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README.md

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 # Sangraha
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ef3cd11e695b35aa48bebc/nDnyidcqIOLAP9dTw9GrK.png)
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/63ef3cd11e695b35aa48bebc/nDnyidcqIOLAP9dTw9GrK.png" />
+</p>
+
+Sangraha is the largest Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
+
+**Coming Soon**:
+- Sangraha Synthetic
+- Sangraha Verified - Hindi YouTube data
+
+More information:
+
+- Read more about Sangraha [on Arxiv](https://arxiv.org/);
+- Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
+
+## Getting Started
+You can download the dataset using Hugging Face datasets:
+```python
+from datasets import load_dataset
+ds = load_dataset("cerebras/SlimPajama-627B")
+```
+
+## Background
+Sangraha contains three broad components:
+- **Sangraha Verified**: Containing scraped data from "human-verified" Websites, OCR-extracted data from high quality Indic language PDFs, transcribed data from various Indic language videos, podcasts, movies, courses, etc.
+- **Sangraha Unverfied**: High quality Indic language data extracted from existing multilingual corpora employing perplexity filtering using n-gram language models trained on Sangraha Verified.
+- **Sangraha Synthetic**: WikiMedia English translated to 14 Indic languages and further "romanised" from 14 languages by transliteration to English.
+