datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lie-detection-rollouts
Lie Detection Rollouts
Assistant completions across many open-weight models on the lie-detection
evaluation suite used by the
deception research pipeline. One subset per model,
one split per task.
Columns
messages — list of OpenAI-style messages. Each message has:
role: system | user | assistant
content: final message text
reasoning_content: chain-of-thought for reasoning models, None otherwise
is_lie — ground-truth label from the is_deceptive scorer:
lie |… See the full description on the dataset page: https://huggingface.co/datasets/ai-safety-institute/lie-detection-rollouts.AI-Peer-Review-Detection-Benchmark
Dataset Card for AI Peer Review Detection Benchmark
Dataset Summary
The AI Peer Review Detection Benchmark dataset is the largest dataset to date of paired human- and AI-written peer reviews for identical research papers. It consists of 788,984 reviews generated for 8 years of submissions to two leading AI research conferences: ICLR and NeurIPS. Each AI-generated review is produced using one of five widely-used large language models (LLMs), including GPT-4o, Claude Sonnet… See the full description on the dataset page: https://huggingface.co/datasets/IntelLabs/AI-Peer-Review-Detection-Benchmark.government-ai-detection
Government AI Text Detection — Results
Completed AI-detection output from the government-ai
pipeline, which measures the prevalence of AI-generated/edited text across
four kinds of US government media, 2000–2026:
source
what
bills
Congressional bill text (as-introduced versions), from govinfo
speeches
Floor speeches + Extensions of Remarks from the Congressional Record
comments
Public comments on regulations.gov (via the Mirrulations mirror)
documents
The… See the full description on the dataset page: https://huggingface.co/datasets/ksasse/government-ai-detection.ai_can_anomaly_detection_data
ai_can_anomaly_detection_data
The rows the detectors in
asana17/ai_can_anomaly_detection
are trained, calibrated and tested on, built from CAN logs by assemble.dataset there.
A run reads them at one revision and records that revision, so the models in
asana17/ai_can_anomaly_detection_runs
each name the data they were fitted on.
python3 -m evaluate.pc.run asana17/ai_can_anomaly_detection_data <revision> out runs_clone
main holds the dataset built from every log. A smaller one… See the full description on the dataset page: https://huggingface.co/datasets/asana17/ai_can_anomaly_detection_data.ai-text-detection-pile
Dataset Card for AI Text Dectection Pile
Dataset Summary
This is a large scale dataset intended for AI Text Detection tasks, geared toward long-form text and essays. It contains samples of both human text and AI-generated text from GPT2, GPT3, ChatGPT, GPTJ.
Here is the (tentative) breakdown:
Human Text
Dataset
Num Samples
Link
Reddit WritingPromps
570k
Link
OpenAI Webtext
260k
Link
HC3 (Human Responses)
58k
Link
ivypanda-essays
TODO
TODO… See the full description on the dataset page: https://huggingface.co/datasets/artem9k/ai-text-detection-pile.ai-detection-dataset-v2
---dataset_info:
features:
- name: image # use the exact column name from your parquet schema
dtype: image # this forces Hugging Face to render it as an image
- name: label
dtype: string
license: other
task_categories:
- image-classification
language:
- en
tags:
- ai-generated-image-detection
- synthetic-image-detection
- diffusion-models
pretty_name: AI-Generated Image Detection Dataset v2
size_categories:
- 10K<n<100K
AI-Generated… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ai-detection-dataset-v2.ai-image-detection-dataset
AI-Image Detection Dataset
Paired real / AI images, with shared image-grounded captions, for training and
evaluating AI-generated-image detectors.
Each of 10,000 real photos is captioned once (BLIP-2) and paired with one synthetic
partner per generator (6 generators → 60,000 AI images). A real image and all of its
AI partners share the same prompt, so the only systematic difference between the
classes is the generative process itself. A detector trained here is pushed toward the… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ai-image-detection-dataset.road-issues-detection-dataset
Road Issues Detection Dataset
Dataset Summary
This comprehensive dataset contains 9,660 high-resolution RGB images categorized for road infrastructure issues detection. The dataset focuses on identifying critical urban infrastructure problems including potholes, damaged roads, broken road signs, illegal parking violations, and environmental cleanliness issues. It has been specifically organized and curated for computer vision and machine learning applications in smart… See the full description on the dataset page: https://huggingface.co/datasets/Programmer-RD-AI/road-issues-detection-dataset.LMD-AI-Detection
LMD AI-Generated Music Detection Benchmark
(Note: The corresponding research paper will be released later.)
