Everything built for the Kashmiri language, in one place
Kashmiri research is scattered across arXiv, HuggingFace, government portals and university PDFs — which makes it hard to know what already exists, and easy to rebuild something twice. This is a single, tracked catalogue of 205 datasets, papers, models, tools and the groups behind them, spanning 1932–2026.
Where the effort is going
Resource count by task. The long tail is the interesting part — it shows which problems in Kashmiri NLP are still essentially untouched.
OpenLID-v3
Training data for high-coverage language identification: 194 language varieties plus a not-a-language class, with labels compatible with FLORES+. Includes Kashmiri.
SampurNER Kashmiri (IndicBERTv2)
A named-entity recognition model for Kashmiri built on IndicBERTv2.
Dataset Creation & Benchmarking for Kashmiri News Snippet Classification
First manually labeled corpus of 15,036 Kashmiri news snippets across 10 domains. Benchmarks ParsBERT (F1=0.98), IndicBERTv2+GRU, BLOOM-560m, and Flan-T5 in zero-shot settings.
Kashmiri News Snippet Classification Dataset (15K)
15,036 manually labelled Kashmiri news snippets across ten domains: Medical, Politics, Sports, Tourism, Education, Art & Craft, Environment, Entertainment, Technology and Culture. The first labelled Kashmiri text classification dataset.
EnsembleSenti-Kash: Stacked Ensemble for Kashmiri Sentiment Classification
A stacked ensemble learning system for Kashmiri sentiment analysis with manually labeled data. Compares SVM, Random Forest, XGBoost, mBERT, and LSTM architectures.
ILID — Indian Language Identification
250,000 sentences in English and the 22 scheduled Indian languages (10,000 Kashmiri) for training and evaluating native-script language identification.
Kashmiri BERT (kashmiri-llm-bert-base)
BERT-base model trained specifically for the Kashmiri language. Useful for downstream tasks like text classification, NER, and feature extraction.
MVL-SIB
Vision-language extension of SIB-200: image–sentence pairs across 205 languages and 7 topics for testing cross-modal topic matching.
Kashmiri Poet Dataset — Shruks
1,552 Kashmiri shruks (8,283 lines, about 36K words), offered for classification, generation and translation experiments. Access is granted on request.
SIB-200 — Topic Classification (Kashmiri)
Topic-classification benchmark for 200+ languages built on FLORES-200 sentences, with Kashmiri in both Perso-Arabic and Devanagari script (1,004 sentences each: 701 train, 99 dev, 204 test).
GlotLID — Language Identification
An open language identifier for 1,600+ languages, including Kashmiri in Perso-Arabic, Devanagari and Latin script. FineWeb-2 uses it to decide which web pages are Kashmiri.
IndicLID — Language Identification for Indian Languages
Language identifier for Indian languages that recognises Kashmiri in Perso-Arabic (kas_Arab), Devanagari (kas_Deva) and Latin (kas_Latn) script.
BLOOM-560M
Open multilingual LLM pretrained on ROOTS corpus (incl. Persian/Urdu). Used for zero-shot Kashmiri text classification. Effective for cross-lingual transfer to Kashmiri.
IndicBERTv2 (ai4bharat)
Multilingual BERT model pretrained on Indian languages including Kashmiri. Used as embedding backbone in news classification benchmarks (F1=0.98 with GRU).
Something missing?
This hub is only useful if it stays current. If you have built a Kashmiri dataset, model, tool, or published a paper — or you know of one that is not listed — send it over. Submissions are reviewed before they appear.
Showing the bundled catalogue — the live database is not reachable right now.