Datasets:
license: mit
task_categories:
- text-classification
language:
- en
tags:
- ai-generated-text-detection
- generator-shift
size_categories:
- 10K<n<100K
Single-class dataset. Every row is AI-generated (
Is_AI = 1). It is designed to measure generator shift and must be paired with human text, e.g. the human side of HC3 PLUS, to form a balanced detection benchmark.
HC3 Gemini 2.0 Flash Responses
Dataset Description
This dataset contains {len(df_upload):,} AI-generated text samples produced by Google Gemini 2.0 Flash in response to questions from the HC3 (Human ChatGPT Comparison Corpus) benchmark.
It was constructed to evaluate AI-generated text detectors on out-of-distribution generator transfer — specifically, testing whether detectors trained on other generators (ChatGPT, LLaMA, etc.) can detect Gemini-generated text without retraining.
Usage
from datasets import load_dataset
ds = load_dataset("mohamedmady/HC3-Gemini-Flash-Responses")
Dataset Details
| Property | Value |
|---|---|
| Samples | {len(df_upload):,} |
| Generator | Gemini 2.0 Flash |
| Source questions | HC3 benchmark |
| Domain | Question Answering (QA) |
| Language | English |
| Label | All AI-generated (label=1) |
Column Schema
| Column | Type | Description |
|---|---|---|
text |
string | AI-generated response text |
label |
ClassLabel | 1 = AI-generated, 0 = Human |
source |
string | Generator model (gemini-2.0-flash) |
domain |
string | Text domain (qa) |
split |
string | Dataset split (test) |
Context and Citation
This dataset was created for the paper:
DeBERTa-ConPara: Robust AI-Generated Text Detection under Adversarial and Cross-Domain Conditions (EMNLP 2026 submission)
DeBERTa-ConPara v2.4-3k achieves 98.64% AI recall on this dataset under fixed-threshold evaluation (τ*=0.920), demonstrating strong cross-generator generalization to Gemini outputs without any Gemini training data.
@misc{{Mady25-GeminiHC3,
author = {{Mady, Mohamed}},
title = {{HC3 Gemini 2.0 Flash Responses}},
year = {{2025}},
url = {{https://huggingface.co/datasets/mohamedmady/HC3-Gemini-Flash-Responses}},
note = {{Hugging Face dataset}}
}}
License
CC-BY-4.0. The source HC3 questions are from Hello-SimpleAI/HC3. Responses were generated by the authors using the Gemini 2.0 Flash API. """