L3Cube-MahaSent-MD

L3Cube-MahaSent-MD

MH Specific

L3Cube-MahaSent-MD dataset for language nlp.

Build a Marathi product review sentiment analyzer for e-commerce platforms selling in Maharashtra.
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Quick Start

from datasets import load_dataset
ds = load_dataset('l3cube-pune/MahaSent-md')
for ex in ds['train'][:5]:
    print(f"[{ex['label']}] {ex['sentence'][:80]}...")
Modality
text
Size
60,000 samples across 4 domains
License
Format
CSV
Language
mr
Update Frequency
static
Organization
L3Cube, Pune
Category
language-nlp

Schema

FieldTypeDescription
sentencestringMarathi text sentence
labelstringSentiment label (positive, negative, neutral)
domainstringSource domain (news, social media, reviews, general)

Build With This

Create a real-time sentiment dashboard monitoring Marathi social media conversations about agricultural policies and market conditions
Develop a multi-domain customer feedback classifier that routes Marathi support tickets by sentiment and urgency
Build a brand reputation tracker that scores sentiment across Marathi news, social media, and review sites

AI Use Cases

Sentiment analysis
Last verified: 2026-03-07