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IdeaShift: data and card

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README.md ADDED
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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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+
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+ # IdeaShift
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+
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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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+
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+ ## Construction
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Fields
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+
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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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+
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+ ## Caveats
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+
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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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+
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+ ## License
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+
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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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+
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+ ## Citation
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+
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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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