Update quac_expanded.py

quac_expanded.py

@@ -20,8 +20,7 @@ import json
 import datasets
 
 
-_CITATION = """\
-@inproceedings{choi-etal-2018-quac,
+_CITATION = """\\n@inproceedings{choi-etal-2018-quac,
 title = "QUAC: Question answering in context",
 abstract = "We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context, as we show in a detailed qualitative evaluation. We also report results for a number of reference models, including a recently state-of-the-art reading comprehension architecture extended to model dialog context. Our best model underperforms humans by 20 F1, suggesting that there is significant room for future work on this data. Dataset, baseline, and leaderboard available at http://quac.ai.",
 author = "Eunsol Choi and He He and Mohit Iyyer and Mark Yatskar and Yih, {Wen Tau} and Yejin Choi and Percy Liang and Luke Zettlemoyer",
@@ -36,8 +35,7 @@ note = "2018 Conference on Empirical Methods in Natural Language Processing, EMN
 }
 """
 
-_DESCRIPTION = """\
-Question Answering in Context is a dataset for modeling, understanding,
+_DESCRIPTION = """\\nQuestion Answering in Context is a dataset for modeling, understanding,
 and participating in information seeking dialog. Data instances consist
 of an interactive dialog between two crowd workers: (1) a student who
 poses a sequence of freeform questions to learn as much as possible
@@ -159,4 +157,5 @@ class Quac(datasets.GeneratorBasedBuilder):
                             "answer": answer,
                             "orig_answer": orig_answer,
                         }
-                        _id += 1
+                        _id += 1
+                        context += '\n'+question+'\n'+answer