|
--- |
|
license: cc-by-sa-4.0 |
|
task_categories: |
|
- text-classification |
|
- text2text-generation |
|
- text-generation |
|
tags: |
|
- language-identification |
|
- multilingual |
|
- indic-languages |
|
- text-classification |
|
- India |
|
pretty_name: Multilingual Headlines Language Identification |
|
size_categories: |
|
- 1K<n<10K |
|
language: |
|
- hi |
|
- ur |
|
- bn |
|
- gu |
|
- kn |
|
- ml |
|
- mr |
|
- or |
|
- pa |
|
- ta |
|
--- |
|
|
|
# Dataset Card for Language Identification Dataset |
|
|
|
### Dataset Description |
|
|
|
- **Repository:** processvenue/language_identification |
|
- **Total Samples:** 9627 |
|
- **Number of Languages:** 10 |
|
- **Splits:** |
|
- Train: 6741 samples (70%) |
|
- Validation: 1441 samples (15%) |
|
- Test: 1445 samples (15%) |
|
|
|
### Dataset Summary |
|
|
|
A comprehensive dataset for Indian language identification and text classification. The dataset contains text samples across 10 major Indian languages, making it suitable for developing language identification systems and multilingual NLP applications. |
|
|
|
### Languages and Distribution |
|
|
|
``` |
|
Language Distribution: |
|
Urdu 1000 |
|
Hindi 1000 |
|
Odia 1000 |
|
Tamil 1000 |
|
Kannada 1000 |
|
Bengali 1000 |
|
Gujarati 1000 |
|
Malayalam 1000 |
|
Marathi 1000 |
|
Punjabi 627 |
|
``` |
|
|
|
### Language Details |
|
|
|
1. **Hindi (hi)**: Major language of India, written in Devanagari script |
|
2. **Urdu (ur)**: Written in Perso-Arabic script |
|
3. **Bengali (bn)**: Official language of Bangladesh and several Indian states |
|
4. **Gujarati (gu)**: Official language of Gujarat |
|
5. **Kannada (kn)**: Official language of Karnataka |
|
6. **Malayalam (ml)**: Official language of Kerala |
|
7. **Marathi (mr)**: Official language of Maharashtra |
|
8. **Odia (or)**: Official language of Odisha |
|
9. **Punjabi (pa)**: Official language of Punjab |
|
10. **Tamil (ta)**: Official language of Tamil Nadu and Singapore |
|
|
|
### Data Fields |
|
|
|
- `text`: The input text sample |
|
- `language`: The language label (one of the 10 languages listed above) |
|
|
|
### Usage Example |
|
|
|
```python |
|
from datasets import load_dataset |
|
|
|
# Load the dataset |
|
dataset = load_dataset("processvenue/language_identification") |
|
|
|
# Access splits |
|
train_data = dataset['train'] |
|
validation_data = dataset['validation'] |
|
test_data = dataset['test'] |
|
|
|
# Example usage |
|
print(f"Sample text: {train_data[0]['text']}") |
|
print(f"Language: {train_data[0]['language']}") |
|
``` |
|
|
|
### Applications |
|
|
|
1. **Language Identification Systems** |
|
- Automatic language detection |
|
- Text routing in multilingual systems |
|
- Content filtering by language |
|
|
|
2. **Machine Translation** |
|
- Language-pair identification |
|
- Translation system selection |
|
|
|
3. **Content Analysis** |
|
- Multilingual content categorization |
|
- Language-specific content analysis |
|
|
|
### Citation |
|
|
|
If you use this dataset in your research, please cite: |
|
|
|
``` |
|
@dataset{language_identification_2024, |
|
author = {ProcessVenue Team}, |
|
title = {Multilingual Headlines Language Identification Dataset}, |
|
year = {2024}, |
|
publisher = {Hugging Face}, |
|
url = {https://huggingface.co/datasets/processvenue/language-identification} |
|
} |
|
``` |
|
###reference |
|
``` |
|
@misc{disisbig_news_datasets, |
|
author = {Gaurav}, |
|
title = {Indian Language News Datasets}, |
|
year = {2019}, |
|
publisher = {Kaggle}, |
|
url = {https://www.kaggle.com/datasets/disisbig/} |
|
} |
|
``` |
