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nq – Dataset by mteb | AlphaNeural AI
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mteb
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nq
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text-retrieval
multiple-choice-qa
human-annotated
monolingual
eng
cc-by-nc-sa-3.0
1M<n<10M
json
text
datasets
pandas
mlcroissant
polars
2502.13595
2210.07316
us
mteb
text
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Use this dataset
NQ An MTEB dataset Massive Text Embedding Benchmark
NFCorpus: A Full-Text Learning to Rank Dataset for Medical Information Retrieval
Task category t2t
Domains Written, Encyclopaedic
Reference
https://ai.google.com/research/NaturalQuestions/
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(["NQ"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/nq
.
