1. Add : MsDataset.delete() , support delete dataset file or dir.

2. Add: upload mode,  MsDataset.upload(xx, upload_mode=UploadMode.FORCE_UPLOAD), or  MsDataset.upload(xx, upload_mode=UploadMode.APPEND_UPLOAD)
     if upload_mode = UploadMode.APPEND_UPLOAD, then skip object in case of this object exists.

3. Add: support reload sts token automatically to avoid expire. (current expiration: 24h)

4. Fix: add cookies in api.py for downloading private datasets.
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10524449

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10491891

1. Fix bugs in daily test
2. Fix a bug that the updating of lr is before the first time of updating of optimizer
    TODO this will still cause warnings when GA is above 1
3. Remove the judgement of mode in text-classification's preprocessor to fit the base trainer(Bug)
     Update some regression bins to fit the preprocessor
4. Update the regression tool to let outer code modify atol and rtol
5. Add the default metric for text-classification task
6. Remove the useless ckpt conversion method in bert to avoid the requirement of tf when loading modeling_bert
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10430764

上传和下载支持多文件操作

1.新增支持原始bert模型（非easynlp的 backbone prefix版本）
2.支持bert的在sequence classification/fill mask /token classification上的backbone head形式
3.统一了sequence classification几个任务的pipeline到一个类
4.fill mask 支持backbone head形式
5.token classification的几个子任务（ner，word seg， part of speech）的preprocessor 统一到了一起TokenClassificationPreprocessor
6. sequence classification的几个子任务（single classification， pair classification）的preprocessor 统一到了一起SequenceClassificationPreprocessor
7. 改动register中 cls的group_key 赋值位置，之前的group_key在多个decorators的情况下，会被覆盖，obj_cls的group_key信息不正确
8. 基于backbone head形式将 原本group_key和 module同名的情况尝试做调整，如下在modelscope/pipelines/nlp/sequence_classification_pipeline.py 中 
原本
 @PIPELINES.register_module(
    Tasks.sentiment_classification, module_name=Pipelines.sentiment_classification)
改成
@PIPELINES.register_module(
    Tasks.text_classification, module_name=Pipelines.sentiment_classification)
相应的configuration.json也有改动，这样的改动更符合任务和pipline（子任务）的关系。
8. 其他相应改动为支持上述功能
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10041463

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10189613

CR link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10109035#tab=changes&file=8348e8153b2f4a6dbd52e471b4980542355408ed

Please refer to aone links:

1. https://aone.alibaba-inc.com/v2/project/1162242/bug#viewIdentifier=b622c099e2199bc034401fbe&openWorkitemIdentifier=44889184

2. https://aone.alibaba-inc.com/v2/project/1162242/bug#viewIdentifier=b622c099e2199bc034401fbe&openWorkitemIdentifier=44858810

3. https://aone.alibaba-inc.com/v2/project/1162242/bug#viewIdentifier=b622c099e2199bc034401fbe&openWorkitemIdentifier=44857728

4. https://aone.alibaba-inc.com/v2/project/1162242/bug#viewIdentifier=b622c099e2199bc034401fbe&openWorkitemIdentifier=44658972

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9872869

* dataset json file add args

* 修复了zip文件不同打包模式下返回路径错误问题。
* 修复了替换了数据集文件重新下载时校验失败问题。
* 修复dataset oss文件在 REUSE 模式下重复下载的问题。
* 修复了csv数据集的meta json文件中某个split的meta和file字段都为''时加载所有split失败的问题。
 * 修复了不同版本datasets路径不一致的问题。

1. MsDataset支持upload数据文件(压缩包)
2. MsDataset支持clone和upload meta data
3. 使用MsDataset.load()下载数据集，支持web端显示数据集下载计数
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9831232

msdataset add coco dataset
unify taskdataset and ms dataset
fix hf datasets

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9552632

* load csv dataset from modelscoop

* fix msdataset
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9436292

    * fix msdataset

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9174075

* fix msdataset

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9165402