aidetection
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-detection-routingai-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.ai-detection-demo-gemma-logits
ai-detection-demo — Gemma 4 E4B logits
Pre-computed last-token vocabulary logits from int4-quantized
google/gemma-4-E4B-it,
applied over
DarrenJiaImbue/ai-detection-demo-dataset.
These logits are the training input to
DarrenJiaImbue/ai-detection-demo-gemma_4_e4b,
the linear-probe classification head.
Structure
├── train/
│ ├── logits.npy (14000, 262144) fp16
│ ├── labels.npy (14000,) int64 — cosine-distance bucket 0..3
│ └── meta.json
├── val/
│… See the full description on the dataset page: https://huggingface.co/datasets/DarrenJiaImbue/ai-detection-demo-gemma-logits.AI-detectionai-detection-booksum-complete-cleaned-human-splitted