ThatsGroes/synthetic-from-text-matching-long-tasks-swedish

Thanks to Arrow Denmark and Nvidia for sponsoring the compute used to generate this dataset The purpose of this dataset is to pre- or post-train embedding models for text matching tasks. The dataset consists of 100,000 samples generated with gemma-2-27b-it. The column "prompt" shows the prompt given to the LLM and "response" shows the LLM output. Each sample in the dataset was generated from a seed task randomly sampled from… See the full description on the dataset page: https://huggingface.co/datasets/ThatsGroes/synthetic-from-text-matching-long-tasks-swedish.