task_categories:text-generation language_creators:crowdsourced language_creators:original size_categories:10K<n<100K language:ru language:en license:apache-2.0 not-for-all-audiences art humour jokes region:us
---
language:
- ru
- en
license: apache-2.0
tags:
- not-for-all-audiences
- art
- humour
- jokes
annotation_creators:
- crowdsourced
- original
language_creators:
- crowdsourced
- original
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:zeionara@gmail.com)
- **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.

There are three configurations available withing the dataset:

- **inflated** - a transparent configuration, which introduces minimal changes to the source data;
- **censored** - same as inflated, but entries with same texts are grouped and aggregated;
- **default** - same as censored, but profane words are replaced with their inferred original form in cases when they were censored initially.

## 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.
