Update scripts to use data.zip instead of local data.

DEFT2020.py

@@ -62,9 +62,14 @@ _CITATION = """\
 }
 """
 
-class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
+_URL = "data.zip"
+
+
+class DEFT2020(datasets.GeneratorBasedBuilder):
     """DEFT 2020 - DEFT (DÉfi Fouille de Textes)"""
 
+    DEFAULT_CONFIG_NAME = "task_1"
+
     VERSION = datasets.Version("1.0.0")
 
     BUILDER_CONFIGS = [
@@ -72,15 +77,13 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="task_2", version=VERSION, description="Tâche 2 : identifier les phrases parallèles possible pour une phrase source"),
     ]
 
-    DEFAULT_CONFIG_NAME = "task_1"
-
     def _info(self):
 
         if self.config.name == "default":
             self.config.name = self.DEFAULT_CONFIG_NAME
 
         if self.config.name == "task_1":
-            
+
             return datasets.DatasetInfo(
                 description=_DESCRIPTION,
                 features=datasets.Features(
@@ -98,16 +101,16 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
                 citation=_CITATION,
                 license=_LICENSE,
             )
-        
+
         elif self.config.name == "task_2":
-            
+
             return datasets.DatasetInfo(
                 description=_DESCRIPTION,
                 features=datasets.Features(
                     {
                         "id": datasets.Value("string"),
                         "correct_cible": datasets.features.ClassLabel(
-                            names = ['1', '2', '3'],
+                            names=['1', '2', '3'],
                         ),
                         "source": datasets.Value("string"),
                         "cible_1": datasets.Value("string"),
@@ -124,7 +127,7 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
 
-        data_dir = self.config.data_dir
+        data_dir = dl_manager.download_and_extract(_URL).rstrip("/")
 
         if self.config.name == "task_1":
 
@@ -183,16 +186,16 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
         all_res = []
 
         if self.config.name == "task_1":
-            
+
             ratio = 0.8316
-                        
+
             with open(filepath) as fd:
                 doc = xmltodict.parse(fd.read())
 
             for d in doc["doc"]["paire"]:
 
                 if int(d["@id"]) > -1:
-                
+
                     all_res.append({
                         "id": d["@id"],
                         "vote": d["@vote"],
@@ -203,9 +206,9 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
                     })
 
         elif self.config.name == "task_2":
-            
+
             ratio = 0.8059
-                        
+
             with open(filepath) as fd:
                 doc = xmltodict.parse(fd.read())
 
@@ -222,29 +225,29 @@ class FrenchMedMCQA(datasets.GeneratorBasedBuilder):
 
                 for t in d["cible"]:
                     obj[f"cible_{t['@num']}"] = t["#text"]
-                
+
                 all_res.append(obj)
 
         if split != "test":
-            
+
             ids = [r["id"] for r in all_res]
-    
+
             random.seed(4)
             random.shuffle(ids)
             random.shuffle(ids)
             random.shuffle(ids)
-            
-            train, validation = np.split(ids, [int(len(ids)*ratio)])
-    
+
+            train, validation = np.split(ids, [int(len(ids) * ratio)])
+
             if split == "train":
                 allowed_ids = list(train)
             elif split == "validation":
                 allowed_ids = list(validation)
-            
+
             for r in all_res:
                 if r["id"] in allowed_ids:
                     yield r["id"], r
         else:
-            
+
             for r in all_res:
                 yield r["id"], r

data.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:056fe24f63d5e7ec654fd7e6ca19a2eb1b9ee7db67ef299ea5dd7959a0d2666e
-size 301117
+oid sha256:d4d69417b3e74595ae78ade05a772f338840af016e073a5d75e1042e2b77cb3a
+size 300044

test_dataset.py

@@ -1,9 +0,0 @@
-from datasets import load_dataset
-
-dataset = load_dataset("./DEFT2020.py", data_dir="./DEFT2020_T1-T2/", name="task_1")
-print(dataset)
-print(dataset["test"][0])
-
-dataset = load_dataset("./DEFT2020.py", data_dir="./DEFT2020_T1-T2/", name="task_2")
-print(dataset)
-print(dataset["test"][0])