datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
shelfglance-ucp-category-filter
Shopify's agent-commerce category filter didn't filter on any of 190 stores
Every Shopify store answers an agent-commerce endpoint whose schema declares a category filter. Sent to 200 live stores with a price-filter control: 186 ignored it, 4 rejected every value, 0 filtered.
One row per Shopify storefront that answered its own agent-commerce endpoint (POST /api/ucp/mcp) on 2 September 2026: 190 of 200 sampled from a corpus of 10,099. Each row records what search_catalog… See the full description on the dataset page: https://huggingface.co/datasets/bpm2007/shelfglance-ucp-category-filter.shelfglance-ai-crawler-blocking
133 of 10,099 Shopify stores block an AI crawler. 6 block the one ChatGPT shops with.
The robots.txt of 10,099 Shopify storefronts, read for twelve AI crawlers. 133 block at least one, almost all of them training crawlers by a copied whole-site rule; 13 block a crawler that fetches at answer time, and no store blocks the shopping crawler while allowing the training one.
One row per Shopify storefront, out of 10,099 read between 29 August 2026 and 2 September 2026, whose… See the full description on the dataset page: https://huggingface.co/datasets/bpm2007/shelfglance-ai-crawler-blocking.bpmnbpm_vom-Brocke-and-OMGprocess_bpmnbpm_slides-and-dummas
Dataset Details
Dataset Description
The BPM Instructional Dataset contains instructional content, questions, and answers based on the "Fundamentals of Business Process Management" book by Dumas et al. It includes detailed entries for chapters 1-12, covering process discovery, qualitative and quantitative process analysis, process redesign, process-aware information systems, process implementation, process monitoring, and process improvement. This dataset is intended for… See the full description on the dataset page: https://huggingface.co/datasets/omar8/bpm_slides-and-dummas.bpm-allbpmn-model-ia-generative