FinanceMTEB
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FinMTEB: Finance Massive Text Embedding Benchmark
Finance Massive Text Embedding Benchmark (FinMTEB), an embedding benchmark consists of 64 financial domain-specific text datasets, across English and Chinese, spanning seven different tasks. All datasets in FinMTEB are finance-domain specific, either previously used in financial NLP research or newly developed by the authors.
Collections
7
models
None public yet
datasets
64
FinanceMTEB/FinEvaEncyclopedia
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168
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40
FinanceMTEB/SmoothNLPNews
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30k
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43
FinanceMTEB/TheGoldmanEncyclopedia-en
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4.54k
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38
FinanceMTEB/USnews
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30k
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37
FinanceMTEB/FinFact-reranking
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3.37k
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32
FinanceMTEB/WikiCompany2Industry-en
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10
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32
FinanceMTEB/financial_phrasebank
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2.26k
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33
FinanceMTEB/FinSTS
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370
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34
FinanceMTEB/FinEvaHeadline
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298
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32
FinanceMTEB/FinEvaSum
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400
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32