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
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代码仓库
论文被引
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Semantic Scholar
跑分模型 · 30天
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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.