Datasets:

TatarNLPWorld
/

vk-groups

dataset_info:
  - config_name: full
    features:
      - name: text
        dtype: string
      - name: class
        dtype: string
      - name: source_url
        dtype: string
      - name: source_type
        dtype: string
      - name: likes
        dtype: int64
      - name: comments
        dtype: int64
      - name: reposts
        dtype: int64
      - name: views
        dtype: int64
      - name: date
        dtype: string
      - name: post_id
        dtype: int64
      - name: label
        dtype: int64
      - name: engagement_total
        dtype: int64
      - name: engagement_rate
        dtype: float64
    splits:
      - name: train
        num_bytes: 32314600.8
        num_examples: 45444
      - name: validation
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        num_examples: 5680
      - name: test
        num_bytes: 4039680.643094798
        num_examples: 5681
      - name: full
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        num_examples: 56805
    download_size: 39622234
    dataset_size: 80786502
  - config_name: simple
    features:
      - name: text
        dtype: string
      - name: class
        dtype: string
      - name: label
        dtype: int64
    splits:
      - name: train
        num_bytes: 26785697.6
        num_examples: 45444
      - name: validation
        num_bytes: 3347917.488953437
        num_examples: 5680
      - name: test
        num_bytes: 3348506.9110465627
        num_examples: 5681
      - name: full
        num_bytes: 33482122
        num_examples: 56805
    download_size: 35709543
    dataset_size: 66964244
configs:
  - config_name: full
    data_files:
      - split: train
        path: full/train-*
      - split: validation
        path: full/validation-*
      - split: test
        path: full/test-*
      - split: full
        path: full/full-*
  - config_name: simple
    data_files:
      - split: train
        path: simple/train-*
      - split: validation
        path: simple/validation-*
      - split: test
        path: simple/test-*
      - split: full
        path: simple/full-*
license: mit
task_categories:
  - text-classification
  - token-classification
  - zero-shot-classification
  - text-generation
  - summarization
language:
  - tt
pretty_name: 'VK Groups: Tatar Social Media Dataset'

VK Groups Dataset: Tatar Social Media Posts

Dataset Description

This dataset contains posts from five popular VKontakte (VK) communities targeting Tatar-speaking audiences. It includes content across different themes: religion, relationships, humor, advice, and cooking. The dataset is designed for various NLP tasks including text classification, sentiment analysis, topic modeling, and engagement prediction.

Curated by: TatarNLPWorld
Language(s): Tatar (Cyrillic script), some Russian code-switching
License: MIT

Dataset Sources

Repository: https://huggingface.co/datasets/TatarNLPWorld/vk-groups
Source VK Groups:
- Религия (Religion): https://vk.com/allahtan
- Ялгыз Тушәк (Lonely Bed/Relationships): https://vk.com/ialgyz16
- Сазлык (Swamp/Humor): https://vk.com/public147862424
- КИҢӘШ КИРӘК (Advice Needed): https://vk.com/sovet_kinesh
- Кулинария (Cooking): https://vk.com/public221151764

Dataset Summary

Statistic	Value
Total posts	56,805
Total classes	5
Date range	2015-06-17 to 2026-03-11
Total likes	2,708,506
Total views	344,348,797
Average engagement rate	40.17%

Class Distribution

Class	Count	Percentage
Сазлык (Humor)	22,040	38.8%
Религия (Religion)	13,017	22.9%
КИҢӘШ КИРӘК (Advice)	10,187	17.9%
Ялгыз Тушәк (Relationships)	9,688	17.1%
Кулинария (Cooking)	1,873	3.3%

Dataset Structure

Two configurations are available:

1. `full` - Complete dataset with all features

text: Post content (string)
class: Class name in Tatar (string)
source_url: URL of the source VK group (string)
source_type: Always "vk_group" (string)
likes: Number of likes (int64)
comments: Number of comments (int64)
reposts: Number of reposts (int64)
views: Number of views (int64)
date: Post publication date (string)
post_id: Unique post identifier (int64)
label: Numeric class label (0-4) (int64)
engagement_total: Total interactions (likes+comments+reposts) (int64)
engagement_rate: (engagement_total / views) * 100 (float64)

2. `simple` - Simplified version for classification

text: Post content (string)
class: Class name in Tatar (string)
label: Numeric class label (0-4) (int64)

Data Splits

All configurations are split into:

Split	Size	Percentage
Train	45,444	80%
Validation	5,680	10%
Test	5,681	10%
Full	56,805	100%
Sample	1,000	1.8%

Dataset Creation

Data Collection

Posts were collected from five public VK communities using the VK API. The data includes all publicly available posts from each group's inception through March 2026.

Data Processing

Raw posts were extracted with metadata (likes, comments, reposts, views, date)
Empty or invalid posts (length < 10 characters) were removed
Duplicate posts were deduplicated
Posts consisting only of special characters/links were filtered out
Final dataset: 56,805 posts (from original 117,831, 48.2% retained)

Label Mapping

Label	Class
0	КИҢӘШ КИРӘК (Advice)
1	Кулинария (Cooking)
2	Религия (Religion)
3	Сазлык (Humor)
4	Ялгыз Тушәк (Relationships)

Uses

Direct Use

Text Classification: Multi-class classification of Tatar social media content
Sentiment Analysis: Analyze emotional tone across different community types
Topic Modeling: Discover themes in Tatar-language social media
Engagement Prediction: Predict post popularity based on content
Code-switching Analysis: Study Tatar-Russian language mixing
Cultural Studies: Research Tatar online communities and discourse

Out-of-Scope Use

Not suitable for training production systems without careful bias evaluation
Not representative of all Tatar speakers or online communities
Contains user-generated content with potential biases

Bias, Risks, and Limitations

Class imbalance: Cooking class (3.3%) is significantly underrepresented
Platform bias: Only VKontakte, may not represent other social media
Language variation: Mix of Tatar and Russian may affect model performance
Temporal bias: 10+ years of data, language use may have evolved
Content bias: Topics reflect community interests, not general Tatar discourse

Citation

If you use this dataset, please cite:

@dataset{vk_groups_tatar_2026, title = {VK Groups Dataset: Tatar Social Media Posts}, author = {Arabov, Mullosharaf Kurbonovich and TatarNLPWorld}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/TatarNLPWorld/vk-groups}, note = {Created by Arabov Mullosharaf Kurbonovich for TatarNLPWorld organization} }

How to Use

from datasets import load_dataset

# Load full dataset
dataset_full = load_dataset('TatarNLPWorld/vk-groups', 'full')
train_full = dataset_full['train']

# Load simple dataset (for classification)
dataset_simple = load_dataset('TatarNLPWorld/vk-groups', 'simple')
train_simple = dataset_simple['train']

# Access data
texts = train_simple['text']
labels = train_simple['label']
classes = train_simple['class']

Contact

For questions or collaborations, please contact TatarNLPWorld.

Languages: Tatar (Cyrillic), some Russian
License: MIT
Size: 56,805 posts
Last Updated: March 2026