update to support split version of dataset zips

climate-fever-nli-stsb.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # TODO: Address all TODOs and remove all explanatory comments
-"""TODO: Add a description here."""
+"""Loading script for climate-fever-nli-stsb dataset"""
 
 
 import csv
@@ -48,6 +48,32 @@ _LICENSE = ""
 _URLS = {
 }
 
+_DATAFILES = {
+    'cf-nli': {
+        'zip_path': './cf-nli.zip',
+        'filename': {
+            'train': 'train.tsv',
+            'dev': 'dev.tsv',
+            'test': 'test.tsv'
+        }
+    },
+    'cf-nli-nei': {
+        'zip_path': './cf-nli-nei.zip',
+        'filename': {
+            'train': 'train.tsv',
+            'dev': 'dev.tsv',
+            'test': 'test.tsv'
+        }
+    },
+    'cf-stsb': {
+        'zip_path': './cf-stsb.zip',
+        'filename': {
+            'train': 'train.tsv',
+            'dev': 'dev.tsv',
+            'test': 'test.tsv'
+        }
+    }
+}
 
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 class ClimateFeverNliStsb(datasets.GeneratorBasedBuilder):
@@ -114,14 +140,16 @@ class ClimateFeverNliStsb(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 = _URLS[self.config.name]
-        data_dir = dl_manager.download_and_extract(urls)
+        datapath = _DATAFILES[self.config.name]
+        zipfile = datapath['zip_path']
+        filename = datapath['filename']
+        data_dir = dl_manager.extract(zipfile)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "filepath": os.path.join(data_dir, filename),
                     "split": "train",
                 },
             ),
@@ -129,7 +157,7 @@ class ClimateFeverNliStsb(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "dev.jsonl"),
+                    "filepath": os.path.join(data_dir, filename),
                     "split": "dev",
                 },
             ),
@@ -137,7 +165,7 @@ class ClimateFeverNliStsb(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test.jsonl"),
+                    "filepath": os.path.join(data_dir, filename),
                     "split": "test"
                 },
             ),
@@ -148,18 +176,18 @@ class ClimateFeverNliStsb(datasets.GeneratorBasedBuilder):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                data = json.loads(row)
-                if self.config.name == "first_domain":
+            reader = csv.DictReader(fIn, delimiter='\t', quoting=csv.QUOTE_NONE)
+            for key, row in enumerate(reader):
+                if self.config.name in ("cf-nli", "cf-nli-nei"):
                     # Yields examples as (key, example) tuples
                     yield key, {
-                        "sentence": data["sentence"],
-                        "option1": data["option1"],
-                        "answer": "" if split == "test" else data["answer"],
+                        "sentence1": row["sentence1"],
+                        "sentence2": row["sentence2"],
+                        "label": row["label"],
                     }
-                else:
+                else: # cf-stsb
                     yield key, {
-                        "sentence": data["sentence"],
-                        "option2": data["option2"],
-                        "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
+                        "sentence1": row["sentence1"],
+                        "sentence2": row["sentence2"],
+                        "score": row["score"],
                     }