补充了两个数据集的download

fastNLP/io/file_utils.py

@@ -89,6 +89,7 @@ DATASET_DIR = {
     "mnli": "MNLI.zip",
     "snli": "SNLI.zip",
     "qnli": "QNLI.zip",
+    "xnli": "XNLI.zip",
     "sst-2": "SST-2.zip",
     "sst": "SST.zip",
     "rte": "RTE.zip",
@@ -101,7 +102,8 @@ DATASET_DIR = {
     "cws-as": 'cws_as.zip',
     "cws-msra": 'cws_msra.zip',
 
-    "chn-senti-corp":"chn_senti_corp.zip"
+    "chn-senti-corp" : "chn_senti_corp.zip",
+    "weibo-senti-100k" : "WeiboSenti100k.zip"
 }
 
 PRETRAIN_MAP = {'elmo': PRETRAINED_ELMO_MODEL_DIR,

fastNLP/io/loader/classification.py

@@ -518,3 +518,12 @@ class WeiboSenti100kLoader(Loader):
                 if raw_chars:
                     ds.append(Instance(raw_chars=raw_chars, target=target))
         return ds
+
+    def download(self) -> str:
+        """
+        自动下载数据，该数据取自 https://github.com/SophonPlus/ChineseNlpCorpus/
+        在 https://arxiv.org/abs/1906.08101 有使用
+        :return:
+        """
+        output_dir = self._get_dataset_path('weibo-senti-100k')
+        return output_dir

fastNLP/io/loader/matching.py

@@ -377,6 +377,16 @@ class XNLILoader(Loader):
         data_bundle = DataBundle(datasets=datasets)
         return data_bundle
 
+    def download(self) -> str:
+        """
+        自动下载数据，该数据取自 https://arxiv.org/abs/1809.05053
+        在 https://arxiv.org/pdf/1905.05526.pdf https://arxiv.org/pdf/1901.10125.pdf
+        https://arxiv.org/pdf/1809.05053.pdf 有使用
+        :return:
+        """
+        output_dir = self._get_dataset_path('xnli')
+        return output_dir
+
 
 class BQCorpusLoader(Loader):
     """