Upload DiscoEval.py

DiscoEval.py

@@ -18,6 +18,7 @@ import datasets
 import constants
 import pickle
 import logging
+from huggingface_hub import snapshot_download, huggingface_hub
 
 _CITATION = """\
 @InProceedings{mchen-discoeval-19,
@@ -38,10 +39,9 @@ _HOMEPAGE = "https://github.com/ZeweiChu/DiscoEval"
 # TODO: Add link to the official dataset URLs here
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-# _URLS = {
-#     "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
-#     "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
-# }
+_URLS = {
+    "DiscoEval": "https://huggingface.co/.zip",
+}
 
 
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
@@ -180,10 +180,24 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
 
+
         # urls = _URLS[self.config.name]
         # data_dir = dl_manager.download_and_extract(urls)
+
         if self.config.name in [constants.SPARXIV, constants.SPROCSTORY, constants.SPWIKI]:
-            data_dir = os.path.join(constants.SP_DATA_DIR, constants.SP_DIRS[self.config.name])
+            subfolder = os.path.join(constants.SP_DATA_DIR, constants.SP_DIRS[self.config.name])
+            huggingface_hub.hf_hub_url(
+                repo_id="OfekGlick/DiscoEval",
+                filename=constants.SP_TRAIN_NAME,
+                subfolder=subfolder)
+            huggingface_hub.hf_hub_url(
+                repo_id="OfekGlick/DiscoEval",
+                filename=constants.SP_VALID_NAME,
+                subfolder=subfolder)
+            huggingface_hub.hf_hub_url(
+                repo_id="OfekGlick/DiscoEval",
+                filename=constants.SP_TEST_NAME,
+                subfolder=subfolder)
             train_name = constants.SP_TRAIN_NAME
             valid_name = constants.SP_VALID_NAME
             test_name = constants.SP_TEST_NAME
@@ -239,6 +253,9 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
             ),
         ]
 
+
+
+
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.