support for previewing custom dataset in directory format

src/llmtuner/webui/components/data.py

@@ -28,30 +28,44 @@ def can_preview(dataset_dir: str, dataset: list) -> "gr.Button":
             dataset_info = json.load(f)
     except Exception:
         return gr.Button(interactive=False)
-
+    
+    local_path = os.path.join(dataset_dir, dataset_info[dataset[0]]["file_name"])
     if (
-        len(dataset) > 0
-        and "file_name" in dataset_info[dataset[0]]
-        and os.path.isfile(os.path.join(dataset_dir, dataset_info[dataset[0]]["file_name"]))
+            len(dataset) > 0
+            and "file_name" in dataset_info[dataset[0]]
+            and (os.path.isfile(local_path)
+                 or (os.path.isdir(local_path)) and len(os.listdir(local_path)) != 0)
     ):
         return gr.Button(interactive=True)
     else:
         return gr.Button(interactive=False)
 
 
+def load_single_data(data_file_path):
+    with open(os.path.join(data_file_path), "r", encoding="utf-8") as f:
+        if data_file_path.endswith(".json"):
+            data = json.load(f)
+        elif data_file_path.endswith(".jsonl"):
+            data = [json.loads(line) for line in f]
+        else:
+            data = [line for line in f]  # noqa: C416
+        return data
+
+
 def get_preview(dataset_dir: str, dataset: list, page_index: int) -> Tuple[int, list, "gr.Column"]:
     with open(os.path.join(dataset_dir, DATA_CONFIG), "r", encoding="utf-8") as f:
         dataset_info = json.load(f)
 
     data_file: str = dataset_info[dataset[0]]["file_name"]
-    with open(os.path.join(dataset_dir, data_file), "r", encoding="utf-8") as f:
-        if data_file.endswith(".json"):
-            data = json.load(f)
-        elif data_file.endswith(".jsonl"):
-            data = [json.loads(line) for line in f]
-        else:
-            data = [line for line in f]  # noqa: C416
-    return len(data), data[PAGE_SIZE * page_index : PAGE_SIZE * (page_index + 1)], gr.Column(visible=True)
+    local_path = os.path.join(dataset_dir, data_file)
+    if os.path.isdir(local_path):
+        data = []
+        for file_name in os.listdir(local_path):
+            data.extend(load_single_data(os.path.join(local_path, file_name)))
+    else:
+        data = load_single_data(local_path)
+
+    return len(data), data[PAGE_SIZE * page_index: PAGE_SIZE * (page_index + 1)], gr.Column(visible=True)
 
 
 def create_preview_box(dataset_dir: "gr.Textbox", dataset: "gr.Dropdown") -> Dict[str, "Component"]: