| # Data for Paper: *Dynamic Vocabularies for Learned Sparse Retrieval with Entities* | |
| This guide explains how to download the data used in our paper. | |
| --- | |
| ## Setup Instructions | |
| 1. **Clone the DyVo repository** | |
| ``` | |
| git clone https://github.com/thongnt99/DyVo | |
| ``` | |
| 2. **Create a data directory inside the project** | |
| ``` | |
| cd DyVo | |
| mkdir dyvo_data | |
| cd dyvo_data | |
| ``` | |
| 3. **Download the data from Hugging Face** | |
| Make sure you have the Hugging Face CLI installed. If not, install it with: | |
| ``` | |
| pip install huggingface_hub | |
| ``` | |
| Then run: | |
| ``` | |
| huggingface-cli download lsr42/dyvo_data | |
| ``` | |
| --- | |
| ## Notes | |
| - You may need to log in to Hugging Face before downloading: | |
| ``` | |
| huggingface-cli login | |
| ``` | |
| - The downloaded files will be stored locally; check the Hugging Face CLI documentation for cache settings if needed. | |
| - It is recommended to use Python 3.7 or later. | |
| --- | |