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support for previewing custom dataset in directory format

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Former-commit-id: 75aa6392e86e965dc4a04b288ec60cff4e83f1af
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codingma 2024-04-16 10:43:14 +08:00
parent 627f281e5b
commit 43d1730aa5
1 changed files with 26 additions and 12 deletions
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38
src/llmtuner/webui/components/data.py
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@ -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"]: