ericssonbear/mr-right-zhtw-embeddings

Mr. Right zh-TW — pre-computed document embeddings The deployed document bank (zhen_img_v2) for the Mr. Right zh-TW corpus: one 4096-dimensional vector per document, covering all 769,245 documents. Encoding all of them takes multiple GPU-days and requires the full 1.2 TB image tree. This repository exists so you can skip both and go straight to retrieval. file shape / size notes emb.npy (769245, 4096) float16, 6.3 GB L2-normalised — cosine similarity is a plain dot… See the full description on the dataset page: https://huggingface.co/datasets/ericssonbear/mr-right-zhtw-embeddings.