Update multitacred.py

multitacred.py

@@ -81,18 +81,19 @@ _CITATION = """\
 """
 
 _DESCRIPTION = """\
-MultiTACRED is a multilingual version of the large-scale [https://nlp.stanford.edu/projects/tacred/](TAC Relation 
-Extraction Dataset). It covers 12 typologically diverse languages from 9 language families, and was created by the 
-Speech & Language Technology group of DFKI by machine-translating the instances of the original TACRED dataset and 
-automatically projecting their entity annotations. For details of the original TACRED's data collection and 
-annotation process, see the [https://aclanthology.org/D17-1004/](original paper). Translations are syntactically 
-validated by checking the correctness of the XML tag markup. Any translations with an invalid tag structure, e.g. 
-missing or invalid head or tail tag pairs, are discarded (on average, 2.3% of the instances).
+MultiTACRED is a multilingual version of the large-scale TAC Relation Extraction Dataset 
+(https://nlp.stanford.edu/projects/tacred). It covers 12 typologically diverse languages from 9 language families, 
+and was created by the Speech & Language Technology group of DFKI (https://www.dfki.de/slt) by machine-translating the
+instances of the original TACRED dataset and automatically projecting their entity annotations. For details of the 
+original TACRED's data collection and annotation process, see the Stanford paper (https://aclanthology.org/D17-1004/). 
+Translations are syntactically validated by checking the correctness of the XML tag markup. Any translations with an 
+invalid tag structure, e.g. missing or invalid head or tail tag pairs, are discarded (on average, 2.3% of the 
+instances).
 
 Languages covered are: Arabic, Chinese, Finnish, French, German, Hindi, Hungarian, Japanese, Polish,
  Russian, Spanish, Turkish. Intended use is supervised relation classification. Audience - researchers.
 
- Please see [https://arxiv.org/abs/2305.04582](our ACL paper) for full details.
+ Please see our ACL paper (https://arxiv.org/abs/2305.04582) for full details.
 
 NOTE: This Datasetreader supports a reduced version of the original TACRED JSON format with the following changes:
 - Removed fields: stanford_pos, stanford_ner, stanford_head, stanford_deprel, docid
@@ -108,9 +109,8 @@ _generate_examples()):
 NOTE 2: The MultiTACRED dataset offers an additional 'split', namely the backtranslated test data (translated to a
 target language and then back to English). To access this split, use dataset['backtranslated_test'].
 
-You can find the TACRED dataset reader for the English version of the dataset 
-[here](https://huggingface.co/datasets/DFKI-SLT/tacred).
-
+You can find the TACRED dataset reader for the English version of the dataset at 
+https://huggingface.co/datasets/DFKI-SLT/tacred.
 """
 
 _HOMEPAGE = "https://github.com/DFKI-NLP/MultiTACRED"