Datasets:

tau
/

zero_scrolls

@@ -36,7 +36,7 @@ https://scrolls-benchmark.com/
 """
 _SUMM_SCREEN_DESCRIPTION = """
-SummScreenFD (Chen  et al., 2021) is a summarization dataset in the domain of TV shows (e.g. Friends, Game of Thrones).
 Given a transcript of a specific episode, the goal is to produce the episode's recap.
 The original dataset is divided into two complementary subsets, based on the source of its community contributed transcripts.
 For SCROLLS, we use the ForeverDreaming (FD) subset, as it incorporates 88 different shows,
@@ -57,7 +57,7 @@ Annotators were tasked with writing queries about the broad contents of the meet
 while ensuring that the relevant text for answering each query spans at least 200 words or 10 turns."""
 _NARRATIVE_QA_DESCRIPTION = """
-NarrativeQA (Kočiský et al., 2021) is an established question answering dataset over entire books from Project Gutenberg and movie scripts from different websites.
 Annotators were given summaries of the books and scripts obtained from Wikipedia, and asked to generate question-answer pairs,
 resulting in about 30 questions and answers for each of the 1,567 books and scripts.
 They were encouraged to use their own words rather then copying, and avoid asking yes/no questions or ones about the cast.
@@ -96,7 +96,7 @@ Given 50 hotel reviews (without their ratings) from the Space dataset (Angelidis
 """
 _BOOK_SUM_DESCRIPTION = """
-BookSumSort is a new task based on the BookSum dataset (Kry ́sci ́nski et al., 2021), which contains summaries of chapters (or parts) of novels, plays, and long poems from various sources.
 Given a shuffled list of chapter summaries, the task is to reorder them according to the original order of summaries in BookSum.
 """

 """
 _SUMM_SCREEN_DESCRIPTION = """
+SummScreenFD (Chen  et al., 2022) is a summarization dataset in the domain of TV shows (e.g. Friends, Game of Thrones).
 Given a transcript of a specific episode, the goal is to produce the episode's recap.
 The original dataset is divided into two complementary subsets, based on the source of its community contributed transcripts.
 For SCROLLS, we use the ForeverDreaming (FD) subset, as it incorporates 88 different shows,
 while ensuring that the relevant text for answering each query spans at least 200 words or 10 turns."""
 _NARRATIVE_QA_DESCRIPTION = """
+NarrativeQA (Kočiský et al., 2018) is an established question answering dataset over entire books from Project Gutenberg and movie scripts from different websites.
 Annotators were given summaries of the books and scripts obtained from Wikipedia, and asked to generate question-answer pairs,
 resulting in about 30 questions and answers for each of the 1,567 books and scripts.
 They were encouraged to use their own words rather then copying, and avoid asking yes/no questions or ones about the cast.
 """
 _BOOK_SUM_DESCRIPTION = """
+BookSumSort is a new task based on the BookSum dataset (Kry ́sci ́nski et al., 2022), which contains summaries of chapters (or parts) of novels, plays, and long poems from various sources.
 Given a shuffled list of chapter summaries, the task is to reorder them according to the original order of summaries in BookSum.
 """