metadata
language:
- en
size_categories:
- 100K<n<1M
Dataset Card for SentEval Clone
SentEval is a library for evaluating the quality of sentence embeddings. We assess their generalization power by using them as features on a broad and diverse set of "transfer" tasks. SentEval currently includes 17 downstream tasks. We also include a suite of 10 probing tasks which evaluate what linguistic properties are encoded in sentence embeddings. Our goal is to ease the study and the development of general-purpose fixed-size sentence representations.
Citation Information
@article{conneau2018senteval,
title={SentEval: An Evaluation Toolkit for Universal Sentence Representations},
author={Conneau, Alexis and Kiela, Douwe},
journal={arXiv preprint arXiv:1803.05449},
year={2018}
}