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--- |
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annotations_creators: |
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- no-annotation |
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language: |
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- vi |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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pretty_name: OV_Text |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- text-generation |
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--- |
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# Dataset Card for OV_Text |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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The OV_Text dataset is a collection of 100,000 sentences sourced from various news articles. |
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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. |
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### Dataset Summary |
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### Supported Tasks and Leaderboards |
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### Languages |
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## Dataset Structure |
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### Data Instances |
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### Data Fields |
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### Data Splits |
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| name | train | validation | test | |
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|---------|--------:|-----------:|-------:| |
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| small | 1600 | 200 | 200 | |
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| base | 8000 | 1000 | 1000 | |
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| large | 95000 | 2500 | 2500 | |
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## Dataset Creation |
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### Curation Rationale |
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### Source Data |
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### Annotations |
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## Additional Information |
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### Licensing Information |
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The dataset is released under Apache 2.0. |
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### Citation Information |
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### Contributions |
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