.

Taskmaster.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""TODO: Add a description here."""
+"""A movie ticketing dialog dataset with 23,789 annotated conversations.."""
 
 
 import csv
@@ -36,12 +36,18 @@ _CITATION = """\
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-The Taskmaster-3 (aka TicketTalk) dataset consists of 23,789 movie ticketing dialogs (located in Taskmaster/TM-3-2020/data/). By "movie ticketing" we mean conversations where the customer's goal is to purchase tickets after deciding on theater, time, movie name, number of tickets, and date, or opt out of the transaction.
-The columns are gem_id, 0, 1 for serial numbering, 2 for the text dialog and id for the default id by the authors.
+The Taskmaster-3 (aka TicketTalk) dataset consists of 23,789 movie ticketing dialogs
+(located in Taskmaster/TM-3-2020/data/). By "movie ticketing" we mean conversations
+where the customer's goal is to purchase tickets after deciding on theater, time,
+movie name, number of tickets, and date, or opt out of the transaction.
+The columns are gem_id, 0, 1 for serial numbering, 2 for the text dialog and id
+for the default id by the authors.
 """
 
 # TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020"
+_HOMEPAGE = (
+    "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020"
+)
 
 # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "CC BY 4.0"
@@ -73,7 +79,6 @@ class Taskmaster(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("3.0.0")
 
-
     # If you need to make complex sub-parts in the datasets with configurable options
     # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
     # BUILDER_CONFIG_CLASS = MyBuilderConfig
@@ -88,7 +93,7 @@ class Taskmaster(datasets.GeneratorBasedBuilder):
     #     datasets.TaskmasterConfig(name="test", version=VERSION, description="test set"),
     # ]
 
-    #DEFAULT_CONFIG_NAME = "TaskmasterConfig"  # It's not mandatory to have a default configuration. Just use one if it makes sense.
+    # DEFAULT_CONFIG_NAME = "TaskmasterConfig"  # It's not mandatory to have a default configuration. Just use one if it makes sense.
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
@@ -134,23 +139,22 @@ class Taskmaster(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
         # 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 = { "train": "train.csv", "test": "test.csv", "validation": "dev.csv", }
-        my_urls = { "train": "train.csv", "test": "test.csv", "validation": "dev.csv",} #_URLs[self.config.name]
+        # _URLs = { "train": "train.csv", "test": "test.csv", "validation": "dev.csv", }
+        my_urls = {
+            "train": "train.csv",
+            "test": "test.csv",
+            "validation": "dev.csv",
+        }  # _URLs[self.config.name]
         data_dir = dl_manager.download_and_extract(my_urls)
-        challenge_sets = [
-            # ("challenge_%s_nov_%s" % (split,lvl),"%s-%s_nv2_%s.jsonl" % (split,self.config.name,lvl)) \
-            #     for split in ["train","valid","test"] for lvl in ["low","mid","high"]
-            ("challenge_%s_nov_%s" % (split,lvl),"%s-%s_nv2_%s.csv" % (split,self.config.name,lvl)) \
-                for split in ["train","valid","test"] for lvl in ["low","mid","high"]
-        ]
-        # + ...
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir["train"], "train-%s.csv"), # % (self.config.name)),
+                    "filepath": os.path.join(
+                        data_dir["train"], "train-%s.csv"
+                    ),  # % (self.config.name)),
                     "split": "train",
                 },
             ),
@@ -158,38 +162,35 @@ class Taskmaster(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir["test"], "test-%s.csv"), # % (self.config.name)),
-                    "split": "test"
+                    "filepath": os.path.join(
+                        data_dir["test"], "test-%s.csv"
+                    ),  # % (self.config.name)),
+                    "split": "test",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir["validation"], "valid-%s.csv"), # % (self.config.name)),
+                    "filepath": os.path.join(
+                        data_dir["validation"], "valid-%s.csv"
+                    ),  # % (self.config.name)),
                     "split": "dev",
                 },
             ),
-        ] + [
-                datasets.SplitGenerator(
-                    name=challenge_split,
-                    gen_kwargs={
-                        "filepath": os.path.join(data_dir[challenge_split], filename),
-                        "split": challenge_split,
-                    },
-                )
-                for challenge_split, filename in challenge_sets
-            ]
+        ]
 
     def _generate_examples(
-        self, filepath, split  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+        self,
+        filepath,
+        split,  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     ):
-        """ Yields examples as (key, example) tuples. """
+        """Yields examples as (key, example) tuples."""
         # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is here for legacy reason (tfds) and is not important in itself.
 
         with open(filepath, encoding="utf-8") as f:
             for row in f:
                 data = csv.loads(row)
-                data["gem_id"] = "GEM-TASKMASTER-%s-%d" % (split,data["id"]+1)
-                yield data["id"],data
+                data["gem_id"] = "GEM-TASKMASTER-%s-%d" % (split, data["id"] + 1)
+                yield data["id"], data