Rename bertic_data to xlm-r-bertic-data

bertic_data.py → xlm-r-bertic-data.py

@@ -24,34 +24,10 @@ _URLS = {
 _HOMEPAGE = _URL
 
 _DESCRIPTION = """\
-Data used to train BERTić model and its successors.
+Data used to train XLM-Roberta-Bertić.
 """
 _CITATION = r"""
-@inproceedings{ljubesic-lauc-2021-bertic,
-    title = "{BERT}i{\'c} - The Transformer Language Model for {B}osnian, {C}roatian, {M}ontenegrin and {S}erbian",
-    author = "Ljube{\v{s}}i{\'c}, Nikola  and
-      Lauc, Davor",
-    editor = "Babych, Bogdan  and
-      Kanishcheva, Olga  and
-      Nakov, Preslav  and
-      Piskorski, Jakub  and
-      Pivovarova, Lidia  and
-      Starko, Vasyl  and
-      Steinberger, Josef  and
-      Yangarber, Roman  and
-      Marci{\'n}czuk, Micha{\l}  and
-      Pollak, Senja  and
-      P{\v{r}}ib{\'a}{\v{n}}, Pavel  and
-      Robnik-{\v{S}}ikonja, Marko",
-    booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing",
-    month = apr,
-    year = "2021",
-    address = "Kiyv, Ukraine",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2021.bsnlp-1.5",
-    pages = "37--42",
-    abstract = "In this paper we describe a transformer model pre-trained on 8 billion tokens of crawled text from the Croatian, Bosnian, Serbian and Montenegrin web domains. We evaluate the transformer model on the tasks of part-of-speech tagging, named-entity-recognition, geo-location prediction and commonsense causal reasoning, showing improvements on all tasks over state-of-the-art models. For commonsense reasoning evaluation we introduce COPA-HR - a translation of the Choice of Plausible Alternatives (COPA) dataset into Croatian. The BERTi{\'c} model is made available for free usage and further task-specific fine-tuning through HuggingFace.",
-}"""
+To be added soon."""
 
 
 class BerticData(datasets.GeneratorBasedBuilder):