human-ai-text
human_ai_generated_text
Human or AI-Generated Text
The data can be valuable for educators, policymakers, and researchers interested in the evolving education landscape, particularly in detecting or identifying texts written by Humans or Artificial Intelligence systems.
File Name
model_training_dataset.csv
File Structure
id: Unique identifier for each record.
human_text: Human-written content.
ai_text: AI-generated texts.
instructions: Description of the task given to both Humans and… See the full description on the dataset page: https://huggingface.co/datasets/dmitva/human_ai_generated_text.AI-and-Human-Generated-Text
AI & Human Generated Text
I am Using this dataset for AI Text Detection for https://exnrt.com.
Check Original DataSet GitHub Repository Here: https://github.com/panagiotisanagnostou/AI-GA
Description
The AI-GA dataset, short for Artificial Intelligence Generated Abstracts, comprises abstracts and titles. Half of these abstracts are generated by AI, while the remaining half are original. Primarily intended for research and experimentation in natural language… See the full description on the dataset page: https://huggingface.co/datasets/Ateeqq/AI-and-Human-Generated-Text.AI-human-textThis is a processed dataset of Human vs AI Text roughly 400k rows. This is taken from the Kaggle dataset https://www.kaggle.com/datasets/shanegerami/ai-vs-human-text/data then processed and split into training and test sets.
ai-human-text-detection-v1
🧠 AI vs Human Text Detection Dataset (v1)
This dataset merges nine major public and academic corpora to form one of the most comprehensive resources for AI-generated text detection model training and evaluation.
🔗 Sources
The dataset consolidates, cleans, and standardizes multiple open datasets and research benchmarks, each focusing on human vs. AI-generated text classification:
Hello-SimpleAI / HC3 — Human–ChatGPT comparison corpus
gsingh1-py / train — Large-scale… See the full description on the dataset page: https://huggingface.co/datasets/silentone0725/ai-human-text-detection-v1.multi_domain_ai_human_text
multi_domain_ai_human_text — Datasheet
Balanced, multi-domain AI-vs-human text detection benchmark with dedicated
out-of-distribution and adversarial evaluation panels. Built by
scripts/build_paper_dataset.py from an 11-corpus unified aggregation.
Splits
Split
AI
Human
Total
Purpose
train
300,000
300,000
600,000
training (balanced, English, clean)
validation
2,996
2,999
5,995
model selection
test
4,991
4,999
9,990
in-distribution test… See the full description on the dataset page: https://huggingface.co/datasets/acmc/multi_domain_ai_human_text.human-ai-generated-text
Dataset Card for human-ai-generated-text
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/ardavey/human-ai-generated-text/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/ardavey/human-ai-generated-text.