Datasets:

heyitsys
/

my-distiset-1e19c746

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': normal
            '1': suspicious
  splits:
    - name: train
      num_bytes: 32772
      num_examples: 94
  download_size: 15606
  dataset_size: 32772
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-1e19c746

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/heyitsys/my-distiset-1e19c746/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/heyitsys/my-distiset-1e19c746/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 1,
    "text": "Hello, my name is Sarah and I\u0027m calling from Microsoft\u0027s Security Team. I\u0027m reaching out to inform you that we\u0027ve received multiple reports of suspicious activity on your Windows account. We\u0027ve detected unauthorized access attempts from an unknown location, and we need to verify your account details to prevent any further issues. Can you please confirm your account information and provide your Windows password to verify your identity?"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("heyitsys/my-distiset-1e19c746", "default")

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

from datasets import load_dataset

ds = load_dataset("heyitsys/my-distiset-1e19c746")