Update README.md

README.md

@@ -16,4 +16,45 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+language:
+- fra
+license: cc-by-sa-4.0
+task_categories:
+- table-to-text
 ---
+
+
+## Description
+French translation of the [WebNLG](https://huggingface.co/datasets/GEM/web_nlg) dataset.  
+According of the English version dataset card, WebNLG is a bi-lingual dataset (English, Russian) of parallel DBpedia triple sets and short texts that cover about 450 different DBpedia properties. The WebNLG data was originally created to promote the development of RDF verbalisers able to generate short text and to handle micro-planning (i.e., sentence segmentation and ordering, referring expression generation, aggregation); the goal of the task is to generate texts starting from 1 to 7 input triples which have entities in common (so the input is actually a connected Knowledge Graph). The dataset contains about 17,000 triple sets and 45,000 crowdsourced texts in English, and 7,000 triples sets and 19,000 crowdsourced texts in Russian. A challenging test set section with entities and/or properties that have not been seen at training time is available.
+
+You can find the main data card on the [GEM Website](https://gem-benchmark.com/data_cards/web_nlg) and we invite you to consult the paper in the below citation part.
+
+## Citation
+```
+@inproceedings{castro-ferreira-etal-2020-2020,
+    title = "The 2020 Bilingual, Bi-Directional {W}eb{NLG}+ Shared Task: Overview and Evaluation Results ({W}eb{NLG}+ 2020)",
+    author = "Castro Ferreira, Thiago  and
+      Gardent, Claire  and
+      Ilinykh, Nikolai  and
+      van der Lee, Chris  and
+      Mille, Simon  and
+      Moussallem, Diego  and
+      Shimorina, Anastasia",
+    editor = "Castro Ferreira, Thiago  and
+      Gardent, Claire  and
+      Ilinykh, Nikolai  and
+      van der Lee, Chris  and
+      Mille, Simon  and
+      Moussallem, Diego  and
+      Shimorina, Anastasia",
+    booktitle = "Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)",
+    month = "12",
+    year = "2020",
+    address = "Dublin, Ireland (Virtual)",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.webnlg-1.7/",
+    pages = "55--76",
+    abstract = "WebNLG+ offers two challenges: (i) mapping sets of RDF triples to English or Russian text (generation) and (ii) converting English or Russian text to sets of RDF triples (semantic parsing). Compared to the eponymous WebNLG challenge, WebNLG+ provides an extended dataset that enable the training, evaluation, and comparison of microplanners and semantic parsers. In this paper, we present the results of the generation and semantic parsing task for both English and Russian and provide a brief description of the participating systems."
+}
+```