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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
2
datasets
64
FinanceMTEB/FinEvaEncyclopedia
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168
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113
FinanceMTEB/SmoothNLPNews
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30k
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81
FinanceMTEB/TheGoldmanEncyclopedia-en
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4.54k
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109
FinanceMTEB/USnews
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30k
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142
FinanceMTEB/FinFact-reranking
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3.37k
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110
FinanceMTEB/WikiCompany2Industry-en
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10
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80
FinanceMTEB/financial_phrasebank
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2.26k
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139
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1
FinanceMTEB/FinSTS
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370
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104
FinanceMTEB/FinEvaHeadline
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298
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80
FinanceMTEB/FinEvaSum
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400
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85