README.md

---
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](https://github.com/Electrotubbie/turk_langs_analyse) preprocessing and analysis of texts from [dataset](https://huggingface.co/datasets/Electrotubbie/classification_Turkic_languages) 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.