ROSE ?

This repo contiains the RoSE benchmark of our paper "Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation".

Please visit here for a demo page of this project.

ACU Annotations

RoSE benchmark contains system outputs annotated with our ACU protocol. It contains four parts:

CNNDM, test set annotations
CNNDM, validation set annotations
XSum, test set annotations
SamSum, test set annotations

We summarize the statistics below.

Dataset	Split	#Doc.	#Sys.	#Total Summ.	HF Name
CNNDM	Test	500	12	6000	cnndm_test
CNNDM	Validation	1000	8	8000	cnndm_validation
XSum	Test	500	8	4000	xsum
SamSum	Test	500	8	4000	samsum

Human Annotations with Different Evaluation Protocols

We have system outputs annotated with four different human evaluation protocols in total. We summarize them below.

Protocol	w/ Input Document	w/ Reference Summary	Fine-grained
Prior	✗	✗	✗
Ref-free	✓	✗	✗
Ref-based	✗	✓	✗
ACU	✗	✓	✓

We annotated two sets of system summaries.

Summaries of 12 fine-tuned systems. The huggingface data split name is cnndm_protocol .

Zero-shot summaries from large langauge models (GPT3, T0), together with summaries from BRIO and BART. The huggingface data split name is cnndm_protocol_gpt3 .

作者:

Salesforce

数据集大小:

12.93 KB