README.md

---
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: 70104893
license: cc-by-sa-4.0
language:
- nl
tags:
- generic
- sentence similarity
pretty_name: Dutch translation of SNLI corpus with Maria NMT
size_categories:
- 100K<n<1M
task_categories:
- sentence-similarity
---
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: 70104893
```
# Dataset Card for "SNLI_Dutch_translated_with_Marianmt"

Translation of the **English** corpus [Stanford Natural Language Inference (SNLI)](https://nlp.stanford.edu/projects/snli/),
to **Dutch** using an [Maria NMT model](https://marian-nmt.github.io/), trained by [Helsinki NLP](https://huggingface.co/Helsinki-NLP/opus-mt-en-nl).
Note, for reference: Maria NMT is based on [BART](https://huggingface.co/docs/transformers/model_doc/bart), described [here](https://arxiv.org/abs/1910.13461).

A complete description of the dataset is given [here](https://huggingface.co/datasets/snli).


# Attribution

If you use this dataset please use the following to credit the creators of SNLI:

```citation
@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](https://twitter.com/HelsinkiNLP) [Opus MT model](https://huggingface.co/Helsinki-NLP) 
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](http://creativecommons.org/licenses/by-sa/4.0/).