DDSC/nordic-embedding-training-data

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 Danish on text similarity tasks. The dataset is structured for training using InfoNCE loss (also known as SimCSE loss, Cross-Entropy Loss with in-batch negatives, or simply in-batch negatives loss), with hard-negative samples for the tasks of retrieval and unit-triplet. Beware that if fine-tuning the unit-triplets… See the full description on the dataset page: https://huggingface.co/datasets/DDSC/nordic-embedding-training-data.

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