Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
csv
Sub-tasks:
language-modeling
Languages:
Telugu
Size:
100K - 1M
License:
| 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](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI. | |
| This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Apache 2.0](https://opensource.org/license/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: | |
| ```python | |
| 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](https://sites.google.com/cohere.com/aya-en/home) 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](https://telugu.suryaa.com/) 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 in `inputs` and `targets`. | |
| - `template_lang`: ISO code of the language used in the `inputs` and `targets` where *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: | |
| 1. 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}}``` | |
| 2. 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. | |
| # Contributors | |
| [SuryaKrishna02](https://github.com/SuryaKrishna02) and [Desik98](https://github.com/desik1998) | |