ChemTEB Retrieval Datasets
Collection
Chemical Retrieval Datasets for Evaluating Text Embedding Models
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5 items
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Updated
query-id
stringlengths 6
8
| corpus-id
stringlengths 7
9
| score
float64 1
1
|
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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 |
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.