# Dataset Card for Kill-Me-Please Dataset


## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)

## Dataset Description

- **Repository:** [github pet project repo](https://github.com/takiholadi/generative-kill-me-please)

### Dataset Summary

It is an Russian-language dataset containing just over 30k unique stories as written as users of https://killpls.me as of period from March 2009 to October 2022. This resource was blocked by Roskomnadzor so consider text-generation task if you want more stories.

### Languages

ru-RU

## Dataset Structure

### Data Instances

Here is an example of instance:

```
{'text': 'По глупости удалил всю 10 летнюю базу. Восстановлению не подлежит. Мне конец. КМП!'
 'tags': 'техника'
 'votes': 2914
 'url': 'https://killpls.me/story/616'
 'datetime': '4 июля 2009, 23:20'}
```

### Data Fields

- `text`: a string containing the body of the story
- `tags`: a string containing a comma-separated tags in a multi-label setup, fullset of tags (except of one empty-tagged record): `внешность`, `деньги`, `друзья`, `здоровье`, `отношения`, `работа`, `разное`, `родители`, `секс`, `семья`, `техника`, `учеба`
- `votes`: an integer sum of upvotes/downvotes
- `url`: a string containing the url where the story was web-scraped from
- `datetime`: a string containing with the datetime the story was written

### Data Splits

The has 2 multi-label stratified splits: train and test.

| Dataset Split | Number of Instances in Split                |
| ------------- | ------------------------------------------- |
| Train         | 27,321                                      |
| Test          | 2,772                                       |

task_categories:text-generation task_categories:text-classification annotations_creators:no-annotation language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:ru stories website region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["ru"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-generation", "text-classification"], "pretty_name": "Kill-Me-Please Dataset", "tags": ["stories", "website"]}
TAGS
#task_categories-text-generation #task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Russian #stories #website #region-us 

Dataset Card for Kill-Me-Please Dataset
=======================================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits


Dataset Description
-------------------


* Repository: github pet project repo


### Dataset Summary


It is an Russian-language dataset containing just over 30k unique stories as written as users of URL as of period from March 2009 to October 2022. This resource was blocked by Roskomnadzor so consider text-generation task if you want more stories.


### Languages


ru-RU


Dataset Structure
-----------------


### Data Instances


Here is an example of instance:


### Data Fields


* 'text': a string containing the body of the story
* 'tags': a string containing a comma-separated tags in a multi-label setup, fullset of tags (except of one empty-tagged record): 'внешность', 'деньги', 'друзья', 'здоровье', 'отношения', 'работа', 'разное', 'родители', 'секс', 'семья', 'техника', 'учеба'
* 'votes': an integer sum of upvotes/downvotes
* 'url': a string containing the url where the story was web-scraped from
* 'datetime': a string containing with the datetime the story was written


### Data Splits


The has 2 multi-label stratified splits: train and test.




### Dataset Summary


It is an Russian-language dataset containing just over 30k unique stories as written as users of URL as of period from March 2009 to October 2022. This resource was blocked by Roskomnadzor so consider text-generation task if you want more stories. ### Languages


ru-RU


Dataset Structure
----------------- ### Data Instances


Here is an example of instance: ### Data Fields


* 'text': a string containing the body of the story
* 'tags': a string containing a comma-separated tags in a multi-label setup, fullset of tags (except of one empty-tagged record): 'внешность', 'деньги', 'друзья', 'здоровье', 'отношения', 'работа', 'разное', 'родители', 'секс', 'семья', 'техника', 'учеба'
* 'votes': an integer sum of upvotes/downvotes
* 'url': a string containing the url where the story was web-scraped from
* 'datetime': a string containing with the datetime the story was written ### Data Splits


The has 2 multi-label stratified splits: train and test.
TAGS
#task_categories-text-generation #task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Russian #stories #website #region-us 
 ### Dataset Summary


It is an Russian-language dataset containing just over 30k unique stories as written as users of URL as of period from March 2009 to October 2022. This resource was blocked by Roskomnadzor so consider text-generation task if you want more stories. ### Languages


ru-RU


Dataset Structure
----------------- ### Data Instances


Here is an example of instance: ### Data Fields


* 'text': a string containing the body of the story
* 'tags': a string containing a comma-separated tags in a multi-label setup, fullset of tags (except of one empty-tagged record): 'внешность', 'деньги', 'друзья', 'здоровье', 'отношения', 'работа', 'разное', 'родители', 'секс', 'семья', 'техника', 'учеба'
* 'votes': an integer sum of upvotes/downvotes
* 'url': a string containing the url where the story was web-scraped from
* 'datetime': a string containing with the datetime the story was written ### Data Splits


The has 2 multi-label stratified splits: train and test.
passage: TAGS
#task_categories-text-generation #task_categories-text-classification #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Russian #stories #website #region-us 
### Dataset Summary


It is an Russian-language dataset containing just over 30k unique stories as written as users of URL as of period from March 2009 to October 2022. This resource was blocked by Roskomnadzor so consider text-generation task if you want more stories.### Languages


ru-RU


Dataset Structure
-----------------### Data Instances


Here is an example of instance:### Data Fields


* 'text': a string containing the body of the story
* 'tags': a string containing a comma-separated tags in a multi-label setup, fullset of tags (except of one empty-tagged record): 'внешность', 'деньги', 'друзья', 'здоровье', 'отношения', 'работа', 'разное', 'родители', 'секс', 'семья', 'техника', 'учеба'
* 'votes': an integer sum of upvotes/downvotes
* 'url': a string containing the url where the story was web-scraped from
* 'datetime': a string containing with the datetime the story was written### Data Splits


The has 2 multi-label stratified splits: train and test.