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Datasets:
shahxeebhassan
/
human_vs_ai_sentences

Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
100K - 1M
Libraries:
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pandas
License:
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metadata
license: mit
task_categories:
  - text-classification
language:
  - en
size_categories:
  - 100K<n<1M

Dataset Description

This dataset contains 105,000 sentences, each labeled as either human-written (0) or AI-generated (1). It is designed for text classification tasks, particularly for distinguishing between human and AI-generated text.

Dataset Structure

  • Number of Instances: 105,000 sentences
  • Labels:
    • 0: Human-written
    • 1: AI-generated

Usage

This dataset can be used to train models for text classification tasks. Below is an example of how to load and use the dataset with the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("shahxeebhassan/human_vs_ai_sentences")

Data Fields

  • text: The text of the sentence.
  • label: The label indicating whether the sentence is human-written (0) or AI-generated (1).

License

This dataset is licensed under the MIT License.

Task Categories

  • Text Classification

Languages

  • English (en)

Size Categories

  • 100K < n < 1M

Source Data

The sentences in this dataset were collected from various sources to ensure a diverse range of topics and writing styles.

Acknowledgements

This dataset was created to support research and development in the field of AI and text classification.