Dataset Description
The rapid advancement of AI music generation has raised growing concerns about the authenticity of digital music. While deepfake detection has been extensively studied in the audio domain, symbolic music (MIDI) remains largely unexplored.
This dataset presents a comprehensive benchmark for AI-generated symbolic music detection, examining… See the full description on the dataset page: https://huggingface.co/datasets/dhlee3000/LMD-AI-Detection.ai-detection-routingai-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.ai-text-detection-trainingchinese-ai-detection-dataset
Chinese AI Detection Dataset
中文AI文本检测数据集
数据集简介
用于训练中文AI生成文本检测模型的综合数据集，包含纯人类、纯AI以及混合文本（人类+AI）。
核心特色：使用[SEP]标记显式标注混合文本的人类/AI边界。
数据统计
类型
样本数
说明
总计
66,001
训练/验证/测试集
纯人类
27,719
多领域人类文本
纯AI
27,719
多模型生成
C2 (续写)
3,781
人类开头+AI续写
C3 (改写)
3,781
AI改写人类文本
C4 (润色)
3,001
AI润色人类文本
数据格式
{
"text": "文本内容（混合文本包含[SEP]标记）",
"label": 0, // 0=Human, 1=AI
"category": "C2", // Human/AI/C2/C3/C4
"source": "数据来源"
}… See the full description on the dataset page: https://huggingface.co/datasets/AnxForever/chinese-ai-detection-dataset.ai-text-detection-pile-cleaned
AI Text Detection Pile - Cleaned Dataset
Dataset Description
This is a cleaned and processed version of the AI Text Detection Pile dataset, specifically optimized for training AI vs Human text classification models. The dataset has been carefully preprocessed to remove duplicates, filter by optimal text length, normalize encoding, and ensure balanced class distribution for robust model training.
Dataset Details
Total Samples: 721,626 (cleaned from original… See the full description on the dataset page: https://huggingface.co/datasets/srikanthgali/ai-text-detection-pile-cleaned.shrek-detectionDemo dataset for testing Shrek detection capabilities in images.ai-text-detection-pile
Dataset Card for AI Text Dectection Pile
Dataset Summary
This is a large scale dataset intended for AI Text Detection tasks, geared toward long-form text and essays. It contains samples of both human text and AI-generated text from GPT2, GPT3, ChatGPT, GPTJ.
Here is the (tentative) breakdown:
Human Text
Dataset
Num Samples
Link
Reddit WritingPromps
570k
Link
OpenAI Webtext
260k
Link
HC3 (Human Responses)
58k
Link
ivypanda-essays
TODO
TODO… See the full description on the dataset page: https://huggingface.co/datasets/Mharis205/ai-text-detection-pile.ai-vs-real-image-detectionscribemark-ai-detection-benchmark
🔬 ScribeMark: Master Forensic AI Detection & Multi-Model Provenance Benchmark
Principal Investigator: Debdip Bandyopadhyay (Independent Researcher, debdip1992@outlook.com)Primary GitHub Repository: debdipARVR/AI_Text_Detector-Interactive Hugging Face Space: DebdipCS/cloze-congruence-ai-forensics-hub-v1
📌 Dataset Overview
This repository hosts the canonical benchmark datasets, empirical evaluation logs, and cryptographic forensic verification trails for… See the full description on the dataset page: https://huggingface.co/datasets/DebdipCS/scribemark-ai-detection-benchmark.AI-Text_Detection
About This Dataset
This dataset is derived from the dataset used in the SeqXGPT paper and is uploaded solely for academic and research purposes related to our course project. The dataset is provided as-is and should not be used for any commercial applications or unauthorized activities. Our objective is to facilitate reproducibility and further research in AI-generated text (AIGT) detection.
Here we upload part of its raw data and processed data by using gen_features.py in SeqXGPT… See the full description on the dataset page: https://huggingface.co/datasets/Roxanne-WANG/AI-Text_Detection.camera-detection
Soccer Camera Detection Dataset
A curated dataset for classifying camera characteristics in broadcast soccer video, annotated with 9-class shot scale (CineScale-aligned) and 5-class camera angle (CineScale2-aligned).
