Update README.md

README.md

@@ -34,7 +34,125 @@ dataset_info:
     num_examples: 19040
   download_size: 58511174
   dataset_size: 104102723
+license: creativeml-openrail-m
+task_categories:
+- sentence-similarity
+language:
+- nl
+pretty_name: Dutch MultiNLI using MariaNMT
+size_categories:
+- 100K<n<1M
 ---
+```
+---
+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"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+Translation of the **English** corpus [Multi-Genre Natural Language Inference (MultiNLI) corpus ](https://cims.nyu.edu/~sbowman/multinli/),
+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://cims.nyu.edu/~sbowman/multinli/), 
+and is available on [HuggingFace](https://huggingface.co/datasets/multi_nli_mismatch).
+
+# Attribution
+
+If you use this dataset please use the following to credit the creators of MultiNLI:
+
+```citation
+@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        = { 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 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).*