langformers/allnli-mimic-embedding
ALLNLI for Mimicking Vector Space Description This dataset contains sentences from the ALLNLI dataset, which is a combination of the SNLI and MultiNLI datasets. It is designed for training a student model to mimic the vector space of a teacher model. This dataset is particularly useful for tasks involving embedding loss computation, where the student model learns to replicate the teacher model's embeddings. All the "anchor" and "positive" sentences from the… See the full description on the dataset page: https://huggingface.co/datasets/langformers/allnli-mimic-embedding.
ALLNLI for Mimicking Vector Space
Description
This dataset contains sentences from the ALLNLI dataset, which is a combination of the SNLI and MultiNLI datasets. It is designed for training a student model to mimic the vector space of a teacher model. This dataset is particularly useful for tasks involving embedding loss computation, where the student model learns to replicate the teacher model's embeddings. All the "anchor" and "positive" sentences from the ALLNLI dataset are included, with redundant sentences removed.
Usage
You can load the dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset('langformers/allnli-mimic-embedding')