[to #42339763] move pydataset into maas_lib

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8974892

docs/source/quick_start.md

@@ -101,7 +101,7 @@ import cv2
 import os.path as osp
 from maas_lib.pipelines import pipeline
 from maas_lib.utils.constant import Tasks
-from pydatasets import PyDataset
+from maas_lib.pydatasets import PyDataset
 
 # 使用图像url构建PyDataset，此处也可通过 input_location = '/dir/to/images' 来使用本地文件夹
 input_location = [

maas_lib/pipelines/base.py

@@ -2,14 +2,14 @@
 
 import os.path as osp
 from abc import ABC, abstractmethod
-from typing import Any, Dict, Generator, List, Tuple, Union
+from typing import Any, Dict, Generator, List, Union
 
 from maas_hub.snapshot_download import snapshot_download
-from pydatasets import PyDataset
 
 from maas_lib.models import Model
 from maas_lib.pipelines import util
 from maas_lib.preprocessors import Preprocessor
+from maas_lib.pydatasets import PyDataset
 from maas_lib.utils.config import Config
 from .util import is_model_name
 

maas_lib/pydatasets/py_dataset.py

@@ -11,7 +11,7 @@ logger = get_logger()
 
 class PyDataset:
     _hf_ds = None  # holds the underlying HuggingFace Dataset
-    """A PyDataset backed by hugging face datasets."""
+    """A PyDataset backed by hugging face Dataset."""
 
     def __init__(self, hf_ds: Dataset):
         self._hf_ds = hf_ds
@@ -52,7 +52,7 @@ class PyDataset:
                                    Mapping[str, Union[str,
                                                       Sequence[str]]]]] = None
     ) -> 'PyDataset':
-        """Load a pydataset from the MaaS Hub, Hugging Face Hub, urls, or a local dataset.
+        """Load a PyDataset from the MaaS Hub, Hugging Face Hub, urls, or a local dataset.
             Args:
 
                 path (str): Path or name of the dataset.
@@ -64,7 +64,7 @@ class PyDataset:
                 split (str, optional): Which split of the data to load.
 
             Returns:
-                pydataset (obj:`PyDataset`): PyDataset object for a certain dataset.
+                PyDataset (obj:`PyDataset`): PyDataset object for a certain dataset.
             """
         if isinstance(path, str):
             dataset = load_dataset(

tests/pipelines/test_image_matting.py

@@ -5,10 +5,10 @@ import tempfile
 import unittest
 
 import cv2
-from pydatasets import PyDataset
 
 from maas_lib.fileio import File
 from maas_lib.pipelines import pipeline, util
+from maas_lib.pydatasets import PyDataset
 from maas_lib.utils.constant import Tasks
 
 

tests/pipelines/test_text_classification.py

@@ -1,17 +1,15 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
-import os
 import shutil
 import unittest
 import zipfile
 from pathlib import Path
 
-from pydatasets import PyDataset
-
 from maas_lib.fileio import File
 from maas_lib.models import Model
 from maas_lib.models.nlp import BertForSequenceClassification
 from maas_lib.pipelines import SequenceClassificationPipeline, pipeline, util
 from maas_lib.preprocessors import SequenceClassificationPreprocessor
+from maas_lib.pydatasets import PyDataset
 from maas_lib.utils.constant import Tasks
 
 

tests/pydatasets/test_py_dataset.py

@@ -1,13 +1,14 @@
 import unittest
 
 import datasets as hfdata
-from pydatasets import PyDataset
+
+from maas_lib.pydatasets import PyDataset
 
 
 class PyDatasetTest(unittest.TestCase):
 
     def setUp(self):
-        # ds1 initiazed from in memory json
+        # ds1 initialized from in memory json
         self.json_data = {
             'dummy': [{
                 'a': i,