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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
Viewer
ā¢
Updated
ā¢
168
ā¢
23
FinanceMTEB/SmoothNLPNews
Viewer
ā¢
Updated
ā¢
30k
ā¢
11
FinanceMTEB/TheGoldmanEncyclopedia-en
Viewer
ā¢
Updated
ā¢
4.54k
ā¢
24
FinanceMTEB/USnews
Viewer
ā¢
Updated
ā¢
30k
ā¢
20
FinanceMTEB/FinFact-reranking
Viewer
ā¢
Updated
ā¢
3.37k
ā¢
21
FinanceMTEB/WikiCompany2Industry-en
Viewer
ā¢
Updated
ā¢
10
ā¢
16
FinanceMTEB/financial_phrasebank
Viewer
ā¢
Updated
ā¢
2.26k
ā¢
28
ā¢
1
FinanceMTEB/FinSTS
Viewer
ā¢
Updated
ā¢
370
ā¢
43
FinanceMTEB/FinEvaHeadline
Viewer
ā¢
Updated
ā¢
298
ā¢
12
FinanceMTEB/FinEvaSum
Viewer
ā¢
Updated
ā¢
400
ā¢
11