Add task category, language tags, and links to paper/code/project page

Hi! I'm Niels from the community science team at Hugging Face.

This PR improves the dataset card for ILID by:
- Adding the `text-classification` task category to the YAML metadata.
- Including the language tags for the 23 supported languages (English and 22 official Indian languages).
- Adding `pretty_name` and `size_categories` to the metadata.
- Adding direct links to the research paper, the GitHub code repository, and the official project page at the top of the README.
- Cleaning up the Markdown formatting for better readability.

This will make the dataset more discoverable and useful for researchers working on multilingual NLP and language identification!

README.md

@@ -1,8 +1,45 @@
 ---
 license: mit
+task_categories:
+- text-classification
+language:
+- asm
+- ben
+- brx
+- doi
+- gom
+- guj
+- hin
+- kan
+- kas
+- mai
+- mal
+- mar
+- mni
+- npi
+- ory
+- pan
+- san
+- sat
+- snd
+- tam
+- tel
+- urd
+- eng
+tags:
+- language-identification
+- indian-languages
+pretty_name: ILID
+size_categories:
+- 100K<n<1M
 ---
-🗣ILID: Indian Language Identification Dataset (23 Languages)
-**Authors:** [Yash Ingle](mailto:yash.ingle003@gmail.com), [Dr.Pruthwik Mishra](mailto:pruthwikmishra@aid.svnit.ac.in)  
+
+# ILID: Native Script Language Identification for Indian Languages
+
+[**Paper**](https://huggingface.co/papers/2507.11832) | [**Code**](https://github.com/yashingle-ai/TextLangDetect) | [**Project Page**](https://yashingle-ai.github.io/ILID/)
+
+🗣 **ILID: Indian Language Identification Dataset (23 Languages)**  
+**Authors:** [Yash Ingle](mailto:yash.ingle003@gmail.com), [Dr. Pruthwik Mishra](mailto:pruthwikmishra@aid.svnit.ac.in)  
 **Institute:** Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India
 
 ---
@@ -44,16 +81,15 @@ The **ILID** (Indian Language Identification Dataset) benchmark contains **250,0
 | **Total**    | —         | **200000** | **25000** | **25000** | **250000** |
 
 ---
-📁 Files Provided
-
-- shuffled_train_sentences: Training sentences (80% split – 200,000 samples)
-- shuffled_train_labels: Corresponding labels for training sentences
-- shuffled_dev_sentences: Validation (dev) sentences (10% split – 25,000 samples)
-- shuffled_dev_labels: Corresponding labels for dev sentences
-- shuffled_test_sentences: Test sentences (10% split – 25,000 samples)
-- shuffled_test_labels: Corresponding labels for test sentences
 
+## 📁 Files Provided
 
+- `shuffled_train_sentences`: Training sentences (80% split – 200,000 samples)
+- `shuffled_train_labels`: Corresponding labels for training sentences
+- `shuffled_dev_sentences`: Validation (dev) sentences (10% split – 25,000 samples)
+- `shuffled_dev_labels`: Corresponding labels for dev sentences
+- `shuffled_test_sentences`: Test sentences (10% split – 25,000 samples)
+- `shuffled_test_labels`: Corresponding labels for test sentences
 
 ## 📌 Tasks
 
@@ -65,7 +101,7 @@ The **ILID** (Indian Language Identification Dataset) benchmark contains **250,0
 
 ## 🧹 Data Collection & Cleaning
 
-- 13 languages collected using **web scraping** from Wikipedia, news portals, blogs.
+- 13 languages collected using **web scraping** from Wikipedia, news portals, and blogs.
 - 10 languages sampled from **large monolingual corpora** (Bhashaverse).
 - Each sentence underwent **cleaning, normalization**, and **language filtering** via FastText.
 
@@ -95,4 +131,5 @@ If you use this dataset, please cite:
       archivePrefix={arXiv},
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2507.11832}, 
-}
+}
+```