Update test-cefr.py

test-cefr.py

@@ -19,11 +19,11 @@ _HOMEPAGE = ""
 _LICENSE = ""
 
 
-_URL = "https://huggingface.co/datasets/sebastiaan/test-cefr/blob/main/"
+_URL = "https://huggingface.co/datasets/sebastiaan/test-cefr/resolve/main/"
 _URLS = {
-      "train": _URL + "train_split.csv",
-      "test": _URL + "test_split.csv",
-      "val": _URL + "val_split.csv",
+      "train": _URL + "train_dataset.csv",
+      "test": _URL + "test_dataset.csv",
+      "val": _URL + "val_dataset.csv",
   }
 
 
@@ -65,7 +65,7 @@ class CefrDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train_split.csv"),
+                    "filepath": os.path.join(data_dir, "train_dataset.csv"),
                     "split": "train",
                 },
             ),
@@ -73,7 +73,7 @@ class CefrDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test_split.csv"),
+                    "filepath": os.path.join(data_dir, "test_dataset.csv"),
                     "split": "test"
                 },
             ),
@@ -81,7 +81,111 @@ class CefrDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "val_split.csv"),
+                    "filepath": os.path.join(data_dir, "val_dataset.csv"),
+                    "split": "val",
+                },
+            ),
+        ]
+
+    def _generate_examples(
+        self, filepath, split
+    ):
+        """ Yields examples as (key, example) tuples. """
+
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(
+                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
+            )
+            next(csv_reader, None)
+            for id_, row in enumerate(csv_reader):
+                (prompt, label) = row
+                yield id_, {
+                    "prompt": prompt,
+                    "label": label
+                }import datasets
+import csv
+import os
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {A great new dataset},
+author={huggingface, Inc.
+},
+year={2020}
+}
+"""
+
+# You can copy an official description
+_DESCRIPTION = """\
+This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+"""
+_HOMEPAGE = ""
+_LICENSE = ""
+
+
+_URL = "https://huggingface.co/datasets/sebastiaan/test-cefr/resolve/main/"
+_URLS = {
+      "train": _URL + "train_dataset.csv",
+      "test": _URL + "test_dataset.csv",
+      "val": _URL + "val_dataset.csv",
+  }
+
+
+class CefrDataset(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        features = datasets.Features(
+              {
+                  "prompt": datasets.Value("string"),
+                  "label": datasets.Value("string")
+              }
+          )
+
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URLS
+        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_dataset.csv"),
+                    "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_dataset.csv"),
+                    "split": "test"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "val_dataset.csv"),
                     "split": "val",
                 },
             ),