Nli-For-Simcse Marathi Dataset: High-Quality Marathi NLP Corpus
📌 Overview
The Nli-For-Simcse Marathi dataset is a meticulously curated collection of 274951 rows of Marathi text, ensuring linguistic accuracy and natural flow. Every sentence has been verified by native Marathi speakers to maintain contextual integrity and correctness.
This dataset is designed for semantic search, text classification, and various NLP tasks, making it a valuable resource for machine learning models dealing with Marathi language understanding.
🔥 Key Features
✅ High-Quality Marathi Data – Professionally curated and reviewed.
✅ Native Speaker Verification – Every row is manually checked for accuracy.
✅ Optimized for NLP Tasks – Useful for semantic modeling, text classification, and retrieval-based applications.
✅ Clean and Structured Data – Ready-to-use for deep learning and transformer models.
✅ Supports Diverse Use Cases – Ideal for zero-shot classification, sentiment analysis, and language comprehension models.
📂 Dataset Structure
- Language: Marathi (
mr
) - Rows: 274951
- Columns: anchor, positive, negative
- Size: 124.87 MB (0.12 GB)
- Format: Text corpus (structured sentences & paragraphs)
- Validation: Human-reviewed for correctness
- Intended Use: Training NLP models for classification, retrieval, and understanding tasks
🚀 Usage Guide
To integrate this dataset into your NLP workflow, use the following code:
from datasets import load_dataset
dataset = load_dataset("Singhchandann/nli-for-simcse_marathi")
The dataset can be directly used for training, fine-tuning, and evaluating NLP models.
Here’s a properly structured and refined version of your license section:
🔒 License & Accessibility
📜 License: CC BY-NC-ND 4.0
This dataset is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0) license.
- ✅ Attribution Required: You must provide proper credit when using this dataset after getting permission.
- ⛔ No Commercial Use: This dataset cannot be used for commercial purposes.
- ⛔ No Modifications: You cannot modify, adapt, or create derivative datasets from this work.
For any special permissions or exceptions, please contact on: Author Email
🔗 License Details: CC BY-NC-ND 4.0
🔐 Access & Permissions
- This dataset is private and not publicly available.
- Only authorized users with explicit permission can access and utilize this dataset.
📩 For access requests or further inquiries, contact the dataset author.
📧 Author & Contact
- Author: Chandan Singh
- Hugging Face Profile: Singhchandann
- Intended Users: Researchers, NLP practitioners, and AI developers working with Marathi text data.
- github Profile: Singhchandann
- Gmail: Send an email
For inquiries, please reach out via Hugging Face or Github or gmail.
📊 Example Data Samples
Example 1
anchor:
हिरव्या रंगाचा टी-शर्ट घातलेला एक माणूस त्याच्या कार्यालयात काम करतो.
positive:
एक माणूस घरामध्ये काम करत आहे.
negative:
तो माणूस मेलबॉक्सकडे जात आहे.
Example 2
anchor:
लोकांचा एक गट मरीनासमोर हवाई रॉकेट प्रक्षेपित करतो.
positive:
ते घराबाहेर आहेत.
negative:
ते वाळवंटात आहेत.
Example 3
anchor:
त्यांचा वेग कमी करण्यासाठी आपण ते वाढवू शकतो परंतु ते त्यांना फार काळ थांबवू शकणार नाही.
positive:
ती वाढवून आपण त्यांचा वेग कमी करू शकतो.
negative:
त्यांचा वेग कमी करण्याचा कोणताही मार्ग नाही.
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