---
annotations_creators:
- no-annotation
language:
- vi
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: OV_Text
size_categories:
- 10K<n<100K
task_categories:
- text-generation
---

# Dataset Card for OV_Text

## Table of Contents
- [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)
  - [Annotations](#annotations)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

The OV_Text dataset is a collection of 100,000 sentences sourced from various news articles.

Out of the 10,000 sentences in the dataset, 5,000 sentences have a length ranging from 50 to 150, while the other 5,000 sentences have a length ranging from 20 to 50. This distribution of sentence lengths provides a diverse range of text samples that can be used to train and test natural language processing models.

### Dataset Summary

### Supported Tasks and Leaderboards


### Languages

## Dataset Structure

### Data Instances

### Data Fields


### Data Splits

| name    | train   | validation | test   |
|---------|--------:|-----------:|-------:|
| small   | 1600    | 200        | 200    | 
| base    | 8000    | 1000       | 1000   | 
| large   | 95000   | 2500       | 2500   | 


## Dataset Creation

### Curation Rationale


### Source Data


### Annotations



## Additional Information

### Licensing Information

The dataset is released under Apache 2.0.

### Citation Information


### Contributions