BenchMark·Hub

wmt-sqm-human-evaluation

B待确认Benchmark
语言/语义翻译开放apache-2.0

发布方:RicardoRei

热度9.5▼ 0.1
下载量 · 30天
84
Hugging Face
GitHub Stars
代码仓库
论文被引
Semantic Scholar
跑分模型 · 30天
Leaderboard results

简介

Dataset Summary In 2022, several changes were made to the annotation procedure used in the WMT Translation task. In contrast to the standard DA (sliding scale from 0-100) used in previous years, in 2022 annotators performed DA+SQM (Direct Assessment + Scalar Quality Metric). In DA+SQM, the annotators still provide a raw score between 0 and 100, but also are presented with seven labeled tick marks. DA+SQM helps to stabilize scores across annotators (as compared to DA). The data is… See the full description on the dataset page: https://huggingface.co/datasets/RicardoRei/wmt-sqm-human-evaluation.