Datasets:
metadata
annotations_creators:
- no-annotation
language:
- tt
license: mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
pretty_name: AzatliqCrawl
configs:
- config_name: default
data_files:
- split: news_noisy
path: news_noisy_*
- split: news_clean
path: news_clean_*
tags:
- tt
- crawl
- news
- azatliq
Dataset Summary
AzatliqCrawl is a document-level dataset in Tatar language based on Azatliq newspaper. There are two versions released: the noisy dataset, which has no filtering, and the clean dataset, which has a variety of filters applied (language identification using fasstext BOW and deduplication using MinHashLSH with number of permutations equal to 128 and threshold equal to 0.9), though it naturally has a fair amount of noise itself. Each dataset is released in a document-level form.
To load and use dataset, run this script:
from datasets import load_dataset
tt_crawl=load_dataset("veryrealtatarperson/tt-azatliq-crawl")