale and smells of mold. The residents seem disorganized and confused."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("valcarese/Data", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("valcarese/Data")