query-id
stringlengths
6
8
corpus-id
stringlengths
7
9
score
float64
1
1
test61
doc1679
1
test61
doc1684
1
test209
doc7549
1
test574
doc20649
1
test574
doc20650
1
test615
doc21828
1
test726
doc26027
1
test818
doc29465
1
test818
doc29471
1
test1020
doc35964
1
test1138
doc40373
1
test1140
doc40447
1
test1140
doc40449
1
test1207
doc43101
1
test1262
doc44563
1
test1315
doc46482
1
test1361
doc48022
1
test1473
doc52482
1
test1512
doc53946
1
test1512
doc53947
1
test1600
doc56787
1
test1600
doc56790
1
test1600
doc56795
1
test1643
doc58248
1
test1740
doc61592
1
test2032
doc70904
1
test2250
doc78048
1
test2368
doc81918
1
test2558
doc87913
1
test2767
doc95135
1
test3041
doc104191
1
test3041
doc104228
1
test3138
doc107125
1
test3378
doc115370
1
test3421
doc116484
1

Chemical Natural Questions

This dataset is created from the mteb/nq dataset on Hugging Face, which is part of the Natural Questions dataset containing real user questions issued to Google search, with answers sourced from Wikipedia. In this chemistry-specific subset, we filtered queries related to chemistry by starting from the chemistry category in Wikipedia and traversing up to three levels deep in linked articles. This approach allowed us to focus on chemistry-related queries, providing a targeted subset of the original dataset for domain-specific retrieval tasks.

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