diff --git a/benchmark/halumem/quickstart.md b/benchmark/halumem/quickstart.md
index 59dc68fa..4ef30846 100644
--- a/benchmark/halumem/quickstart.md
+++ b/benchmark/halumem/quickstart.md
@@ -14,17 +14,30 @@ conda activate ./reme-env
 pip install .
 ```
 
-### 2. Clone the Repository
+### 2. Download the Dataset
 ```bash
 cd ./benchmark/halumem
-git clone https://github.com/MemTensor/HaluMem.git
+mkdir -p data
+curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
+curl -L "https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
+```
+
+Dataset page:
+https://huggingface.co/datasets/IAAR-Shanghai/HaluMem/tree/main
+
+If the official source is slow or inaccessible in mainland China, you can use a mirror:
+```bash
+cd ./benchmark/halumem
+mkdir -p data
+curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Medium.jsonl?download=true" -o data/HaluMem-Medium.jsonl
+curl -L "https://hf-mirror.com/datasets/IAAR-Shanghai/HaluMem/resolve/main/HaluMem-Long.jsonl?download=true" -o data/HaluMem-Long.jsonl
 ```
 
 ### 3. Run Experiments
 Launch the ReMe service to enable memory library functionality:
 ```bash
 clear && python benchmark/halumem/eval_reme.py \
-    --data_path benchmark/halumem/HaluMem/data/HaluMem-Medium.jsonl \
+    --data_path benchmark/halumem/data/HaluMem-Medium.jsonl \
     --reme_model_name gpt-4o-mini-2024-07-18 \
     --eval_model_name gpt-4o-mini-2024-07-18 \
     --batch_size 40 \