
# Dataset Card for ruMeme Descriptions

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Contributions](#contributions)

## Dataset Description

### Dataset Summary
This is a dataset of more than 2500 memes in Russian and their descriptions from parsing https://vk.com/textmeme.

### Supported Tasks and Leaderboards

`text2image` - generate meme from its textual description

`image2text` - generate description of given meme

### Languages

The text in the dataset is in only in Russian. The associated BCP-47 code is `ru`.

## Dataset Structure

### Data Fields

- `Image`: Meme itself at 512 by 512px (image)
- `Text`: Description (str)

### Data Splits

There is not enough examples yet to split it to train/test/val in my opinion.

## Dataset Creation

As already mentioned, data was gathered from parsing https://vk.com/textmeme.
size_categories:1K<n<10K language:ru license:cc-by-sa-4.0 ru memes text2image image2text region:us
{"language": ["ru"], "license": "cc-by-sa-4.0", "size_categories": ["1K<n<10K"], "pretty_name": "rumeme-desc", "tags": ["ru", "memes", "text2image", "image2text"]}
TAGS
#size_categories-1K<n<10K #language-Russian #license-cc-by-sa-4.0 #ru #memes #text2image #image2text #region-us 


# Dataset Card for ruMeme Descriptions

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Considerations for Using the Data
- Contributions

## Dataset Description

### Dataset Summary
This is a dataset of more than 2500 memes in Russian and their descriptions from parsing URL

### Supported Tasks and Leaderboards

'text2image' - generate meme from its textual description

'image2text' - generate description of given meme

### Languages

The text in the dataset is in only in Russian. The associated BCP-47 code is 'ru'.

## Dataset Structure

### Data Fields

- 'Image': Meme itself at 512 by 512px (image)
- 'Text': Description (str)

### Data Splits

There is not enough examples yet to split it to train/test/val in my opinion.

## Dataset Creation

As already mentioned, data was gathered from parsing URL
# Dataset Card for ruMeme Descriptions ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Considerations for Using the Data
- Contributions ## Dataset Description ### Dataset Summary
This is a dataset of more than 2500 memes in Russian and their descriptions from parsing URL ### Supported Tasks and Leaderboards

'text2image' - generate meme from its textual description

'image2text' - generate description of given meme ### Languages

The text in the dataset is in only in Russian. The associated BCP-47 code is 'ru'. ## Dataset Structure ### Data Fields

- 'Image': Meme itself at 512 by 512px (image)
- 'Text': Description (str) ### Data Splits

There is not enough examples yet to split it to train/test/val in my opinion. ## Dataset Creation

As already mentioned, data was gathered from parsing URL
TAGS
#size_categories-1K<n<10K #language-Russian #license-cc-by-sa-4.0 #ru #memes #text2image #image2text #region-us 
 # Dataset Card for ruMeme Descriptions ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Fields
  - Data Splits
- Dataset Creation
- Considerations for Using the Data
- Contributions ## Dataset Description ### Dataset Summary
This is a dataset of more than 2500 memes in Russian and their descriptions from parsing URL ### Supported Tasks and Leaderboards

'text2image' - generate meme from its textual description

'image2text' - generate description of given meme ### Languages

The text in the dataset is in only in Russian. The associated BCP-47 code is 'ru'. ## Dataset Structure ### Data Fields

- 'Image': Meme itself at 512 by 512px (image)
- 'Text': Description (str) ### Data Splits

There is not enough examples yet to split it to train/test/val in my opinion. ## Dataset Creation

As already mentioned, data was gathered from parsing URL