README.md

---
dataset_info:
  features:
  - name: class_index
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: text
    dtype: string
  - name: aviation
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: cybersecurity
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: domestic_unrest_violence
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: extreme_weather
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: forced_labor
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: general_biz_trend
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: individual_accidents_tragedies
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: later_report
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: lawsuit_legal_insurance
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: leisure_other_news
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: maritime
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: pandemics_large_scale_diseases
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: railway
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: strike
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: trade_war_embargos_bans
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: transportation_trends_projects
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: war_conflict
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: warehouse_fire
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: labels
    sequence: int64
  splits:
  - name: train
    num_bytes: 303623
    num_examples: 540
  - name: valid
    num_bytes: 101197
    num_examples: 180
  - name: test
    num_bytes: 100901
    num_examples: 180
  download_size: 177940
  dataset_size: 505721
---
# Dataset Card for "gpt-generated-news-paragraphs"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)