pair-classification
sprintduplicatequestions-pairclassification
SprintDuplicateQuestions
An MTEB dataset
Massive Text Embedding Benchmark
Duplicate questions from the Sprint community.
Task category
t2t
Domains
Programming, Written
Reference
https://www.aclweb.org/anthology/D18-1131/
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(["SprintDuplicateQuestions"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sprintduplicatequestions-pairclassification.twittersemeval2015-pairclassification
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.twitterurlcorpus-pairclassification
TwitterURLCorpus
An MTEB dataset
Massive Text Embedding Benchmark
Paraphrase-Pairs of Tweets.
Task category
t2t
Domains
Social, Written
Reference
https://languagenet.github.io/
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(["TwitterURLCorpus"])
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/twitterurlcorpus-pairclassification.task1645_medical_question_pair_dataset_text_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1645_medical_question_pair_dataset_text_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1645_medical_question_pair_dataset_text_classification.newsph-nli-fil-pairclassification
NewsPHNLI_fil_PairClassification
Deduplicated copy of kornwtp/newsph-nli-fil-pairclassification.
Splits
split
rows
test
8,995
train
418,705
validation
89,836
squad-nli-ind-pairclassification
SQuADNLI_ind_PairClassification
Deduplicated copy of kornwtp/squad-nli-ind-pairclassification.
Splits
split
rows
test
22,190
train
217,873
validation
22,128