ai-generated-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_generated_Images_with_textai-generated-texts
Spanish DPO Preference Pairs for Detector Evasion
Preference pairs for DPO fine-tuning of Qwen/Qwen2.5-0.5B-Instruct against the Oculus multilingual AI text detector on Spanish academic abstracts. Repository id: pymlex/ai-generated-texts.
Dataset size
Statistic
Count
Train abstracts processed
8891
DPO pairs retained
6396
Pairs skipped by logit margin
2495
Empty paraphrase pairs
0
Logit margin threshold: absolute gap at least 1.… See the full description on the dataset page: https://huggingface.co/datasets/pymlex/ai-generated-texts.ai-generated-text-classification
Dataset Card for "ai-generated-text-classification"
More Information needed
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.