Updated

canard_quretec.py

@@ -21,7 +21,6 @@ import os
 import datasets
 
 
-# TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
 @inproceedings{Elgohary:Peskov:Boyd-Graber-2019,
@@ -49,8 +48,23 @@ _LICENSE = "CC BY-SA 4.0"
 
 # The HuggingFace dataset library don't host the datasets but only point to the original files
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URL = "https://drive.google.com/drive/folders/1e3s-V6VQqOKHrmn_kBStNsV0gGHPeJVf/"
 _URLs = {
-    'voskarides': "https://drive.google.com/drive/folders/1e3s-V6VQqOKHrmn_kBStNsV0gGHPeJVf",
+    'gold_supervision': {
+        'train': _URL+"train_gold_supervision.json",
+        'dev': _URL+"dev_gold_supervision.json",
+        'test': _URL+"test_gold_supervision.json"
+    },
+    'original_all': {
+        'train': _URL+"train_original_all.json",
+        'dev': _URL+"dev_original_all.json",
+        'test': _URL+"test_original_all.json"
+    },
+    'distant_supervision': {
+        'train': _URL+"train_distant_supervision.json",
+        'dev': _URL+"dev_distant_supervision.json",
+        'test': _URL+"test_distant_supervision.json"
+    }
 }
 
 
@@ -74,7 +88,8 @@ class CanardQuretec(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="gold_supervision", version=VERSION, description="Was used for training quretec with gold supervision"),
-        # datasets.BuilderConfig(name="original_all", version=VERSION, description="Was used for creating dataset statistics"),
+        datasets.BuilderConfig(name="original_all", version=VERSION, description="Was used for creating dataset statistics"),
+        datasets.BuilderConfig(name="distant_supervision", version=VERSION, description="Was used for training quretec with distant supervision"),
     ]
 
     # It's not mandatory to have a default configuration. Just use one if it make sense.
@@ -122,26 +137,26 @@ class CanardQuretec(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
         my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
+        downloaded_files = dl_manager.download_and_extract(my_urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={  # These kwargs will be passed to _generate_examples
-                    "filepath": os.path.join(data_dir, "train_gold_supervision.json"),
+                    "filepath": downloaded_files['train'],
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={  # These kwargs will be passed to _generate_examples
-                    "filepath": os.path.join(data_dir, "test_gold_supervision.json"),
+                    "filepath": downloaded_files['test'],
                     "split": "test"
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={  # These kwargs will be passed to _generate_examples
-                    "filepath": os.path.join(data_dir, "dev_gold_supervision.json"),
+                    "filepath": downloaded_files['dev'],
                     "split": "dev",
                 },
             ),
@@ -155,7 +170,7 @@ class CanardQuretec(datasets.GeneratorBasedBuilder):
         # The `key` is here for legacy reason (tfds) and is not important in itself.
 
         with open(filepath) as f:
-            data = json.load(f)
-            for id_, row in data:
+            data_array = json.load(f)
+            for id_, item_dict in data_array:
                 # if self.config.name == "first_domain":
-                yield id_, row
+                yield id_, item_dict