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+ ---
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+ dataset_info:
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+ features:
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+ - name: class_index
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: text
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+ dtype: string
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+ - name: aviation
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: cybersecurity
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: domestic_unrest_violence
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: extreme_weather
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: forced_labor
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: general_biz_trend
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: individual_accidents_tragedies
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: later_report
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: lawsuit_legal_insurance
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: leisure_other_news
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: maritime
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: pandemics_large_scale_diseases
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: railway
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: strike
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: trade_war_embargos_bans
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: transportation_trends_projects
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: war_conflict
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: warehouse_fire
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '0'
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+ '1': '1'
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+ - name: labels
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+ sequence: int64
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+ splits:
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+ - name: train
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+ num_bytes: 303623
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+ num_examples: 540
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+ - name: valid
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+ num_bytes: 101197
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+ num_examples: 180
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+ - name: test
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+ num_bytes: 100901
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+ num_examples: 180
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+ download_size: 177940
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+ dataset_size: 505721
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+ ---
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+ # Dataset Card for "gpt-generated-news-paragraphs"
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+
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+ [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)