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--- |
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annotations_creators: |
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- machine-generated |
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language_creators: |
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- found |
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language: |
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- ru |
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size_categories: |
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- 10K<n<100K |
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license: |
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- unknown |
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multilinguality: |
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- monolingual |
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source_datasets: |
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- original |
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--- |
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# Dataset Card |
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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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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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### Dataset Summary |
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Dataset for automatic text segmentation of Russian wiki. Text corpora based on May 2023 Wikipedia dump. Markup was generated automatically based on 2 methods: taking texts with ready division into paragraphs and random joining parts of different texts. |
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### Supported Tasks and Leaderboards |
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Dataset designed for text segmentation task. |
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### Languages |
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The dataset is in Russian. |
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### Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('mlenjoyneer/RuTextSegWiki') |
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``` |
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### Other datasets |
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mlenjoyneer/RuTextSegNews - similar dataset based on news corpora |
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## Dataset Structure |
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### Data Instances |
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For each instance, there is a list of strings for text sentences, a list of ints for labels (1 is new topic starting and 0 is previous topic continuation) and a string for sample generation method (base or random_joining). |
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### Data Splits |
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| Dataset Split | Number of Instances in Split | |
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|:---------|:---------| |
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| Train | 20000 | |
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| Test | 4000 | |
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## Additional Information |
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### Licensing Information |
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In progress |
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### Citation Information |
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```bibtex |
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In progress |
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``` |
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