Datasets:
Tasks:
Zero-Shot Classification
Modalities:
Text
Formats:
csv
Languages:
Hebrew
Size:
10K - 100K
ArXiv:
License:
metadata
license: apache-2.0
language:
- he
task_categories:
- zero-shot-classification
MevakerConcTree
A dataset intended for the conclusion allocation task. The dataset represents several states of pre-allocated conclusions to a given hierarchical heading structure.
Citing
If you use MevakerConcTree in your research, please cite HeRo: RoBERTa and Longformer Hebrew Language Models.
@article{shalumov2023hero,
title={HeRo: RoBERTa and Longformer Hebrew Language Models},
author={Vitaly Shalumov and Harel Haskey},
year={2023},
journal={arXiv:2304.11077},
}