Hugging Face's logo

Datasets:
Singhchandann
/
specter_marathi

Tasks:
Text Classification
Text Retrieval
Sentence Similarity
Languages:
Marathi
Size:
100K<n<1M
Tags:
marathi
translation
text-classification
semantic-search
nlp
ai
DOI:
License:
Dataset card Files
xet
Community
specter_marathi / README.md
Singhchandann's picture
Singhchandann
Upload dataset
b08c3f3 verified
preview code
|
raw
history blame contribute delete
5.97 kB
metadata
tags:
  - marathi
  - translation
  - text-classification
  - semantic-search
  - nlp
  - ai
  - deep-learning
  - language-models
  - text-processing
  - multilingual
  - huggingface-dataset
  - dataset
language:
  - mr
license: cc-by-nc-nd-4.0
task_categories:
  - text-classification
  - text-retrieval
  - sentence-similarity
  - token-classification
  - question-answering
  - zero-shot-classification
  - summarization
  - text-generation
  - multiple-choice
  - document-question-answering
size_categories:
  - 100K<n<1M
pretty_name: Specter Marathi Dataset
dataset_info:
  features:
    - name: anchor
      dtype: string
    - name: positive
      dtype: string
    - name: negative
      dtype: string
  splits:
    - name: train
      num_bytes: 393484095
      num_examples: 684098
  download_size: 97559561
  dataset_size: 393484095
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Specter Marathi Dataset: High-Quality Marathi NLP Corpus

📌 Overview

The Specter Marathi dataset is a meticulously curated collection of 684098 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: 684098
  • Columns: anchor, positive, negative
  • Size: 375.26 MB (0.37 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/specter_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:
काल माझा कार्यक्रम यशस्वी झाला. आज नाही. का?

positive:
शब्दार्थ मार्गदर्शित प्रतिगमन चाचणी खर्चात कपात

negative:
गैरहजेरीच्या जप्तीमध्ये चेतनेची उपस्थिती

Example 2 

anchor:
नैसर्गिक वातावरणातील कार्यात्मक नियर-इन्फ्रारेड स्पेक्ट्रोस्कोपी मोजमापांचा आढावा

positive:
प्रत्यक्ष डोळ्यांच्या संपर्कात असताना मेंदूच्या आत आणि त्यापलीकडे फ्रंटल टेम्पोरल आणि पॅरिएटल प्रणाली समक्रमित होतात.

negative:
एपिलेप्सीसाठी कॅनाबिनॉइड्सः आपल्याला काय माहित आहे आणि आपण कुठे जातो?

Example 3 

anchor:
द मीडिया फ्रेम्स कॉर्पसः सर्व समस्यांच्या चौकटीवरील टिप्पण्या

positive:
रचनेचा सिद्धांत

negative:
आमोंग नायजेरियन प्रौढांच्या सल्लामसलतीसाठीच्या धोरणांचा गैरवापर करा