Upload README.md with huggingface_hub

README.md

@@ -40,7 +40,7 @@ configs:
 
 Expert evaluations of AI-generated creative work, built to separate two signals that single-score benchmarks collapse: **convergence**, where professionals align around shared, checkable standards, and **divergence**, where creative taste legitimately differs. Each AI output is judged by domain professionals through three complementary lenses — forced-choice pairwise comparisons, 1-5 scalar ratings on prompt adherence, usability, and visual appeal, and open-ended written rationale that is coded into themes and sentiment. The benchmark spans five creative domains (ad images, brand design, ad video, desktop apps, landing pages) and three workflow phases (Ideation, Mockup, Refinement), so a model can be assessed not just on whether an output is good, but good according to whom, for what purpose, and at what stage of the creative process.
 
-> **A sample of the human data [Contra Labs](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=human-creativity-benchmark&utm_content=hero) builds on demand.** We are an independent human-data and creative-evaluation lab: expert evaluation, rankings, and benchmarks for AI outputs, plus custom datasets like this one. See [Working with Contra Labs](#working-with-contra-labs).
+>  **[Contra Labs](https://contralabs.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=human-creativity-benchmark&utm_content=hero) builds the human data behind work like this.** This is the full dataset accompanying our paper introducing the Human Creativity Benchmark (HCB). We are an independent human-data and creative-evaluation lab: expert evaluation, rankings, and benchmarks for AI outputs, plus custom datasets like this one. See [Working with Contra Labs](#working-with-contra-labs).
 
 This dataset accompanies the paper *The Human Creativity Benchmark: Studying Convergence and Divergence in an Expert-Labeled Benchmark* (Hopkins, Nulty, Minetti; preprint, June 2026).