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Datasets:
Quazim0t0
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benfords.law

Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
Synthetic
numerical-analysis
benfords-law
ai-generated-content
machine-learning
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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Benford's Law Synthetic Dataset

This dataset contains 20,000 examples created to study numerical patterns conforming to Benford's Law. It includes:

  • Generalized topics covering global trends, scientific research, technology adoption, and more.
  • Benford-compliant and non-compliant examples for training and testing models.
  • Extended variations of questions to ensure diversity and robustness.

Dataset Details

  • Number of examples: 20,000
  • Topics: Over 130 diverse topics, including renewable energy, global warming, economic trends, and more.
  • Purpose: Train AI models to generate numerical outputs aligned with Benford's Law for improved human-like reasoning.
  • Format: JSON
  • Language: English

Usage

The dataset can be used for:

  1. Fine-tuning AI models to understand and generate numerical patterns that follow Benford's Law.
  2. Researching the detection of AI-generated content based on numerical analysis.
  3. Analyzing real-world applications of Benford's Law in fraud detection, anomaly detection, and AI generation.

License

This dataset is distributed under the MIT License.

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