Language Identification
Collection
Multilingual Text Datasets • 2 items • Updated • 1
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for Language Identification Dataset
Sample Notebook:
https://www.kaggle.com/code/rishabhbhartiya/indian-language-classification-smote-resampled
Kaggle Dataset link:
https://www.kaggle.com/datasets/processvenue/indian-language-identification
Dataset Summary
A comprehensive dataset for Indian language identification and text classification. The dataset contains text samples across 18 major Indian languages, making it suitable for developing language identification systems and multilingual NLP applications.
Languages and Distribution
Language Distribution:
1. Punjabi 15075
2. Odia 14258
3. Konkani 14098
4. Hindi 13469
5. Sanskrit 11788
6. Bengali 10036
7. English 9819
8. Sindhi 8838
9. Nepali 8694
10. Marathi 6625
11. Gujarati 3788
12. Telugu 3563
13. Malayalam 3423
14. Tamil 3195
15. Kannada 2651
16. Kashmiri 2282
17. Urdu 2272
18. Assamese 1910
Data Fields
Headline: The input text sampleLanguage: The language label (one of the 18 languages listed above)
Usage Example
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Process-Venue/Language-Identification-v2")
# Access splits
train_data = dataset['train']
validation_data = dataset['validation']
test_data = dataset['test']
# Example usage
print(f"Sample text: {train_data[0]['Headline']}")
print(f"Language: {train_data[0]['Language']}")
Applications
Language Identification Systems
- Automatic language detection
- Text routing in multilingual systems
- Content filtering by language
Machine Translation
- Language-pair identification
- Translation system selection
Content Analysis
- Multilingual content categorization
- Language-specific content analysis
Citation
If you use this dataset in your research, please cite:
@dataset{language_identification_2025,
author = {ProcessVenue Team},
website = {https://processvenue.com},
title = {Multilingual Headlines Language Identification Dataset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/processvenue/language-identification},
version = {1.1}
}
###reference
1. @misc{disisbig_news_datasets,
author = {Gaurav},
title = {Indian Language News Datasets},
year = {2019},
publisher = {Kaggle},
url = {https://www.kaggle.com/datasets/disisbig/}
}
2. @misc{bhattarai_nepali_financial_news,
author = {Anuj Bhattarai},
title = {The Nepali Financial News Dataset},
year = {2024},
publisher = {Kaggle},
url = {https://www.kaggle.com/datasets/anujbhatrai/the-nepali-financial-news-dataset}
}
3. @misc{sourav_inshorts_hindi,
author = {Shivam Sourav},
title = {Inshorts-Hindi},
year = {2023},
publisher = {Kaggle},
url = {https://www.kaggle.com/datasets/shivamsourav2002/inshorts-hindi}
}
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Repository:
processvenue/language_identification
Total Samples:
135784
Number of Languages:
18
Splits:
Splits:
Total file size:
15.5 MB