Datasets:
configs:
- config_name: default
data_files:
- split: train
path: news_articles_dataset.csv
annotations_creators:
- expert-generated
language:
- te
language_creators:
- expert-generated
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Telugu News Articles
size_categories:
- 100K<n<1M
source_datasets:
- original
tags:
- newspaper
- 2018-2023
task_categories:
- text-generation
task_ids:
- language-modeling
Summary
aya-telugu-news-articles is an open source dataset of instruct-style records generated by webscraping a Telugu news articles website. This was created as part of Aya Open Science Initiative from Cohere For AI.
This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.
Supported Tasks:
- Training LLMs
- Synthetic Data Generation
- Data Augmentation
Languages: Telugu Version: 1.0
Dataset Overview
aya-telugu-news-articles is a corpus of more than 467k records generated by webscraping of the Telugu News articles website. This Dataset can be used for the following two tasks:
- Given Title/Headline of the article, generate the article with that Title/Headline.
- Given the article, generate the Title/Headline for the article.
Intended Uses
While immediately valuable for instruction fine tuning large language models, as a corpus of instruction prompts, this dataset also presents a valuable opportunity for synthetic data generation in the methods. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate additional articles and their respective titles.
Dataset
Load with Datasets
To load this dataset with Datasets, you'll just need to install Datasets as pip install datasets --upgrade and then use the following code:
from datasets import load_dataset
ds = load_dataset('SuryaKrishna02/aya-telugu-news-articles')
Purpose of Collection
Telugu is a low-resource language where there no title and article generation instruct-style dataset to the best of my knowledge. This was created as a part of Aya Open Science Initiative from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications.
Sources
- Suryaa Newsarticles Website: Performed webscraping from Suryaa Website which is a famous news articles website in Telugu States. Next, performed some pre-processing of the data like removing unwanted characters, removing too lengthy or too short articles from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions.
Data Fields
inputs: Prompt or input to the language model.targets: Completion or output of the language model.template_id: Id of the template used ininputsandtargets.template_lang: ISO code of the language used in theinputsandtargetswhere tel refers to Telugu.
Templates
For the creation of instruct-style prompts and completions from the scraped data, the following two templates categories with two templates were used:
Given Title/Headline of the article, generate the article with that Title/Headline.
template_id inputs targets 1 [క్రింది | కింది | ఇవ్వబడిన | ఇచ్చిన] [శీర్షికతో | టైటిల్ తో | హెడ్లైన్ తో] [వార్తా కథనాన్ని | న్యూస్ ఆర్టికల్ ని | న్యూస్ కథనాన్ని] [వ్రాయండి | రాయండి]:\n{{Title}}{{Article}}Given the article, generate the Title/Headline for the article.
template_id inputs targets 2 [క్రింది | కింది | ఇవ్వబడిన | ఇచ్చిన] [వార్తా కథనానికి | న్యూస్ ఆర్టికల్ కి | న్యూస్ కథనానికి] [శీర్షికను | టైటిల్ ను | హెడ్లైన్ ను] [వ్రాయండి | ఇవ్వండి | రాయండి]:\n{{Article}}[ఇచ్చిన | ఇవ్వబడిన] [వార్తా కథనానికి | న్యూస్ ఆర్టికల్ కి | న్యూస్ కథనానికి] [సరిపోయే | తగిన | అనువైన] [శీర్షిక | టైటిల్ | హెడ్లైన్] '{{Title}}'.
Personal or Sensitive Data
This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information.
Language
Telugu
Known Limitations
- The Dataset is scraped from the News Website and the contents of this dataset may reflect the bias, factual errors, politicial affiliations and sensitive matters.
- Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Telugu.