add TC/MTL16Loader

reproduction/text_classification/data/MTL16Loader.py

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+from fastNLP.io.embed_loader import EmbeddingOption, EmbedLoader
+from fastNLP.core.vocabulary import VocabularyOption
+from fastNLP.io.base_loader import DataSetLoader, DataInfo
+from typing import Union, Dict, List, Iterator
+from fastNLP import DataSet
+from fastNLP import Instance
+from fastNLP import Vocabulary
+from fastNLP import Const
+from reproduction.utils import check_dataloader_paths
+from functools import partial
+
+class MTL16Loader(DataSetLoader):
+    """
+    读取MTL16数据集，DataSet包含以下fields:
+
+        words: list(str), 需要分类的文本
+        target: str, 文本的标签
+
+    数据来源：https://pan.baidu.com/s/1c2L6vdA
+
+    """
+
+    def __init__(self):
+        super(MTL16Loader, self).__init__()
+
+    def _load(self, path):
+        dataset = DataSet()
+        with open(path, 'r', encoding="utf-8") as f:
+            for line in f:
+                line = line.strip()
+                if not line:
+                    continue
+                parts = line.split('\t')
+                target = parts[0]
+                words = parts[1].split()
+                dataset.append(Instance(words=words, target=target))
+        if len(dataset)==0:
+            raise RuntimeError(f"{path} has no valid data.")
+
+        return dataset
+    
+    def process(self,
+                paths: Union[str, Dict[str, str]],
+                src_vocab_opt: VocabularyOption = None,
+                tgt_vocab_opt: VocabularyOption = None,
+                src_embed_opt: EmbeddingOption = None):
+        
+        paths = check_dataloader_paths(paths)
+        datasets = {}
+        info = DataInfo()
+        for name, path in paths.items():
+            dataset = self.load(path)
+            datasets[name] = dataset
+
+        src_vocab = Vocabulary() if src_vocab_opt is None else Vocabulary(**src_vocab_opt)
+        src_vocab.from_dataset(datasets['train'], field_name='words')
+        src_vocab.index_dataset(*datasets.values(), field_name='words')
+
+        tgt_vocab = Vocabulary(unknown=None, padding=None) \
+            if tgt_vocab_opt is None else Vocabulary(**tgt_vocab_opt)
+        tgt_vocab.from_dataset(datasets['train'], field_name='target')
+        tgt_vocab.index_dataset(*datasets.values(), field_name='target')
+
+        info.vocabs = {
+            "words": src_vocab,
+            "target": tgt_vocab
+        }
+
+        info.datasets = datasets
+
+        if src_embed_opt is not None:
+            embed = EmbedLoader.load_with_vocab(**src_embed_opt, vocab=src_vocab)
+            info.embeddings['words'] = embed
+
+        return info

reproduction/text_classification/test/sample_MTL16.txt

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+1	the only thing better than these sunglasses is the customer service i got , after i dropped and broke the lenses on these i called 80 's purple and they actually sent me out a replacement free of charge . i was blown away
+0	this light worked for one day . i should have known better because in the past , i bought a tap light , and it worked for only a few days , too . do n't waste your money
+1	i 've tried 6 different nursing bras . this one , with the center snap closure , is the easiest to use . it is also the lightest and most comfortable , while providing good support . my only complaint is that after about 50 washes the underwire begins to poke free from the fabric . even when i try to sew it back into place , it breaks loose after a few washes . perhaps if i handwashed the bra instead of using a machine , it would last longer . this bra is less durabe than my other nursing bras ( particularly the leading lady bra , which seems to be indestructible ) , but it is well worth the sacrifice for comfort , lightness , and ease of use . it is by far my favorite
+0	i have had my bag for a couple of months . the liner on the inside has already ripped
+0	the photo is quite deceiving . this suit is made out of cheap polyester fabric that looks cheap , shiny , and is horrible to the touch . my three year olds hate the uncomfortable stiffness . spend the extra money for a decent fabric that is actually practical for a toddler if they really need a suit
+1	i had bought a bra of this model at a discount store , just got lucky . it quickly became my favorite , and i was glad to find it at amazon .
+0	lookslike it would be a nice product , but it 's only for very small babies up to 12 pounds and 23 inches . my baby is very long and just does n't fit - wish target/amazon would have been more upfront with the sizing
+0	i purchased the non-premium kit ( $ 9.99 ) with a silicone skin case cover and 2 screen protectors ( one for each screen ) , but it is the same case . the problem is that the silicone skin cover is slippery , twice as slippery as the nintendo lite without the cover . we thought that washing them in dove dish soap would wash away the slipperyness , but that did n't work . after handling the cover , your hands have a slippery residue on them . the other issue is that the cover is so thin that it is little more than scratch protection , not impact protection . the screen covers that come with the non-premium kit are ok , i guess , but one of them had 2 defect particles that were raised ( trust me , the screen was clean ) . i purchased 2 kits , and i had one screen protector defect and my wife accidentally broke one of the silicone covers hinge straps with little effort . i do not recommend this product at all
+1	good quality jeans at an affordable price . size is just right , quite comfortable
+0	not the best fabric , scratchy and see thru . you get what you pay for on these

reproduction/text_classification/test/test_MTL16Loader.py

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+import unittest
+from reproduction.text_classification.data.MTL16Loader import MTL16Loader
+
+
+class TestDataLoader(unittest.TestCase):
+    def test_MTL16Loader(self):
+        loader = MTL16Loader()
+        data = loader.process('sample_MTL16.txt')
+        print(data.datasets)
+