UMCU/SNLI_Dutch_translated_with_Marianmt
Information on the dataset: configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 67523459 num_examples: 538896 - name: test num_bytes: 1285789 num_examples: 9792 - name: validation… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/SNLI_Dutch_translated_with_Marianmt.
Information on the dataset:
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 67523459
num_examples: 538896
- name: test
num_bytes: 1285789
num_examples: 9792
- name: validation
num_bytes: 1295645
num_examples: 9792
download_size: 20806553
dataset_size: 70104893Dataset Card for "SNLIDutchtranslatedwithMarianmt"
Translation of the English corpus Stanford Natural Language Inference (SNLI), to Dutch using an Maria NMT model, trained by Helsinki NLP. Note, for reference: Maria NMT is based on BART, described here.
A complete description of the dataset is given here.
Attribution
If you use this dataset please use the following to credit the creators of SNLI:
@inproceedings{snli:emnlp2015,
Author = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},
Booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
Publisher = {Association for Computational Linguistics},
Title = {A large annotated corpus for learning natural language inference},
Year = {2015}
}The creators of the OPUS-MT models:
@InProceedings{TiedemannThottingal:EAMT2020,
author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
year = {2020},
address = {Lisbon, Portugal}
}and
@misc {van_es_2023,
author = { {Bram van Es} },
title = { SNLI_Dutch_translated_with_Marianmt (Revision 9ad7971) },
year = 2023,
url = { https://huggingface.co/datasets/UMCU/SNLI_Dutch_translated_with_Marianmt },
doi = { 10.57967/hf/1268 },
publisher = { Hugging Face }
}License
For both the Maria NMT model and the original Helsinki NLP Opus MT model we did not find a license, if this was in error please let us know and we will add the appropriate licensing promptly.
We adopt the licensing of the SNLI corpus: a Creative Commons Attribution-ShareAlike 4.0 International License.
