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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.
datasets 64
FinanceMTEB/FinEvaEncyclopedia
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• 168 • 34
FinanceMTEB/SmoothNLPNews
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• 30k • 35
FinanceMTEB/TheGoldmanEncyclopedia-en
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• 4.54k • 35
FinanceMTEB/USnews
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• 30k • 40
FinanceMTEB/FinFact-reranking
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• 3.37k • 39 • 1
FinanceMTEB/WikiCompany2Industry-en
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• 10 • 17
FinanceMTEB/financial_phrasebank
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• 2.26k • 300 • 1
FinanceMTEB/FinSTS
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• 370 • 36
FinanceMTEB/FinEvaHeadline
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• 298 • 21
FinanceMTEB/FinEvaSum
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• 400 • 24