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query-id
stringlengths
22
22
corpus-id
stringlengths
3
72
score
float64
1
1
b8677742616fef051f00_0
Julius Caesar-75
1
b8677742616fef051f00_0
Caesarion-2
1
b8677742616fef051f00_0
Julia (daughter of Caesar)-1
1
b8677742616fef051f00_0
Gaius Julius Caesar-7
1
4668264df84fb7c25b39_0
Lawful interception-28
1
4668264df84fb7c25b39_0
Arrest-7
1
4668264df84fb7c25b39_0
Law enforcement officer-13
1
4668264df84fb7c25b39_0
Arrest-2
1
41450dbd623437269f8f_0
Monoamine oxidase-8
1
41450dbd623437269f8f_0
Depression (mood)-13
1
41450dbd623437269f8f_0
Biology of depression-1
1
1b29d402c3e17cb3b435_0
Pound sterling-1
1
1b29d402c3e17cb3b435_0
Pound sterling-16
1
1b29d402c3e17cb3b435_0
Pound sterling-12
1
c2d2b9ff5a1e682c88dc_0
Scampi-2
1
c2d2b9ff5a1e682c88dc_0
Scampi-1
1
c2d2b9ff5a1e682c88dc_0
Scampi-8
1
c2d2b9ff5a1e682c88dc_0
Fish-92
1
265dd54c248f8b048851_0
Rede Globo-1
1
265dd54c248f8b048851_1
Portuguese language-1
1
265dd54c248f8b048851_1
Brazil-1
1
29bf9aa61ed4124cd84c_0
Albany, Georgia-1
1
29bf9aa61ed4124cd84c_0
Albany, Georgia-35
1
29bf9aa61ed4124cd84c_1
Albany, New York-2
1
f231532fe17fd971d1e6_1
Wonder Woman (2017 film)-3
1
f231532fe17fd971d1e6_1
Wonder Woman (2017 film)-31
1
decb9886ca17f7af209d_0
Vincentian Creole-1
1
decb9886ca17f7af209d_0
Demographics of Saint Vincent and the Grenadines-9
1
decb9886ca17f7af209d_0
Saint Vincent and the Grenadines-59
1
622c71f22ddb683c15a8_0
Casio-1
1
622c71f22ddb683c15a8_1
Petco-1
1
b77d2efee37741e44c32_0
Space Race-1
1
b77d2efee37741e44c32_1
Relay race-1
1
b77d2efee37741e44c32_1
Relay race-11
1
d697f6246a7d06e195ee_0
Christmas tree-56
1
d697f6246a7d06e195ee_0
Christmas tree-1
1
98a30c58fdff7676076c_0
Gluon-1
1
a2a388a19b87a34d902b_0
Kingdom of Hungary-1
1
df84924c94e9e929ef10_0
Nancy Pelosi-1
1
df84924c94e9e929ef10_0
Speaker of the United States House of Representatives-3
1
58fd5574f3447c8f590f_0
September 11 attacks-1
1
58fd5574f3447c8f590f_0
Inside 9/11-1
1
58fd5574f3447c8f590f_2
Childhood amnesia-1
1
58fd5574f3447c8f590f_2
Childhood amnesia-3
1
8e01fbec3b932a3252ef_0
Greed-10
1
8e01fbec3b932a3252ef_0
Seven deadly sins-1
1
8e01fbec3b932a3252ef_1
Gluttony-2
1
8e01fbec3b932a3252ef_1
Seven deadly sins-1
1
8e01fbec3b932a3252ef_3
Obesity-4
1
8e01fbec3b932a3252ef_3
Obesity in the United States-41
1
8e01fbec3b932a3252ef_3
Overweight-18
1
d8649d55a6e1a22b92d9_0
Hot reading-2
1
d8649d55a6e1a22b92d9_0
Hot reading-1
1
e9e78aa7b0c1ec3f9cf9_1
1,000,000,000-1
1
e9e78aa7b0c1ec3f9cf9_1
Billion-2
1
903178c36c89e5f55a20_1
Cindy Crawford-9
1
86ead3f15417204affc2_0
Israelites-11
1
86ead3f15417204affc2_0
Israelites-8
1
86ead3f15417204affc2_0
Indian Jews in Israel-7
1
86ead3f15417204affc2_1
Dustin Hoffman-7
1
86ead3f15417204affc2_1
Dustin Hoffman-8
1
e56fdbdf08cdc8694536_0
The Powerpuff Girls-1
1
e56fdbdf08cdc8694536_1
Camden Military Academy-1
1
646d3503f3a3939e2e63_0
Mount Fuji-1
1
646d3503f3a3939e2e63_0
Mount Fuji-18
1
646d3503f3a3939e2e63_1
Sea of Japan-15
1
c87e343f444912cc9680_0
Crucifix-1
1
c87e343f444912cc9680_0
Donatello-17
1
8716b85472632d6e200e_0
Disneyland Paris-40
1
8716b85472632d6e200e_0
Disneyland Paris-6
1
8716b85472632d6e200e_1
Walt Disney World-1
1
7870b1cef39a4f685911_0
Big Daddy (1999 film)-1
1
1f0e2597327ddd338fc2_0
The Lion King-10
1
1f0e2597327ddd338fc2_2
The Lion King (musical)-1
1
1f0e2597327ddd338fc2_2
The Lion King (musical)-2
1
1f0e2597327ddd338fc2_2
The Lion King-24
1
3a7d825a0fcb4211742f_0
Geography-22
1
3a7d825a0fcb4211742f_0
Geographer-1
1
3a7d825a0fcb4211742f_1
Biochemistry-1
1
3a7d825a0fcb4211742f_1
Biochemistry-4
1
ed6d9f875c9787e1817c_0
George Washington-121
1
ed6d9f875c9787e1817c_0
George Washington-1
1
ed6d9f875c9787e1817c_1
Compact disc-7
1
ed6d9f875c9787e1817c_1
Compact disc-1
1
93f0f18ac8c96a44b849_0
Yeah! (Usher song)-2
1
93f0f18ac8c96a44b849_0
Lil Jon-1
1
93f0f18ac8c96a44b849_0
Yeah! (Usher song)-1
1
93f0f18ac8c96a44b849_1
Yeah! (Usher song)-10
1
93f0f18ac8c96a44b849_1
Yeah! (Usher song)-1
1
93f0f18ac8c96a44b849_2
The Lox-1
1
83717baab39233083d34_0
Spirit (rover)-1
1
83717baab39233083d34_0
Mars Exploration Rover-5
1
d24514ae216c7a55f4f0_0
Miami-1
1
d24514ae216c7a55f4f0_0
Miami-2
1
d24514ae216c7a55f4f0_1
Pacific states-1
1
d24514ae216c7a55f4f0_1
West Coast of the United States-1
1
427fe3968e32005479b9_0
Stanley Cup-1
1
427fe3968e32005479b9_1
Ice hockey-1
1
427fe3968e32005479b9_1
Stanley Cup-1
1
427fe3968e32005479b9_3
Tibia-1
1
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Ko-StrategyQA

This dataset represents a conversion of the Ko-StrategyQA dataset into the BeIR format, making it compatible for use with mteb.

The original dataset was designed for multi-hop QA, so we processed the data accordingly. First, we grouped the evidence documents tagged by annotators into sets, and excluded unit questions containing 'no_evidence' or 'operation'.

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