Update README.md

README.md

@@ -21,9 +21,32 @@ Welcome to **ZemResearch**! We are an open-source research initiative passionate
 * **🤖 Lightweight AI Models:** We focus on fine-tuning accessible, efficient LLMs that can run smoothly without needing massive GPU clusters.
 * **🌍 Open Science:** Everything we build is dedicated to the global open-source community. Let's democratize AI drug discovery together!
 
-### 🚀 Our Flagship Project
-* **[HippoCrates](https://huggingface.co/datasets/ZemResearch/HippoCrates):** A massive, heavily sterilized dataset containing 1.46 million molecular structures. It's ready-to-use (in Apache Parquet format) for text-generation and chemical bioactivity fine-tuning.
+### 🦛 The Hippo Ecosystem
+Our datasets are designed to work together, covering the full drug discovery pipeline — from raw molecular structure all the way to clinical safety. Each one is independently useful, but together they form a complete picture:
+
+**HippoCrates → HippoSynth → HippoTarget → HippoLv → HippoXic**
+*(what it is → how it's made → what it binds to → how it behaves in the body → whether it's safe)*
+
+| Dataset | Focus | Size |
+|---|---|---|
+| 🧬 [HippoCrates](https://huggingface.co/datasets/ZemResearch/HippoCrates-1.4M-SMILES-Clean) | Molecular structures & SMILES | 1.46M rows |
+| ⚗️ [HippoSynth](https://huggingface.co/datasets/ZemResearch/HippoSynth) | Chemical reactions & synthesis | 50K rows |
+| 🎯 [HippoTarget](https://huggingface.co/datasets/ZemResearch/HippoTarget) | Drug-target interaction | 15.5K rows |
+| 🫀 [HippoLv](https://huggingface.co/datasets/ZemResearch/HippoLv) | ADMET & drug behavior in the body | 9.4K rows |
+| ☠️ [HippoXic](https://huggingface.co/datasets/ZemResearch/HippoXic) | Toxicology & clinical safety | 10.6K rows |
+
+Every dataset in the ecosystem follows the same curation standard: RDKit-validated, deduplicated, formatted for instruction-tuning (Alpaca style), and compressed with Snappy for a tiny footprint.
+
+### 🚀 Dataset Details
+
+* **[HippoCrates](https://huggingface.co/datasets/ZemResearch/HippoCrates-1.4M-SMILES-Clean):** A massive, heavily sterilized dataset containing 1.46 million molecular structures. It's ready-to-use (in Apache Parquet format) for text-generation and chemical bioactivity fine-tuning.
+
+* **[HippoSynth](https://huggingface.co/datasets/ZemResearch/HippoSynth):** A curated dataset of 50,000 chemical synthesis and reaction examples — covering forward synthesis, retrosynthesis, and lab procedure interpretation. Built from USPTO patent reactions, the Open Reaction Database, and curated chemistry Q&A sources.
+
+* **[HippoTarget](https://huggingface.co/datasets/ZemResearch/HippoTarget):** A drug-target interaction dataset with 15,520 rows, combining real experimental binding data with FDA-approved drug-target pairs. Teaches models which molecules bind to which proteins.
+
 * **[HippoXic](https://huggingface.co/datasets/ZemResearch/HippoXic):** A premium, domain-specific instruction-tuning dataset containing 10,630 highly curated rows focused on chemical toxicology, FDA clinical safety, and real-world side effects. It bridges the gap between molecular structures and clinical bio-safety reasoning.
+
 * **[HippoLv](https://huggingface.co/datasets/ZemResearch/HippoLv):** A hyper-sterilized, feather-light dataset containing 9,465 RDKit-verified rows focused on drug behavior inside the human body (ADMET properties & aqueous solubility). It serves as the ultimate fuel for turning general LLMs into clinical pharmaceutical experts.
 
 ### 🤝 Let's Collaborate