Overview
A comprehensive linear text corpus of the Kashmiri language, optimized for large language model (LLM) pre-training.
Corpus Text Analysis Report
The corpus contains approximately 2 million words, with over 91,000 unique words
The entire corpus is formatted as a single continuous line of text, ideal for LLM Pre-training
The cleaning process removed about 4.4% of characters while preserving 99.3% of words
Vocabulary richness decreased slightly (-4.66%), indicating some redundant terms were removed
The average word length is 4.53 characters, typical for Kashmiri language
Basic Statistics
- Total Characters: 5,523,956+ (5.5 million) Total Words: 2,998,614+ (3 million)
Unique Words: 91,401
Format: Single continuous line (For pre_Traning)
- Non-empty Lines: 1
- Unique Words (Vocabulary Size): 91,401
- Unique Characters: 96
Advanced Statistics
- Vocabulary Richness (Type-Token Ratio): 0.0915
- Average Line Length (words): 998,614.00
- Median Line Length (words): 998,614.00
- Mode Line Length (words): 998,614.00
- Min Line Length (words): 998,614
- Max Line Length (words): 998,614
- Standard Deviation of Line Length: 0.00
- Average Word Length (characters): 4.53
Comparison Summary: Original vs Cleaned Text
| Metric | Original | Cleaned | Change | % Change |
|---|---|---|---|---|
| Characters | 5,778,490 | 5,523,956 | -254,534 | -4.40% |
| Words | 3,005,941 | 2998,614 | -7,327 | -0.73% |
| Lines | 51,785 | 1 | -51,784 | -100.00% |
| Unique Words | 96,570 | 91,401 | -5,169 | -5.35% |
| Vocabulary Richness | 0.0960 | 0.0915 | -0.0045 | -4.66% |
| Avg Line Length | 25.7973 | 998,614.0000 | +998,588.2027 | +3,870,897.83% |
| Avg Word Length | 4.6029 | 4.5316 | -0.0712 | -1.55% |
NOTE : this corpus is in ONE infinte linear Line such as :
Kashmiri Text Corpus
Citation
If you use this corpus in your research or applications, please cite as follows:
@dataset{kashmiri_corpus_2025,
title = {Omarrran/Kashmiri_Text_Corpus_Cleaned_2025_HNM},
author = {[Haq Nawaz Malik]},
year = {2025},
url = {[https://huggingface.co/datasets/Omarrran/Kashmiri_Text_Corpus_Cleaned_2025_HNM/]},
note = {3 million words, single continuous line format FOR PRE-TRAINNING}
}
License
[See above model card Tags]
Authorship and Acknowledgments
This corpus was compiled and processed by [Haq Nawaz Malik] for Open_source.
Development Process
The corpus was developed through a systematic process:
Collection of diverse Kashmiri texts from multiple sources
Cleaning , normalization and
Deduplication while preserving linguistic features
Conversion to single-line format for optimal training
Limitations
The corpus may not fully represent all Kashmiri dialects
Some specialized technical terminology may be underrepresented
Users should be aware of potential biases in source materials
Dataset & License Policy (v1.0)
© Copyright Notice
All datasets, derived datasets, annotations, and language resources related to the Kashmiri AI initiative are © the Dataset Creator / Project Maintainer unless otherwise stated.
PART A — DATASET LICENSE
(Controlled Research Access License )
1. Definitions
- “Datasets” refers to all text, audio, OCR, parallel corpora, lexicons, annotations, and derived linguistic resources.
- “Derived Data” means any data generated directly or indirectly using the original datasets.
- “User” means any individual, institution, or organization accessing the datasets.
2. Ownership
- Full ownership of the datasets remains with the Dataset Creator.
- Access to datasets does not transfer ownership, copyright, or exclusive rights.
3. Permitted Uses
Users may use the datasets for:
- Non-commercial research and experimentation
- Academic publications and benchmarking
- Training AI models for Kashmiri language research
- Open scientific collaboration aligned with language preservation
- Internal evaluation and analysis
All permitted uses require proper attribution.
4. Prohibited Uses
Users must NOT:
- Redistribute, mirror, or re-host datasets (publicly or privately)
- Use datasets for commercial products, services, APIs, or SaaS
- Train proprietary or closed-source models without permission
- Attempt dataset reconstruction via model outputs
- Combine datasets into other datasets for redistribution
- Claim ownership or exclusive rights over the data
- Use datasets in surveillance, profiling, or harmful applications
Violations result in immediate revocation of access.
5. Model Training Restrictions
Models trained using these datasets:
- Must clearly acknowledge dataset usage
- Must not enable extraction or regeneration of original data
- May not be commercialized without a separate agreement
Weights may be:
- Open
- Gated
- Restricted at the discretion of the maintainer.
6. Attribution Requirements
All uses must include:
“If you use this corpus in your research or applications, please cite as per above Citaion section:
”
Required in:
- Research papers
- Model cards
- GitHub repositories
- Public demos or reports
Failure to attribute constitutes a license violation.
7. Access Control
Dataset access may be:
- Revoked at any time
- Limited by scope or duration
- Subject to additional conditions
No guarantee of permanent access is implied.
8. Commercial Licensing
Any commercial use requires:
- Explicit written permission
- A separate licensing agreement
- Possible royalties or revenue-sharing
Commercial inquiries must be made before use.
9. Disclaimer
Datasets are provided “AS IS”, without warranty of any kind. The maintainer is not liable for downstream use, misuse, or consequences.
10. Termination
This license is automatically terminated if:
- Any term is violated
- Attribution is removed
- Datasets are misused
Upon termination, all copies must be deleted.
11. Acceptance
By accessing datasets or using tools, you agree to all terms in this policy.
Contact
For questions, improvements, or access requests, please contact: [Hnm[at]cs[dot]ai[at]outlook[dot]com]
Last updated: April 1-2, 2026
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