--- title: ZemResearch emoji: πŸ§ͺ colorFrom: blue colorTo: purple sdk: static pinned: false ---

🧬 Hello from ZemResearch!

Mixing Artificial Intelligence with Chemistry, one dataset at a time.

### πŸ‘‹ Who We Are Welcome to **ZemResearch**! We are an open-source research initiative passionate about bridging the gap between computer science and molecular biology. We believe that training specialized, lightweight Large Language Models (LLMs) shouldn't require massive corporate budgetsβ€”it just needs incredibly clean data and smart engineering. ### 🎯 What We Do * **🧹 Extreme Data Cleaning:** We don't just scrape data; we sterilize it. We heavily rely on tools like RDKit to ensure our molecular datasets obey the fundamental laws of chemistry. * **πŸ€– 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! ### πŸ¦› The Hippo Ecosystem Our datasets are designed to work together, covering the full drug discovery pipeline β€” from raw molecular structure all the way to clinical safety. Each one is independently useful, but together they form a complete picture: **HippoCrates β†’ HippoSynth β†’ HippoTarget β†’ HippoLv β†’ HippoXic** *(what it is β†’ how it's made β†’ what it binds to β†’ how it behaves in the body β†’ whether it's safe)* | Dataset | Focus | Size | |---|---|---| | 🧬 [HippoCrates](https://huggingface.co/datasets/ZemResearch/HippoCrates-1.4M-SMILES-Clean) | Molecular structures & SMILES | 1.46M rows | | βš—οΈ [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 | | πŸ«€ [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. ### πŸš€ 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 β€” 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 Got a cool idea for molecular LLMs, or just want to chat about AI in healthcare? Feel free to explore our datasets, open a discussion in our repositories, or reach out. We are always open to new collaborations!
Stay curious. Keep building. πŸš€