Update README.md

README.md

@@ -68,14 +68,48 @@ Each JSON sample (one file per scene) contains the following core fields:
 
 ## Usage
 
+### Recommended: Batch Download (Official HF Method)
 ```python
-from datasets import load_dataset
+from huggingface_hub import snapshot_download
 
-# Load full dataset
-ds = load_dataset("ESI-Bench/esi-bench")
+snapshot_download(
+    repo_id="ESI-Bench/esi-bench",
+    repo_type="dataset",
+    local_dir="./esi-bench"
+)
+```
+
+### Load a Specific Task Index
+```python
+from huggingface_hub import hf_hub_download
+import json
+
+path = hf_hub_download(
+    repo_id="ESI-Bench/esi-bench",
+    filename="data/Action Sequencing.json",
+    repo_type="dataset"
+)
+with open(path) as f:
+    index = json.load(f)
+
+# index["json_paths"] contains relative paths to all samples in this category
+print(index["json_paths"][:5])
+```
+
+### Load a Single Sample
+```python
+from huggingface_hub import hf_hub_download
+import json
+
+path = hf_hub_download(
+    repo_id="ESI-Bench/esi-bench",
+    filename="data/Action Sequencing/Action Order Inference/Beechwood_0_garden/kitchen_0/Beechwood_0_garden__kitchen_0.json",
+    repo_type="dataset"
+)
+with open(path) as f:
+    sample = json.load(f)
 
-# Or load a specific task category index
-import json, requests
-url = "https://huggingface.co/datasets/ESI-Bench/esi-bench/resolve/main/data/Action Sequencing.json"
-data = requests.get(url).json()
+print(sample["task"])   # action_order_inference
+print(sample["scene"])  # Beechwood_0_garden
+print(sample["qa"]["question"])
 ```