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wit – Dataset by mteb | AlphaNeural AI
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mteb
/
wit
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0
visual-document-retrieval
image-to-text
text-to-image
derived
multilingual
ara
bul
dan
ell
eng
est
ind
jpn
kor
tur
vie
cc-by-sa-4.0
1K<n<10K
parquet
image
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WITT2IRetrieval An MTEB dataset Massive Text Embedding Benchmark
Retrieve images based on multilingual descriptions.
Task category t2i
Domains Encyclopaedic, Written
Reference
https://proceedings.mlr.press/v162/bugliarello22a/bugliarello22a.pdf
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_tasks(["WITT2IRetrieval"]) evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/wit
.