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Datasets:
Electrotubbie
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triplets_Turkic_languages

Tasks:
Text Classification
Languages:
Bashkir
Kazakh
Kyrgyz
Size Categories:
10K<n<100K
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metadata
task_categories:
  - text-classification
language:
  - ba
  - kk
  - ky
size_categories:
  - 10K<n<100K

Triplets for Turkic languages language models

Description

This dataset is designed to test models for working with Next Sentence Prediction (NSP) and Sentence Order Prediction (SOP). It includes two sub-sets with triplets of texts..

Usage

This dataset can be used to train and evaluate models capable of performing NSP and SAP tasks.

Dataset structure:

Each entry in the dataset represents three values:

  • text: a triplet of text;
  • flag: a flag indicating whether the order of sentences in this triplet is correct;
  • lang: the language of the sentence.

The creation process

Using the functions described on github preprocessing and analysis of texts from dataset was performed and triplets are selected according to certain rules (triplets should be approximately the same length and from 30 to 100 characters). Also, the triplets were selected in such a way that no sentence displayed in the dataset was repeated several times.