---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: sentence1
    dtype: string
  - name: sentence2
    dtype: string
  - name: annotator_labels
    sequence: string
  - name: genre
    dtype: string
  - name: gold_label
    dtype: string
  - name: pairID
    dtype: string
  splits:
  - name: train
    num_bytes: 92877120
    num_examples: 380800
  - name: validation
    num_bytes: 5903876
    num_examples: 19392
  - name: test
    num_bytes: 5321727
    num_examples: 19040
  download_size: 58511174
  dataset_size: 104102723
---

Dataset Card for "MultiNLI_Dutch_translated_with_Marianmt"

Translation of the English corpus Multi-Genre Natural Language Inference (MultiNLI) corpus , specifically the mismatched version, 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, and is available on HuggingFace.

Attribution

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

@InProceedings{N18-1101,
  author = "Williams, Adina
            and Nangia, Nikita
            and Bowman, Samuel",
  title = "A Broad-Coverage Challenge Corpus for 
           Sentence Understanding through Inference",
  booktitle = "Proceedings of the 2018 Conference of 
               the North American Chapter of the 
               Association for Computational Linguistics:
               Human Language Technologies, Volume 1 (Long
               Papers)",
  year = "2018",
  publisher = "Association for Computational Linguistics",
  pages = "1112--1122",
  location = "New Orleans, Louisiana",
  url = "http://aclweb.org/anthology/N18-1101"
}

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        = { MultiNLI_Dutch_translated_with_Marianmt (Revision 284d39a) },
    year         = 2023,
    url          = { https://huggingface.co/datasets/UMCU/MultiNLI_Dutch_translated_with_Marianmt },
    doi          = { 10.57967/hf/1417 },
    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 MultiNLI corpus, which is stated as follows in the accompanying publication: The majority of the corpus is released under the OANC’s license, which allows all content to be freely used, modified, and shared under permissive terms. The data in the FICTION section falls under several permissive licenses; Seven Swords is available under a Creative Commons Share-Alike 3.0 Unported License, and with the explicit permission of the author, Living History and Password Incorrect are available under Creative Commons Attribution 3.0 Unported Licenses; the remaining works of fiction are in the public domain in the United States (but may be licensed differently elsewhere).