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---
language:
- ru
- en
license: apache-2.0
tags:
- not-for-all-audiences
- art
- humour
- jokes
annotation_creators:
- crowdsourced
language_creators:
- crowdsourced
pretty_name: baneks
size_categories:
- 10K<n<100K
task_categories:
- text-generation
---
# Dataset card for baneks
## Table of contents
- [Dataset description](#dataset-description)
- [Dataset summary](#dataset-summary)
- [Dataset structure](#dataset-structure)
- [Dataset instance](#dataset-instance)
- [Dataset fields](#dataset-fields)
## Dataset description
- **Homepage:** [baneks homepage]()
- **Repository:** [baneks repository](https://huggingface.co/datasets/zeio/baneks)
- **Point of contact:** [Zeio Nara](mailto:[email protected])
- **Dataset version:** `10.10.2023`
### Dataset summary
This dataset contains anekdotes parsed from a few vk social network communities. Since the dataset is regularly updated, there is no fixed number of entries, so stay tuned.
This dataset **contains entries with duplicated text**, which correspond to different posts.
There is a [version of the dataset which contains only aggregated values](https://huggingface.co/datasets/zeio/baneks-distinct) without duplicates.
## Dataset structure
### Data instance
An example of an entry from the dataset is given below:
```json
{
"text": "- Папа, а кто такие алкоголики? - Ну, сынок.. Вот, видишь - четыре гендера стоят? А алкоголику кажется, что там восемь гендеров - Пап, там два гендера.",
"published": "16-09-2023 01:38",
"id": 497393,
"n-likes": 13,
"n-views": 804,
"accessed": "16-09-2023 01:51",
"source": "anekdotikategoriib"
}
```
### Data fields
Each dataset entry therefore consists of the following fields:
- `text` - text representation of the anecdote;
- `published` - publication date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
- `id` - id of the corresponding post;
- `n-likes` - number of likes received by the corresponding post up to the access date;
- `n-views` - number of views received by the corresponding post up to the access date;
- `accessed`- access date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
- `source` - community name in which the corresponding post has been published.
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