长文档数据集
SCROLLS: Standardized CompaRison Over Long Language Sequences
What is SCROLLS?
SCROLLS is a suite of datasets that require synthesizing information over long texts. The benchmark includes seven natural language tasks across multiple domains, including summarization, question answering, and natural language inference.
https://www.scrolls-benchmark.com/
https://www.scrolls-benchmark.com/tasks
GovReport
Huang et al., 2021
Summarization of long reports from the Congressional Research Service and the U.S. Government Accountability Office.
jsonl.zip
SummScreenFD
Chen et al., 2021
Summarizing episodes of TV shows from their scripts.
jsonl.zip
QMSum
Zhong et al., 2021
Query-based summarization over meeting transcripts.
jsonl.zip
NarrativeQA
Kočiský et al., 2018
Question answering about entire books and movie scripts.
jsonl.zip
Qasper
Dasigi et al., 2021
Question answering over research papers.
jsonl.zip
QuALITY
Pang et al., 2021
Multiple-choice questions over long articles and stories.
jsonl.zip
Contract NLI
Koreeda and Manning, 2021
Natural language inference over non-disclosure agreements.
jsonl.zip
数据样例：
抽取式摘要