Datasets:
File size: 4,246 Bytes
18df22e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 |
# Dataset Card for Language Identification Dataset
### Dataset Description
- **Repository:** processvenue/language_identification
- **Total Samples:** 135784
- **Number of Languages:** 18
- **Splits:**
- Train: 104849 samples (70%)
- Validation: 15467 samples (15%)
- Test: 15468 samples (15%)
### 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
```
### 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
11. **Telugu (te)**: Official language of Telangana and Andhra Pradesh
12. **Sanskrit (sa)**: Ancient language of India, written in Devanagari script
13. **Konkani (kok)**: Official language of Goa
14. **Sindhi (sd)**: Official language of Sindh province in Pakistan
15. **Nepali (ne)**: Official language of Nepal
16. **Assamese (as)**: Official language of Assam
17. **Kashmiri (ks)**: Official language of Jammu and Kashmir
18. **English (en)**: Official language of India
### Data Fields
- `Headline`: The input text sample
- `Language`: The language label (one of the 18 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]['Headline']}")
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_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}
}
``` |