Lingu10-Grocery-FashionRetail-ConsumerTech-LowResource

The Lingu10\u2011Grocery\u2011FashionRetail\u2011ConsumerTech\u2011LowResource dataset is a multilingual, domain\u2011specific conversational corpus designed for training and evaluating chatbots in low\u2011resource languages. It contains prompt\u2013response pairs spanning three key retail domains: grocery, fashion retail, and consumer technology. The dataset covers 10 languages \u2014 including both high\u2011resource and low\u2011resource languages \u2014 and provides domain\u2011adapted dialogues for realistic, product\u2011specific interactions. Each entry contains an English product name along with prompts and responses generated directly in the native language to preserve cultural and linguistic authenticity. The dataset was developed using reproducible, script\u2011driven synthetic generation, ensuring high variability, contextual richness, and avoidance of template\u2011based repetition. This resource supports research in multilingual NLP, low\u2011resource conversational AI, domain adaptation, and cross\u2011lingual chatbot training. Alongside the dataset, we provide complete generation scripts, language mapping files, and seed configurations to enable reproducibility and extension to additional domains or languages. This makes the dataset valuable for both academic research and industry applications in multilingual, domain\u2011specific dialogue systems.