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---
language:
- am
- ar
- az
- bn
- my
- zh
- en
- fr
- gu
- ha
- hi
- ig
- id
- ja
- rn
- ko
- ky
- mr
- ne
- om
- ps
- fa
- pcm
- pt
- pa
- ru
- gd
- sr
- si
- so
- es
- sw
- ta
- te
- th
- ti
- tr
- uk
- ur
- uz
- vi
- cy
- yo
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
task_categories:
- summarization
- text-generation
pretty_name: sum-any-news-dataset
dataset_info:
features:
- name: title
dtype: string
- name: resume
dtype: string
- name: news
dtype: string
splits:
- name: train
num_bytes: 1276733873
num_examples: 289524
- name: test
num_bytes: 143098117
num_examples: 32173
download_size: 742417882
dataset_size: 1419831990
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- news
- media
- conditional-text-generation
---
# Dataset Card for "Sum-any-news"
## Dataset Description
This dataset is a set for fine-tuning the summarization task on the “google/mt5-base” model and its derivatives.
The set is based on the well-known dataset [“csebuetnlp/xlsum”](https://huggingface.co/datasets/csebuetnlp/xlsum), but is a limited 20,000 examples of news articles from it.
In addition, about 20 thousand news articles in Russian for the period from 2019-01-01 to 2024-08-01 have been added to the model (multiple sources). |