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README.md

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-license: mit
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+---
+license: mit
+---
+
+# 🗣️ IDLD23: Indian Dialect and Language Dataset (23 Languages)
+
+**Authors:** [Yash Ingle](mailto:yash.ingle003@gmail.com), [Pruthwik Mishra](mailto:pruthwikmishra@aid.svnit.ac.in)  
+**Institute:** Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India
+
+---
+
+## 📄 Dataset Description
+
+The **IDLD23** (Indian Language Identification Dataset) benchmark contains **230,000** 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.
+
+---
+
+## 📊 Dataset Statistics
+
+| Language | Code | Train | Dev | Test | Total |
+|----------|------|-------|-----|------|-------|
+| Assamese | asm | 8000 | 1000 | 1000 | 10000 |
+| Bengali | ben | 8000 | 1000 | 1000 | 10000 |
+| Bodo | brx | 8000 | 1000 | 1000 | 10000 |
+| Dogri | doi | 8000 | 1000 | 1000 | 10000 |
+| Konkani | gom | 8000 | 1000 | 1000 | 10000 |
+| Gujarati | guj | 8000 | 1000 | 1000 | 10000 |
+| Hindi | hin | 8000 | 1000 | 1000 | 10000 |
+| Kannada | kan | 8000 | 1000 | 1000 | 10000 |
+| Kashmiri | kas | 8000 | 1000 | 1000 | 10000 |
+| Maithili | mai | 8000 | 1000 | 1000 | 10000 |
+| Malayalam | mal | 8000 | 1000 | 1000 | 10000 |
+| Marathi | mar | 8000 | 1000 | 1000 | 10000 |
+| Manipuri | mni | 8000 | 1000 | 1000 | 10000 |
+| Nepali | npi | 8000 | 1000 | 1000 | 10000 |
+| Odia | ory | 8000 | 1000 | 1000 | 10000 |
+| Punjabi | pan | 8000 | 1000 | 1000 | 10000 |
+| Sanskrit | san | 8000 | 1000 | 1000 | 10000 |
+| Santali | sat | 8000 | 1000 | 1000 | 10000 |
+| Sindhi | snd | 8000 | 1000 | 1000 | 10000 |
+| Tamil | tam | 8000 | 1000 | 1000 | 10000 |
+| Telugu | tel | 8000 | 1000 | 1000 | 10000 |
+| Urdu | urd | 8000 | 1000 | 1000 | 10000 |
+| English | eng | 8000 | 1000 | 1000 | 10000 |
+| **Total** | — | **184000** | **23000** | **23000** | **230000** |
+
+---
+
+## 📁 Files Provided
+
+- `idld23_train.csv`: 80% training split.
+- `idld23_dev.csv`: 10% development/validation set.
+- `idld23_test.csv`: 10% test set.
+- `idld23_full.csv`: All 230K samples.
+- `idld23_mixed.csv`: A random sample combining all languages.
+- `idld23_summary.csv`: Summary statistics or language distribution.
+
+---
+
+## 📌 Tasks
+
+- **Language Identification (LID)**
+- **Multilingual Text Classification**
+- **Benchmarking ML & DL Models on Indian Languages**
+
+---
+
+## 🧹 Data Collection & Cleaning
+
+- 13 languages collected using **web scraping** from Wikipedia, news portals, blogs.
+- 10 languages sampled from **large monolingual corpora** (Bhashaverse).
+- Each sentence underwent **cleaning, normalization**, and **language filtering** via FastText.
+
+---
+
+## 🧠 Models & Results
+
+Baseline models include:
+- **TF-IDF + Machine Learning:** SVM, Logistic Regression, Random Forest, etc.
+- **FastText Classifier**
+- **Fine-tuned MuRIL (BERT for Indian languages)**
+
+Best ensemble models achieve **F1-scores of up to 0.99** on test/dev sets.
+
+---
+
+## 📚 Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@inproceedings{ingle2024ilid,
+  title={ILID: Native Script Language Identification for Indian Languages},
+  author={Yash Ingle,Dr. Pruthwik Mishra},
+  booktitle={Under Review},
+  year={2025}
+}