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twittersemeval2015-pairclassification – Dataset by mteb | AlphaNeural AI
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twittersemeval2015-pairclassification
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text-classification
semantic-similarity-classification
human-annotated
monolingual
eng
unknown
n<1K
parquet
text
datasets
pandas
mlcroissant
polars
2502.13595
2210.07316
us
mteb
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TwitterSemEval2015 An MTEB dataset Massive Text Embedding Benchmark
Paraphrase-Pairs of Tweets from the SemEval 2015 workshop.
Task category t2t
Domains Social, Written
Reference
https://alt.qcri.org/semeval2015/task1/
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(["TwitterSemEval2015"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/twittersemeval2015-pairclassification
.
