50,000 synthetic records for product-level carbon and water footprint prediction in textiles, generated by a 7-layer LLM-orchestrated pipeline with deterministic C99 calculation engines. Developed at the University of Amsterdam.
The textile industry faces mounting regulatory pressure under the EU ESPR and Digital Product Passport mandate to quantify product-level environmental footprints.… See the full description on the dataset page:
https://huggingface.co/datasets/Tr4m0ryp/espresso-v2-carbon-water-data.
