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Text · dataset · 2022

BIOSSES

Listed in Hugging Face Datasets

BIOSSES is a benchmark dataset for biomedical sentence similarity estimation.

Description

The dataset comprises 100 sentence pairs, in which each sentence was selected from the TAC (Text Analysis Conference) Biomedical Summarization Track Training Dataset containing articles from the biomedical domain. The sentence pairs in BIOSSES were selected from citing sentences, i.e. sentences that have a citation to a reference article.

The sentence pairs were evaluated by five different human experts that judged their similarity and gave scores ranging from 0 (no relation) to 4 (equivalent). In the original paper the mean of the scores assigned by the five human annotators was taken as the gold standard. The Pearson correlation between the gold standard scores and the scores estimated by the models was used as the evaluation metric.

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The strength of correlation can be assessed by the general guideline proposed by Evans (1996) as follows: very strong: 0.80–1.00 strong: 0.60–0.79 moderate: 0.40–0.59 weak: 0.20–0.39 very weak: 0.00–0.19

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text · text classification
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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsqanastek/Biosses-BLUE15 d agoJSON v1
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