- add csv, conll, json filereader
- update dataloader
- remove useless dataloader
- fix trainer loss print
- fix tests

* add ignore_type in DataSet.apply

* 重构dtype的检测代码，在FieldArray的初始化和append两处，达到更好的代码复用
* 类型检测的责任完全落在FieldArray，DataSet与之配合
测试：
* 整理dtype相关的测试代码
* 给所有tutorial添加测试
其他：
* 完善一个完整的Conll dataset loader
* 升级POS tag model训练脚本

* remove conflicts
* all tests passed

* add DataSet.get_field(), to fetch a FieldArray based on its name
* remove old tutorials & add new tutorials

* clean up unused codes

* remove unused codes in metrics.py
* add tests for DataSet
* add tests for FieldArray
* add tests for metrics.py
* fix predictor, add tests for predictor
* fix bucket sampler, add tests for bucket sampler

* DataSet修改__repr__，优化print(datset)的输出
* Instance修改__repr__，优化print的输出
* Optimizer优化传参提示
* Trainer去除kwargs参数
* losses.py加个参数
* 对应test code的修改

* refine interface of set_target & set_input
* rename DataSet.Instance into DataSet.DataSetIter
* remove unused methods in DataSet.DataSetIter
* remove __setattr__ in DataSet; It is dangerous.
* comment adjustment

* refine code style
* set up unit tests for Batch, DataSet, FieldArray
* remove a lot of out-of-date unit tests, to get testing passed

* remove and fix other unit tests
* add more code comments

* rename preprocess.py into utils.py, because nothing about preprocess in it
* anything in loader/ and saver/ is moved directly into io/
* corresponding unit tests are moved to /test/io
* delete fastnlp.py, because we have new and better APIs
* rename Biaffine_parser/run_test.py to Biaffine_parser/main.py; Otherwise, test will fail.
* A looooooooooot of ancient codes to be refined...........

- DataSet's __init__ takes a function as argument, rather than class object
- Preprocessor is about to remove. Don't use anymore.
- Remove cross_validate in trainer, because it is rarely used and wired
- Loader.load is expected to be a static method
- Delete sth. in other_modules.py
- Add more tests
- Delete extra sample data