--- 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 num_bytes: 4038969.556905202 num_examples: 5680 - name: test num_bytes: 4039680.643094798 num_examples: 5681 - name: full num_bytes: 40393251 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 1. Raw posts were extracted with metadata (likes, comments, reposts, views, date) 2. Empty or invalid posts (length < 10 characters) were removed 3. Duplicate posts were deduplicated 4. Posts consisting only of special characters/links were filtered out 5. 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 1. **Class imbalance**: Cooking class (3.3%) is significantly underrepresented 2. **Platform bias**: Only VKontakte, may not represent other social media 3. **Language variation**: Mix of Tatar and Russian may affect model performance 4. **Temporal bias**: 10+ years of data, language use may have evolved 5. **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 ```python 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