IdeaLens
Collection
Detectors of whose ideas a document contains (IdeaLens) and who wrote it (ProseLens), plus their data. Code: github.com/RishanthRajendhran/IdeaLens • 16 items • Updated
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TwiceTold
TwiceTold holds 50 short stories that people wrote from scratch, each working only from the outline of an AI-generated story, together with the 50 AI stories those outlines came from. The ideas in every story are the AI's. The prose of the 50 rewrites is human. A detector of who wrote the prose should call the rewrites human. A detector of whose ideas they are should call them AI. The name comes from Nathaniel Hawthorne's Twice-Told Tales.
Construction
- AI stories: GPT-5.6 Sol (high reasoning effort) wrote a 500-word story for each of 50 genres, from the prompt "Write me a 500 word story in {genre}".
- Outlines: an outline of each AI story was extracted: an ordered list of
[Role] contentitems. - Rewrites: 17 computer science graduate students and faculty each received one or more outlines, and wrote the story in person rather than through crowdsourcing, to reduce the chance of AI use during writing.
Writers are identified only by pseudonymous ids (W01-W17). No other information about them is included.
Splits
| Split | Rows | What it holds |
|---|---|---|
human_rewrite |
50 | the stories people wrote from the outlines |
ai_original |
50 | the AI stories those outlines came from |
A rewrite and its original share story. load_dataset("rishanthrajendhran/TwiceTold", split="human_rewrite") loads the
rewrites.
Fields
| Field | Description |
|---|---|
id |
twicetold_NN_human (the rewrite) or twicetold_NN_ai (the original AI story) |
story |
pair number (1-50): a rewrite and its original share it |
kind |
which of the two this row is |
prose_author |
human for rewrites, ai for originals |
idea_author |
ai for both |
writer |
pseudonymous writer id (rewrites only) |
genre |
the story's genre |
generation_prompt |
the prompt that produced the original AI story |
writer_outline |
the outline the writer worked from, one [Role] content line per item |
words, text |
the story |
idealens_p_ai, proselens_p_ai |
IdeaLens and ProseLens P(AI), as reported in the paper |
editlens_score, pangram4_p_ai |
EditLens-3B score; Pangram 4 weighted P(AI), its AI fraction plus half its AI-assisted fraction (flagged as AI at 0.5 or above) |
Caveats
- Fifty stories in one domain (short fiction) is a small evaluation set.
Scoring
The idealens package (PyPI) runs IdeaLens, ProseLens and the other released detectors on these documents: pip install idealens, then idealens run on a JSONL file with a text field.
All IdeaLens models and datasets are in the IdeaLens collection.
License
The human-written stories are released under CC BY 4.0. The original AI stories and outlines were produced with OpenAI models and are subject to OpenAI's terms.
Citation
@article{idealens2026,
title = {IdeaLens: Detecting AI Ideas in Long-form Writing},
author = {Anonymous},
journal = {arXiv preprint arXiv:TBD},
year = {2026},
url = {https://arxiv.org/abs/TBD}
}
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