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README.md

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 ## 🧠 Dataset Card: Embedder — Multilingual Triplet Embedding Dataset
 
 ### 📌 Overview
-**Embedder** is a multilingual triplet dataset designed for training and evaluating sentence embedding models using contrastive or triplet loss. It contains 60,000 examples across 11 Indic languages and English, derived from the Samanantar parallel corpus. Each example is structured as a triplet: `(anchor, positive, negative)`.
+**Embedder** is a multilingual triplet dataset designed for training and evaluating sentence embedding models using contrastive or triplet loss. It contains 1m examples across 11 Indic languages and English + 100extra langs, derived from the Samanantar parallel corpus and opus 100. Each example is structured as a triplet: `(anchor, positive, negative)`.
 
 This dataset is ideal for building cross-lingual retrieval systems, semantic search engines, and multilingual embedding models.
 
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 ### 👤 Maintainer
 
 - **Author**: Parvesh Rawal (XenArcAI)
-- **Contact**: [your GitHub or email]
 
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