Update divemt.py

divemt.py

@@ -6,13 +6,16 @@ import pandas as pd
 from pprint import pprint
 
 _CITATION = """
-@article{sarti-etal-2022-divemt,
-    title={{DivEMT}: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages},
-    author={Sarti, Gabriele and Bisazza, Arianna and Guerberof Arenas, Ana and Toral, Antonio},
-    journal={ArXiv preprint 2205.12215},
-    url={https://arxiv.org/abs/2205.12215},
-    year={2022},
-    month={may}
+@inproceedings{sarti-etal-2022-divemt,
+    title = "{D}iv{EMT}: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages",
+    author = "Sarti, Gabriele and Bisazza, Arianna and Guerberof Arenas, Ana and Toral, Antonio",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.532",
+    pages = "7795--7816",
 }
 """
 
@@ -104,21 +107,16 @@ class DivEMT(datasets.GeneratorBasedBuilder):
                     features[field] = datasets.Sequence(datasets.Value("string"))
                 if field in _LANG_ANNOTATIONS_FIELDS:
                     features[field] = datasets.features.Sequence(
-                        datasets.features.Sequence(
-                            {
-                                "id": datasets.Value("string"),
-                                "text": datasets.Value("string"),
-                                "lemma": datasets.Value("string"),
-                                "upos": datasets.Value("string"),
-                                "xpos": datasets.Value("string"),
-                                "feats": datasets.Value("string"),
-                                "head": datasets.Value("int32"),
-                                "deprel": datasets.Value("string"),
-                                "start_char": datasets.Value("int32"),
-                                "end_char": datasets.Value("int32"),
-                                "ner": datasets.Value("string"),
-                            }
-                        )
+                        {
+                            "lemma": datasets.Value("string"),
+                            "upos": datasets.Value("string"),
+                            "feats": datasets.Value("string"),
+                            "head": datasets.Value("string"),
+                            "deprel": datasets.Value("string"),
+                            "start_char": datasets.Value("int32"),
+                            "end_char": datasets.Value("int32"),
+                            "ner": datasets.Value("string"),
+                        }
                     )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,