Update README.md

README.md

@@ -1,3 +1,53 @@
 ---
 license: apache-2.0
+datasets:
+- ai2lumos/lumos_complex_qa_ground_onetime
+language:
+- en
+tags:
+- language-agent
+- question-answering
+- reasoning
+- grounding
 ---
+
+# 🪄 Lumos: Language Agents with Unified Formats, Modular Design, and Open-Source LLMs
+<p align="center">
+  🌐<a href="https://allenai.github.io/lumos">[Website]</a> &nbsp;
+  📝<a href="">[Paper]</a> &nbsp;
+  🤗<a href="https://huggingface.co/datasets?sort=trending&search=ai2lumos">[Data]</a> &nbsp;
+  🤗<a href="https://huggingface.co/models?sort=trending&search=ai2lumos">[Model]</a> &nbsp;
+</p>
+
+We introduce 🪄**Lumos**, Language Agents with **Unified** Formats, **Modular** Design, and **Open-Source** LLMs. **Lumos** unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. 
+
+**Lumos** has following features:
+* 🧩 **Modular Architecture**:
+  - **Lumos** consists of planning, grounding, and execution modules built based on LLAMA-2-7B.
+* 🌍 **Diverse Training Data**:
+  - **Lumos** is trained with ~40K high-quality annotations from ground-truth reasoning steps in existing benchmarks with GPT-4. 
+* 🚀 **Competitive Performance**:
+  - 🚀 **Lumos** outperforms **GPT-4/3.5-based** agents on complex QA and web agent tasks, and **larger open agents** on maths tasks.
+  - 🚀 **Lumos** performs better than open agent baseline formulations including **chain-of-thoughts** and **unmodularized** training.
+  - 🚀 **Lumos** surpasses larger open LLM agents and domain-specific agents on an unseen task, WebShop.
+
+## Model Overview
+`lumos_complex_qa_ground_onetime` is a **grounding** module checkpoint finetuned on **complex QA** task in **Lumos-Onetime (Lumos-O)** formulation. 
+
+The training annotation is shown below:
+
+| Training Data | Number |
+|---|---|
+|[`lumos_complex_qa_ground_onetime`](https://huggingface.co/datasets/ai2lumos/lumos_complex_qa_ground_onetime)|19409|
+
+
+## Citation
+
+If you find this work is relevant with your research, please feel free to cite our work!
+```
+@article{yin2023lumos,
+  title={Lumos: Towards Language Agents that are Unified, Modular, and Open Source},
+  author={Yin, Da and Brahman, Faeze and Ravichander, Abhilasha and Chandu, Khyathi and Chang, Kai-Wei and Choi, Yejin and Lin, Bill Yuchen},
+  year={2023}
+}
+```