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.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.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.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.