datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi_domain_ai_human_text
multi_domain_ai_human_text — Datasheet
Balanced, multi-domain AI-vs-human text detection benchmark with dedicated
out-of-distribution and adversarial evaluation panels. Built by
scripts/build_paper_dataset.py from an 11-corpus unified aggregation.
Splits
Split
AI
Human
Total
Purpose
train
300,000
300,000
600,000
training (balanced, English, clean)
validation
2,996
2,999
5,995
model selection
test
4,991
4,999
9,990
in-distribution test… See the full description on the dataset page: https://huggingface.co/datasets/acmc/multi_domain_ai_human_text.ai-human-text-classification
AI vs Human Sentence Classification Dataset
Dataset Summary
sentence_dataset is a sentence-level binary classification dataset containing approximately 9.84 million sentences labelled as either AI-generated (1) or human-written (0).
It was constructed by extracting individual sentences from two source datasets and merging them:
Dataset 1 — ai_vs_human_content_v2_20000.csv: 20,000 rows of short text and code snippets with rich metadata (prompt, topic, source… See the full description on the dataset page: https://huggingface.co/datasets/Nerdy37/ai-human-text-classification.ai_human_texts