Shot Scale Examples
Left: MCU Medium Close-Up — head & shoulders |
Center: LS Long Shot — full body |
Right: ELS Extreme Long Shot — wide pitch view
Camera Angle Examples
Left: HIGH High Angle — elevated broadcast… See the full description on the dataset page: https://huggingface.co/datasets/infactory-ai/camera-detection.realtime-turn-detection-test-data
Realtime speech test recordings
Synthetic speech recordings for black-box Realtime API behavior tests in
Speaches. Each WAV file is the unmodified output of OpenAI
text-to-speech. Tests are responsible for adding silence, combining recordings, and choosing streaming chunk
boundaries for their scenarios.
metadata.jsonl follows the Hugging Face AudioFolder layout. Each record contains the generation inputs, file
digest, expected text, transcription, and word/speech intervals from… See the full description on the dataset page: https://huggingface.co/datasets/speaches-ai/realtime-turn-detection-test-data.ai-image-detection-fakelead-ai-fraud-detection-dataset-v2
Lead.AI Fraud Detection Dataset v2 (Research-Grade)
Dataset Description
This is the second version (v2) of the synthetic fraud detection dataset generated for Lead.AI. This version is significantly upgraded to be research-grade, production-ready, and optimized for Trustworthy AI applications, particularly focusing on Explainable AI (XAI) methods like SHAP and LIME. It simulates realistic transaction data with a controlled class imbalance (1-2% fraud rate).
Why v2?… See the full description on the dataset page: https://huggingface.co/datasets/arun-gharami/lead-ai-fraud-detection-dataset-v2.human-ai-parallel-detection
Dataset Card for human-ai-parallel-detection
Dataset Description
Dataset Summary
The human-ai-parallel-detection dataset contains 600 balanced instances for evaluating methods to distinguish between human-written and AI-generated text continuations. Each instance includes a 500-word human-written prompt followed by parallel continuations from humans, GPT-4o, and LLaMA-70B-Instruct. The dataset includes both style embedding features and LLM-as-judge predictions… See the full description on the dataset page: https://huggingface.co/datasets/ephipi/human-ai-parallel-detection.lead-ai-fraud-detection-dataset
📊 Lead.AI Fraud Detection Dataset
5,000-Row Synthetic Tabular Benchmark — Ready to Train, Ready to Publish
Published by Lead.AI Labs · Author: Arun Kumar Gharami
What This Dataset Is For
A clean, Parquet-formatted, immediately loadable synthetic fraud detection dataset built
for researchers, ML engineers, and course instructors who need realistic tabular financial
data without the legal complexity of real transaction data.
Use it to:
Build and benchmark… See the full description on the dataset page: https://huggingface.co/datasets/arun-gharami/lead-ai-fraud-detection-dataset.testing_kaggle_ai_detection_datasetai-text-detection-pile
Dataset Card for AI Text Dectection Pile
Dataset Summary
This is a large scale dataset intended for AI Text Detection tasks, geared toward long-form text and essays. It contains samples of both human text and AI-generated text from GPT2, GPT3, ChatGPT, GPTJ.
Here is the (tentative) breakdown:
Human Text
Dataset
Num Samples
Link
Reddit WritingPromps
570k
Link
OpenAI Webtext
260k
Link
HC3 (Human Responses)
58k
Link
ivypanda-essays
TODO
TODO… See the full description on the dataset page: https://huggingface.co/datasets/kevknowscode/ai-text-detection-pile.ai-detection-demo-dataset
ai-detection-demo dataset
Companion dataset for imbue-ai/ai-detection-demo
— a research artifact comparing logit-based vs hidden-state-based
classification heads for AI-text-edit detection.
Each row is one of three types:
human_written — verbatim text from a pre-2022 public dataset (so we can
treat it as genuinely human-authored, pre-ChatGPT).
ai_edited — the human source rewritten by an LLM following one of 301
editing instructions.
ai_generated — a fresh LLM write, given only… See the full description on the dataset page: https://huggingface.co/datasets/DarrenJiaImbue/ai-detection-demo-dataset.refcoco_object_detectionInterrogation_Dataset_for_AI_Deception_Detection
Interrogation Dataset for AI Deception Detection
Overview
This dataset is designed for training AI models in deception detection, behavioral analysis, and tactical decision-making during criminal interrogations.
It contains 1600 entries (INT-0001 to INT-1600) in JSONL format, covering various criminal scenarios such as financial crimes, murder, fraud, burglary, physical assault, and molestation.
The dataset reflects realistic law enforcement contexts across diverse global settings… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/Interrogation_Dataset_for_AI_Deception_Detection.