jumafernandez/d2f-turn-embeddings-personachat

Turn embeddings for Personachat (Dialog2Flow encoder) One 768-d float16 vector per utterance of Persona-Chat (Zhang et al., 2018), released within ParlAI, computed with the frozen encoder sergioburdisso/dialog2flow-joint-bert-base (SentenceTransformer recipe, convert_to_numpy, no normalization). The encoder truncates inputs at 64 tokens. If you use these embeddings, please cite the Dialog2Flow paper (Burdisso et al., EMNLP 2024) and the source corpus. Files… See the full description on the dataset page: https://huggingface.co/datasets/jumafernandez/d2f-turn-embeddings-personachat.