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SynPerQAPC – Dataset by mteb | AlphaNeural AI
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mteb
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SynPerQAPC
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text-classification
semantic-similarity-classification
LM-generated
monolingual
MCINext/synthetic-persian-qa-pair-classification
fas
unknown
10K<n<100K
parquet
text
datasets
pandas
mlcroissant
polars
2502.13595
2210.07316
us
mteb
text
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SynPerQAPC An MTEB dataset Massive Text Embedding Benchmark
Synthetic Persian QA Pair Classification
Task category t2t
Domains Web, News, Religious, Blog
Reference
https://mcinext.com/
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("SynPerQAPC") evaluator = mteb.MTEB([task])
model = mteb.get_model(YOUR_MODEL) evaluator.run(model)
To learn more about how to run… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/SynPerQAPC
.
