IdeaShift: data and card
Browse files- README.md +87 -0
- data/ideashift.parquet +3 -0
README.md
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---
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license: other
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license_name: mixed-see-card
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language:
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- en
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tags:
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- ai-text-detection
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- idea-provenance
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pretty_name: IdeaShift
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size_categories:
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- 1K<n<10K
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extra_gated_prompt: "Access is granted individually. Please say who you are and what you intend to use the data for."
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/ideashift.parquet
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---
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# IdeaShift
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IdeaShift measures whether an AI-text detector tracks **who came up with a document's ideas** or **who wrote its
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prose**. It holds 500 seed documents and, for each, six documents written by GPT-5.6 models from prompts that carry
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progressively more of the seed's plan. All 3,000 generated documents are AI-written prose. When the seed is
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human-written, the later levels carry more and more of a person's ideas.
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## Construction
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- **Seeds:** 500 English web documents from the test split of
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[IdeaLens-1M](https://huggingface.co/datasets/rishanthrajendhran/IdeaLens-1M), 62-63 per format across eight
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long-form formats. 237 are human-written and 263 AI-generated, per the Pangram silver labels of that corpus.
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- **Prompts:** for each seed, GPT-5.6 Sol wrote a prompt at each level:
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| Level | The prompt gives |
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|---|---|
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| 0 | the document type only |
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| 1 | a very high-level focus |
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| 2 | the seed's global themes |
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| 3 | themes and the sequence of roles |
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| 4 | themes and the full outline, as a plan to follow |
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| 5 | the seed's full role-labelled outline, with an instruction to add nothing else |
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- **Generation:** one GPT-5.6 model per seed (Sol for 250 seeds, Terra for 125, Luna for 125) wrote a document from
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each prompt.
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An idea detector should flag every document from an AI seed. On human seeds it should flag fewer documents as the
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level rises, because more of the ideas come from the person. A prose detector should flag every generated document.
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## Fields
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| Field | Description |
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|---|---|
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| `id` | document id; generated documents are `<seed_id>\|<condition>` |
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| `seed_id` | the seed document |
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| `level` | 0-5 for generated documents; null for the seed itself |
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| `level_name` | what the prompt carried |
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| `seed_author` | `human` or `ai`: who wrote the seed (Pangram silver label) |
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| `prose_author` | who wrote this document's prose (`ai` for every generated document) |
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| `generator` | the GPT-5.6 model that wrote the document |
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| `system_prompt`, `prompt` | the exact generation request |
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| `format`, `topic` | WebOrganizer format and topic of the seed |
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| `words`, `text` | the document |
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| `outline` | the paraphrased, role-labelled outline IdeaLens scored (JSON string) |
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| `idealens_p_ai`, `proselens_p_ai`, `pangram4_p_ai` | detector P(AI) as reported in the paper |
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## Caveats
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- Seed labels are Pangram's silver labels of the whole page, not ground truth about how each page was written.
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- A level describes what the prompt contained, not a measured share of human ideas.
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## License
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The seed text comes from FineWeb (ODC-By 1.0) and remains subject to the terms of its original sources and of
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Common Crawl. The generated documents and prompts were produced with OpenAI models and are subject to OpenAI's terms.
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Detector scores and annotations are released under CC BY 4.0.
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## Citation
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```bibtex
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@article{idealens2026,
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title = {IdeaLens: Detecting AI Ideas in Long-form Writing},
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author = {Anonymous},
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journal = {arXiv preprint arXiv:TBD},
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year = {2026},
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url = {https://arxiv.org/abs/TBD}
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}
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```
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data/ideashift.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:139b49ab0f29b797fd83c06cfff878962869954e5827390ba9f34cccf50a49d3
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size 41213640
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