metadata
language:
- tr
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 292607887
num_examples: 81708
- name: validation
num_bytes: 32771771
num_examples: 9079
download_size: 170747517
dataset_size: 325379658
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
habanoz/news-tr-90k is split into training and validation splits.
Columns are merged into a single text document using following format:
# {x['Title']}
## Özet
{x['Summary']}
## İçerik
{x['Text']}
A tokenizer is trained on this dataset with an 8K token vocabulary. According to the tokenizer, this dataset contains 62748074 (62.7M) training tokens and 7015414 (7M) validation tokens.