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 | |
languages: | |
- te | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
task_categories: | |
- sequence-modeling | |
- text-classification | |
task_ids: | |
- language-modeling | |
- multi-class-classification | |
- topic-classification | |
# Dataset Card for [Dataset Name] | |
## Table of Contents | |
- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name) | |
- [Table of Contents](#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) | |
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
- [Who are the source language producers?](#who-are-the-source-language-producers) | |
- [Annotations](#annotations) | |
- [Annotation process](#annotation-process) | |
- [Who are the annotators?](#who-are-the-annotators) | |
- [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) | |
## 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 | |
[More Information Needed] | |