| --- |
| license: mit |
| language: |
| - en |
| pretty_name: BVSR data |
| tags: |
| - ai-scientist |
| - scientific-discovery |
| - creativity |
| --- |
| |
| # BVSR data |
|
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| Paper: [Blind Variation, Selective Retention: Improving Creative Idea Generation in AI Scientists](https://arxiv.org/abs/2611.12184) |
|
|
| Code: [https://github.com/zou-group/BVSR](https://github.com/zou-group/BVSR) |
|
|
| For the selective-retention selector, see [`Xkev/SR-judger`](https://huggingface.co/Xkev/SR-judger). |
|
|
| ## Contents |
|
|
| - `bv_results/`: verified scores and creativity labels of the blind-variation and prompting-baseline proposals on 12 scientific tasks, and the information content of each task context (Figure 2, Table 1). |
| - `sr_data/`: training and evaluation sets of selective retention, with the rankings of every compared method (Figure 3). |
| - `bvsr_simpletes/`: SimpleTES and SimpleTES + BVSR runs on five tasks (Figure 4). |
|
|
| ## Usage |
|
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| `bash reproduce.sh` in the code repository downloads this dataset to `data/` and reproduces Figures 2-4 and Table 1. |
|
|
| ## License |
|
|
| MIT. |
|
|
