Datasets:
Languages:
Telugu
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
other
Annotations Creators:
machine-generated
Source Datasets:
original
License:
| annotations_creators: | |
| - machine-generated | |
| language_creators: | |
| - other | |
| language: | |
| - te | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-generation | |
| - fill-mask | |
| - text-classification | |
| task_ids: | |
| - language-modeling | |
| - masked-language-modeling | |
| - multi-class-classification | |
| - topic-classification | |
| pretty_name: TeluguNews | |
| dataset_info: | |
| features: | |
| - name: sno | |
| dtype: int32 | |
| - name: date | |
| dtype: string | |
| - name: heading | |
| dtype: string | |
| - name: body | |
| dtype: string | |
| - name: topic | |
| dtype: | |
| class_label: | |
| names: | |
| '0': business | |
| '1': editorial | |
| '2': entertainment | |
| '3': nation | |
| '4': sports | |
| splits: | |
| - name: train | |
| num_bytes: 69400234 | |
| num_examples: 17312 | |
| - name: test | |
| num_bytes: 17265514 | |
| num_examples: 4329 | |
| download_size: 0 | |
| dataset_size: 86665748 | |
| # Dataset Card for [Dataset Name] | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** https://www.kaggle.com/sudalairajkumar/telugu-nlp?select=telugu_news | |
| - **Repository:** https://github.com/AnushaMotamarri/Telugu-Newspaper-Article-Dataset | |
| ### Dataset Summary | |
| This dataset contains Telugu language news articles along with respective topic | |
| labels (business, editorial, entertainment, nation, sport) extracted from the daily Andhra Jyoti. | |
| This dataset could be used to build Classification and Language Models. | |
| ### Supported Tasks and Leaderboards | |
| Multiclass classification, Topic Classification, Language Model | |
| ### Languages | |
| TE - Telugu, India | |
| ## Dataset Structure | |
| ### Data Instances | |
| Two CSV files (train, test) with five columns (sno, date, heading, body, topic). | |
| ### Data Fields | |
| - sno: id | |
| - date: publish date of the news article | |
| - heading: article heading/title | |
| - body: article body/content | |
| - topic: one of the following topics (business, editorial, entertainment, nation, sport) | |
| ### Data Splits | |
| Train and Test | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| - https://www.kaggle.com/sudalairajkumar/telugu-nlp?select=telugu_news | |
| - https://github.com/AnushaMotamarri/Telugu-Newspaper-Article-Dataset | |
| #### Initial Data Collection and Normalization | |
| The source data is scraped articles from archives of Telugu newspaper website Andhra Jyoti. | |
| A set of queries were created and the corresponding ground truth answers were retrieved by a combination of BM25 and tf-idf. | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| Sudalai Rajkumar, Anusha Motamarri | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| ``` | |
| @InProceedings{kaggle:dataset, | |
| title = {Telugu News - Natural Language Processing for Indian Languages}, | |
| authors={Sudalai Rajkumar, Anusha Motamarri}, | |
| year={2019} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@oostopitre](https://github.com/oostopitre) for adding this dataset. |