Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
1K - 10K
Tags:
text-retrieval
query-id stringclasses 672 values | corpus-id stringlengths 6 6 | score float64 1 1 |
|---|---|---|
000000 | 014212 | 1 |
000000 | 014259 | 1 |
000000 | 014132 | 1 |
000000 | 014273 | 1 |
000001 | 006217 | 1 |
000001 | 014325 | 1 |
000001 | 006211 | 1 |
000001 | 011904 | 1 |
000001 | 004532 | 1 |
000001 | 011134 | 1 |
000001 | 009729 | 1 |
000002 | 004594 | 1 |
000002 | 011486 | 1 |
000002 | 010533 | 1 |
000002 | 010648 | 1 |
000002 | 010649 | 1 |
000002 | 004592 | 1 |
000002 | 004646 | 1 |
000002 | 004645 | 1 |
000002 | 010647 | 1 |
000002 | 014359 | 1 |
000002 | 004625 | 1 |
000003 | 014070 | 1 |
000003 | 010501 | 1 |
000003 | 014023 | 1 |
000003 | 014080 | 1 |
000003 | 004554 | 1 |
000003 | 004550 | 1 |
000003 | 004552 | 1 |
000003 | 014005 | 1 |
000003 | 012067 | 1 |
000003 | 012374 | 1 |
000003 | 014020 | 1 |
000003 | 003814 | 1 |
000003 | 006471 | 1 |
000003 | 115418 | 1 |
000003 | 014073 | 1 |
000003 | 001880 | 1 |
000004 | 004594 | 1 |
000004 | 010533 | 1 |
000004 | 004597 | 1 |
000004 | 011483 | 1 |
000004 | 011065 | 1 |
000004 | 009869 | 1 |
000004 | 009867 | 1 |
000004 | 010639 | 1 |
000004 | 010647 | 1 |
000004 | 010316 | 1 |
000004 | 009731 | 1 |
000004 | 010287 | 1 |
000004 | 010317 | 1 |
000005 | 001879 | 1 |
000006 | 006307 | 1 |
000006 | 004532 | 1 |
000006 | 013581 | 1 |
000006 | 004594 | 1 |
000006 | 011128 | 1 |
000006 | 006277 | 1 |
000006 | 011135 | 1 |
000006 | 011134 | 1 |
000006 | 010414 | 1 |
000006 | 009753 | 1 |
000006 | 006467 | 1 |
000006 | 010114 | 1 |
000007 | 003025 | 1 |
000007 | 010876 | 1 |
000007 | 004670 | 1 |
000007 | 006054 | 1 |
000007 | 006031 | 1 |
000007 | 006012 | 1 |
000007 | 005896 | 1 |
000007 | 005876 | 1 |
000007 | 006064 | 1 |
000007 | 004674 | 1 |
000007 | 004678 | 1 |
000007 | 006066 | 1 |
000007 | 002341 | 1 |
000007 | 001099 | 1 |
000008 | 011575 | 1 |
000008 | 001881 | 1 |
000008 | 004387 | 1 |
000008 | 001836 | 1 |
000009 | 009710 | 1 |
000009 | 009606 | 1 |
000009 | 004581 | 1 |
000009 | 009686 | 1 |
000009 | 009578 | 1 |
000009 | 009571 | 1 |
000009 | 009566 | 1 |
000009 | 009610 | 1 |
000009 | 009630 | 1 |
000009 | 009687 | 1 |
000009 | 116343 | 1 |
000010 | 116855 | 1 |
000010 | 117247 | 1 |
000011 | 001880 | 1 |
000011 | 006210 | 1 |
000011 | 006270 | 1 |
000011 | 006226 | 1 |
000011 | 001888 | 1 |
End of preview. Expand
in Data Studio
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/MBPP", "queries")
documents = datasets.load_dataset("embedding-benchmark/MBPP", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/MBPP", "default")
- Downloads last month
- 363