Update README.md

README.md

@@ -13,20 +13,44 @@ This repository contains the `metadata`, `processed_data` and `papers` for the *
 
 **AirQA** is a human-annotated multi-modal multitask **A**rtificial **I**ntelligence **R**esearch **Q**uestion **A**nswering dataset, which encompasses 1,246 examples and 13,956 papers, aiming at evaluating an agent’s research capabilities in realistic scenarios. It is the first dataset that encompasses multiple question types, also the first to bring function-based evaluation into QA domain, enabling convenient and systematic assessment of research capabilities.
 
+## 🔍 Quick Start
+
+Load the AirQA dataset in one line using Hugging Face `datasets`:
+
+```py
+from datasets import load_dataset
+
+dataset = load_dataset("OpenDFM/AirQA")
+```
+
+⚠️ **Important Compatibility Note**: This dataset uses the legacy `scripts` feature from early `datasets` versions. Loading may require `datasets<4.0` or encounter limitations with newer library versions.
+
+For complete usage guides, including data format and evaluation scripts, please refer to [our official repository](https://github.com/OpenDFM/AirQA).
+
 ## 📂 Folder Structure
 
 ```txt
-metadata/
-|── a0008a3c-743d-5589-bea2-0f4aad710e50.json
-└── ... # more metadata dicts
-papers/
-|── acl2023/
-|   |── 001ab93b-7665-5d56-a28e-eac95d2a9d7e.pdf
-|   └── ... # more .pdf published in ACL 2023
-└── ... # other sub-folders of paper collections
-processed_data/
-|── a0008a3c-743d-5589-bea2-0f4aad710e50.json # cached data for PDF parsing
-└── ... # more cached data for PDFs
+AirQA
+|── data/
+|   |── test_data.jsonl # main test dataset
+|   └── uuid2title.json # mapping from paper UUID to title
+|── metadata/
+|   |── 000ab6db-4b65-5dc0-8393-fbc2c05843c8.json
+|   └── ... # more metadata dicts
+|── papers/
+|   |── acl2016/
+|   |   └── 16c3a7ad-d638-5ebf-a72a-bd58f06c16d7.pdf
+|   |── acl2019/
+|   |   └── c7563d97-695f-5c77-8021-334bf2ff9ddb.pdf
+|   |── acl2023/
+|   |   |── 001ab93b-7665-5d56-a28e-eac95d2a9d7e.pdf
+|   |   └── ... # more .pdf published in ACL 2023
+|   └── ... # other sub-folders of paper collections
+|── processed_data/
+|   |── 000ab6db-4b65-5dc0-8393-fbc2c05843c8.json # cached data for PDF parsing
+|   └── ... # more cached data for PDFs
+|── AirQA.py
+└── README.md
 ```
 
 Due to Hugging Face's limit on the number of files in a single folder, we packaged `metadata` and `processed_data` into archives.