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

CAS.py

@@ -59,17 +59,24 @@ _HOMEPAGE = "https://clementdalloux.fr/?page_id=28"
 
 _LICENSE = 'Data User Agreement'
 
+_URL = "data.zip"
+
+
 class CAS(datasets.GeneratorBasedBuilder):
 
-    DEFAULT_CONFIG_NAME = "pos_spec"
+    DEFAULT_CONFIG_NAME = "pos"
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="pos", version="1.0.0", description="The CAS corpora - POS Speculation task"),
+        datasets.BuilderConfig(name="pos", version="1.0.0",
+                               description="The CAS corpora - POS Speculation task"),
 
-        datasets.BuilderConfig(name="cls", version="1.0.0", description="The CAS corpora - CLS Negation / Speculation task"),
+        datasets.BuilderConfig(name="cls", version="1.0.0",
+                               description="The CAS corpora - CLS Negation / Speculation task"),
 
-        datasets.BuilderConfig(name="ner_spec", version="1.0.0", description="The CAS corpora - NER Speculation task"),
-        datasets.BuilderConfig(name="ner_neg", version="1.0.0", description="The CAS corpora - NER Negation task"),
+        datasets.BuilderConfig(name="ner_spec", version="1.0.0",
+                               description="The CAS corpora - NER Speculation task"),
+        datasets.BuilderConfig(name="ner_neg", version="1.0.0",
+                               description="The CAS corpora - NER Negation task"),
     ]
 
     def _info(self):
@@ -82,13 +89,20 @@ class CAS(datasets.GeneratorBasedBuilder):
                     "document_id": datasets.Value("string"),
                     "tokens": [datasets.Value("string")],
                     "lemmas": [datasets.Value("string")],
-                    # "pos_tags": [datasets.Value("string")],
                     "pos_tags": [datasets.features.ClassLabel(
-                        names = ['B-INT', 'B-PRO:DEM', 'B-VER:impf', 'B-VER:ppre', 'B-PRP:det', 'B-KON', 'B-VER:pper', 'B-PRP', 'B-PRO:IND', 'B-VER:simp', 'B-VER:con', 'B-SENT', 'B-VER:futu', 'B-PRO:PER', 'B-VER:infi', 'B-ADJ', 'B-NAM', 'B-NUM', 'B-PUN:cit', 'B-PRO:REL', 'B-VER:subi', 'B-ABR', 'B-NOM', 'B-VER:pres', 'B-DET:ART', 'B-VER:cond', 'B-VER:subp', 'B-DET:POS', 'B-ADV', 'B-SYM', 'B-PUN'],
+                        names=[
+                            'B-ABR', 'B-ADJ', 'B-ADV', 'B-DET:ART', 'B-DET:POS', 'B-INT',
+                            'B-KON', 'B-NAM', 'B-NOM', 'B-NUM',
+                            'B-PRO:DEM', 'B-PRO:IND', 'B-PRO:PER',
+                            'B-PRO:REL', 'B-PRP', 'B-PRP:det', 'B-PUN', 'B-PUN:cit',
+                            'B-SENT', 'B-SYM', 'B-VER:con', 'B-VER:cond', 'B-VER:futu',
+                            'B-VER:impf', 'B-VER:infi', 'B-VER:pper', 'B-VER:ppre',
+                            'B-VER:pres', 'B-VER:simp', 'B-VER:subi', 'B-VER:subp'
+                        ],
                     )],
                 }
             )
-        
+
         elif self.config.name.find("cls") != -1:
 
             features = datasets.Features(
@@ -96,13 +110,12 @@ class CAS(datasets.GeneratorBasedBuilder):
                     "id": datasets.Value("string"),
                     "document_id": datasets.Value("string"),
                     "tokens": [datasets.Value("string")],
-                    # "label": datasets.Value("string"),
                     "label": datasets.features.ClassLabel(
-                        names = ['negation_speculation', 'speculation', 'neutral', 'negation'],
+                        names=['negation_speculation', 'negation', 'neutral', 'speculation'],
                     ),
                 }
             )
-        
+
         elif self.config.name.find("ner") != -1:
 
             if self.config.name.find("_spec") != -1:
@@ -116,9 +129,8 @@ class CAS(datasets.GeneratorBasedBuilder):
                     "document_id": datasets.Value("string"),
                     "tokens": [datasets.Value("string")],
                     "lemmas": [datasets.Value("string")],
-                    # "ner_tags": [datasets.Value("string")],
                     "ner_tags": [datasets.features.ClassLabel(
-                        names = names,
+                        names=names,
                     )],
                 }
             )
@@ -134,12 +146,8 @@ class CAS(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
 
-        if self.config.data_dir is None:
-            raise ValueError("This is a local dataset. Please pass the data_dir kwarg to load_dataset.")
-        
-        else:
-            data_dir = self.config.data_dir
-            
+        data_dir = dl_manager.download_and_extract(_URL).rstrip("/")
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -203,7 +211,7 @@ class CAS(datasets.GeneratorBasedBuilder):
                         id_doc, id_word, word, lemma, tag = splitted[0:5]
                         if len(splitted) >= 8:
                             tag = splitted[6]
-                        
+
                         if tag == "@card@":
                             print(splitted)
 
@@ -224,13 +232,13 @@ class CAS(datasets.GeneratorBasedBuilder):
                         id_words.append(id_word)
                         words.append(word)
                         lemmas.append(lemma)
-                        POS_tags.append('B-'+tag)
+                        POS_tags.append(f'B-{tag}')
 
                 dic = {
-                    "id_docs":  np.array(list(map(int, id_docs))),
+                    "id_docs": np.array(list(map(int, id_docs))),
                     "id_words": id_words,
-                    "words":    words,
-                    "lemmas":   lemmas,
+                    "words": words,
+                    "lemmas": lemmas,
                     "POS_tags": POS_tags,
                 }
 
@@ -270,7 +278,7 @@ class CAS(datasets.GeneratorBasedBuilder):
                             continue
 
                         id_doc, id_word, word, lemma, _ = line.split("\t")[0:5]
-                        tag = line.replace("\n","").split("\t")[-1]
+                        tag = line.replace("\n", "").split("\t")[-1]
 
                         if tag == "***" or tag == "_":
                             tag = "O"
@@ -288,10 +296,10 @@ class CAS(datasets.GeneratorBasedBuilder):
                         ner_tags.append(tag)
 
                 dic = {
-                    "id_docs":  np.array(list(map(int, id_docs))),
+                    "id_docs": np.array(list(map(int, id_docs))),
                     "id_words": id_words,
-                    "words":    words,
-                    "lemmas":   lemmas,
+                    "words": words,
+                    "lemmas": lemmas,
                     "ner_tags": ner_tags,
                 }
 
@@ -384,4 +392,4 @@ class CAS(datasets.GeneratorBasedBuilder):
 
         for r in all_res:
             if r["id"] in allowed_ids:
-                yield r["id"], r
+                yield r["id"], r

data.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:058040313dc91432d8d9b6985cdf112d466634e3956b5f7f1326e83eb0ee11a9
-size 1185006
+oid sha256:fbf074c8034354f28d9909ac6f6339acb5d4e556dadca5cbe6e19fb0a85e7696
+size 1183523