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vidore_v3_hr_mteb_format – Dataset by vidore | AlphaNeural AI
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vidore
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vidore_v3_hr_mteb_format
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visual-document-retrieval
image-to-text
text-to-image
derived
multilingual
vidore/vidore_v3_hr
deu
eng
fra
ita
por
spa
cc-by-4.0
10K<n<100K
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optimized-parquet
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Vidore3HrRetrieval An MTEB dataset Massive Text Embedding Benchmark
Retrieve associated pages according to questions.
Task category t2i
Domains Academic
Reference
https://huggingface.co/blog/QuentinJG/introducing-vidore-v3
Source datasets:
vidore/vidore_v3_hr
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_task("Vidore3HrRetrieval") evaluator = mteb.MTEB([task])… See the full description on the dataset page:
https://huggingface.co/datasets/vidore/vidore_v3_hr_mteb_format
.
