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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- asm |
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- ben |
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- brx |
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- doi |
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- gom |
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- guj |
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- hin |
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- kan |
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- kas |
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- mai |
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- mal |
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- mar |
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- mni |
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- npi |
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- ory |
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- pan |
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- san |
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- sat |
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- snd |
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- tam |
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- tel |
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- urd |
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- eng |
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tags: |
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- language-identification |
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- indian-languages |
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pretty_name: ILID |
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size_categories: |
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- 100K<n<1M |
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--- |
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# ILID: Native Script Language Identification for Indian Languages |
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[**Paper**](https://huggingface.co/papers/2507.11832) | [**Code**](https://github.com/yashingle-ai/TextLangDetect) | [**Project Page**](https://yashingle-ai.github.io/ILID/) |
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🗣 **ILID: Indian Language Identification Dataset (23 Languages)** |
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**Authors:** [Yash Ingle](mailto:yash.ingle003@gmail.com), [Dr. Pruthwik Mishra](mailto:pruthwikmishra@aid.svnit.ac.in) |
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**Institute:** Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India |
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--- |
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## 📄 Dataset Description |
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The **ILID** (Indian Language Identification Dataset) benchmark contains **250,000** sentences from **English and 22 official Indian languages**, designed for training and evaluating **language identification models**. The dataset supports the task of distinguishing between Indian languages, many of which share scripts, vocabulary, and structure. |
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--- |
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## 📊 Dataset Statistics |
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| Language | Code | Train | Dev | Test | Total | |
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|--------------|-----------|-------|------|------|--------| |
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| Assamese | asm | 8000 | 1000 | 1000 | 10000 | |
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| Bengali | ben | 8000 | 1000 | 1000 | 10000 | |
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| Bodo | brx | 8000 | 1000 | 1000 | 10000 | |
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| Dogri | doi | 8000 | 1000 | 1000 | 10000 | |
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| Konkani | gom | 8000 | 1000 | 1000 | 10000 | |
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| Gujarati | guj | 8000 | 1000 | 1000 | 10000 | |
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| Hindi | hin | 8000 | 1000 | 1000 | 10000 | |
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| Kannada | kan | 8000 | 1000 | 1000 | 10000 | |
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| Kashmiri | kas | 8000 | 1000 | 1000 | 10000 | |
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| Maithili | mai | 8000 | 1000 | 1000 | 10000 | |
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| Malayalam | mal | 8000 | 1000 | 1000 | 10000 | |
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| Marathi | mar | 8000 | 1000 | 1000 | 10000 | |
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| Manipuri (Bengali) | mni_Beng | 8000 | 1000 | 1000 | 10000 | |
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| Manipuri (Meitei) | mni_Mtei | 8000 | 1000 | 1000 | 10000 | |
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| Nepali | npi | 8000 | 1000 | 1000 | 10000 | |
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| Odia | ory | 8000 | 1000 | 1000 | 10000 | |
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| Punjabi | pan | 8000 | 1000 | 1000 | 10000 | |
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| Sanskrit | san | 8000 | 1000 | 1000 | 10000 | |
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| Santali | sat | 8000 | 1000 | 1000 | 10000 | |
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| Sindhi (Arabic) | snd_Arab | 8000 | 1000 | 1000 | 10000 | |
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| Sindhi (Devanagari) | snd_Deva | 8000 | 1000 | 1000 | 10000 | |
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| Tamil | tam | 8000 | 1000 | 1000 | 10000 | |
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| Telugu | tel | 8000 | 1000 | 1000 | 10000 | |
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| Urdu | urd | 8000 | 1000 | 1000 | 10000 | |
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| English | eng | 8000 | 1000 | 1000 | 10000 | |
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| **Total** | — | **200000** | **25000** | **25000** | **250000** | |
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--- |
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## 📁 Files Provided |
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- `shuffled_train_sentences`: Training sentences (80% split – 200,000 samples) |
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- `shuffled_train_labels`: Corresponding labels for training sentences |
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- `shuffled_dev_sentences`: Validation (dev) sentences (10% split – 25,000 samples) |
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- `shuffled_dev_labels`: Corresponding labels for dev sentences |
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- `shuffled_test_sentences`: Test sentences (10% split – 25,000 samples) |
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- `shuffled_test_labels`: Corresponding labels for test sentences |
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## 📌 Tasks |
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- **Language Identification (LID)** |
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- **Multilingual Text Classification** |
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- **Benchmarking ML & DL Models on Indian Languages** |
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--- |
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## 🧹 Data Collection & Cleaning |
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- 13 languages collected using **web scraping** from Wikipedia, news portals, and blogs. |
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- 10 languages sampled from **large monolingual corpora** (Bhashaverse). |
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- Each sentence underwent **cleaning, normalization**, and **language filtering** via FastText. |
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--- |
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## 🧠 Models & Results |
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Baseline models include: |
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- **TF-IDF + Machine Learning:** SVM, Logistic Regression, Random Forest, etc. |
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- **FastText Classifier** |
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- **Fine-tuned MuRIL (BERT for Indian languages)** |
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Best ensemble models achieve **F1-scores of up to 0.99** on test/dev sets. |
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--- |
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## 📚 Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@misc{ingle2025ilidnativescriptlanguage, |
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title={ILID: Native Script Language Identification for Indian Languages}, |
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author={Yash Ingle and Pruthwik Mishra}, |
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year={2025}, |
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eprint={2507.11832}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2507.11832}, |
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} |
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``` |
