feat: add challenge sets

.gitattributes

@@ -33,3 +33,13 @@ data/disc_test.tsv filter=lfs diff=lfs merge=lfs -text
 data/test.tsv filter=lfs diff=lfs merge=lfs -text
 data/train.tsv filter=lfs diff=lfs merge=lfs -text
 data/val.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/dial_test_freq_5.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/disc_test_freq_1.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/disc_test_freq_2.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/disc_test_freq_3.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/dial_test_freq_1.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/dial_test_freq_2.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/dial_test_freq_3.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/dial_test_freq_4.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/disc_test.tsv filter=lfs diff=lfs merge=lfs -text
+data/challenge_sets/disc_test_freq_0.tsv filter=lfs diff=lfs merge=lfs -text

conversational_weather.py

@@ -55,10 +55,25 @@ _URLs = {
         'train': 'https://raw.githubusercontent.com/facebookresearch/TreeNLG/master/data/weather/train.tsv',
         'validation': 'https://raw.githubusercontent.com/facebookresearch/TreeNLG/master/data/weather/val.tsv',
         'test': 'https://raw.githubusercontent.com/facebookresearch/TreeNLG/master/data/weather/test.tsv'
+    },
+    'challenge': {
+        'disc_test': './data/challenge_sets/disc_test.tsv',
+        'dial_test_freq': {
+            'dial_test_freq_1': './data/challenge_sets/dial_test_freq_1.tsv',
+            'dial_test_freq_2': './data/challenge_sets/dial_test_freq_2.tsv',
+            'dial_test_freq_3': './data/challenge_sets/dial_test_freq_3.tsv',
+            'dial_test_freq_4': './data/challenge_sets/dial_test_freq_4.tsv',
+            'dial_test_freq_5': './data/challenge_sets/dial_test_freq_5.tsv'
+        },
+        'disc_test_freq': {
+            'disc_test_freq_0': './data/challenge_sets/disc_test_freq_0.tsv',
+            'disc_test_freq_1': './data/challenge_sets/disc_test_freq_1.tsv',
+            'disc_test_freq_2': './data/challenge_sets/disc_test_freq_2.tsv',
+            'disc_test_freq_3': './data/challenge_sets/disc_test_freq_3.tsv'
+        },
     }
 }
 
-
 class ConversationalWeather(datasets.GeneratorBasedBuilder):
     """The Conversational Weather dataset is designed for generation of responses to weather queries 
     based on a structured input data. The input allows specifying data attributes such as dates, times, 
@@ -67,6 +82,13 @@ class ConversationalWeather(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.1.0")
 
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="default", version=VERSION, description="This part of my dataset covers a first domain"),
+        datasets.BuilderConfig(name="challenge", version=VERSION, description="This part of my dataset covers a second domain"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
     def _info(self):
         # This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         features = datasets.Features(
@@ -106,32 +128,66 @@ class ConversationalWeather(datasets.GeneratorBasedBuilder):
 
         my_urls = _URLs[self.config.name]
         data_dir = dl_manager.download_and_extract(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir['train']),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir['test']),
-                    "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']),
-                    "split": "dev",
-                },
-            ),
-        ]
+        if self.config.name is 'challenge':
+            disc_test_freq_data = []
+            for k in range(len(_URLs['challenge']['disc_test_freq'])):
+                disc_test_freq_data.append(
+                    datasets.SplitGenerator(
+                        name=datasets.NamedSplit(f"disc_test_freq_{k}"),
+                        gen_kwargs={
+                            "filepath": os.path.join(data_dir['disc_test_freq'][f'disc_test_freq_{k}']),
+                            "split": f"disc-test-freq-{k}",
+                        },
+                    ))
+
+            dial_test_freq_data = []
+            for k in range(1, len(_URLs['challenge']['dial_test_freq'])+1):
+                dial_test_freq_data.append(
+                    datasets.SplitGenerator(
+                        name=datasets.NamedSplit(f"dial_test_freq_{k}"),
+                        gen_kwargs={
+                            "filepath": os.path.join(data_dir['dial_test_freq'][f'dial_test_freq_{k}']),
+                            "split": f"dial-test-freq-{k}",
+                        },
+                    ))
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.NamedSplit("disc_test"),
+                    gen_kwargs={
+                        "filepath": os.path.join(data_dir['disc_test']),
+                        "split": "disc-test",
+                    },
+                )] + disc_test_freq_data + dial_test_freq_data
+
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": os.path.join(data_dir['train']),
+                        "split": "train",
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": os.path.join(data_dir['test']),
+                        "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']),
+                        "split": "dev",
+                    },
+                ),
+            ]
+
 
     def _generate_examples(
         self, filepath, split  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`

data/challenge_sets/dial_test_freq_1.tsv

@@ -0,0 +1,3 @@
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+size 296303

data/challenge_sets/dial_test_freq_2.tsv

@@ -0,0 +1,3 @@
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+oid sha256:af3b7471015b87af6fb118ff5d97b12c07070cdd6256498105a0f7be060fc4e5
+size 729082

data/challenge_sets/dial_test_freq_3.tsv

@@ -0,0 +1,3 @@
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+size 798326

data/challenge_sets/dial_test_freq_4.tsv

@@ -0,0 +1,3 @@
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+size 450130

data/challenge_sets/dial_test_freq_5.tsv

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+oid sha256:10bf51037283c8322d3aaea64e6b1ba5e3ae6c45ed621e327eabdf791ce6c1b2
+size 91432

data/{disc_test.tsv → challenge_sets/disc_test.tsv}

@@ -1,3 +1,3 @@
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+oid sha256:142608abfb4cae43b760cd7cd5788ce9c599f8c43671ea011a0d16c1dca40b58
+size 240759

data/challenge_sets/disc_test_freq_0.tsv

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+size 1049105

data/challenge_sets/disc_test_freq_1.tsv

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data/challenge_sets/disc_test_freq_2.tsv

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+size 248090

data/challenge_sets/disc_test_freq_3.tsv

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