Got it working

canard_quretec.py

@@ -12,12 +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.
-
-
-import csv
 import json
-import os
-
 import datasets
 
 
@@ -48,7 +43,7 @@ _LICENSE = "CC BY-SA 4.0"
 
 # The HuggingFace dataset library don't host the datasets but only point to the original files
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URL = "https://drive.google.com/drive/folders/1e3s-V6VQqOKHrmn_kBStNsV0gGHPeJVf/"
+_URL = "https://huggingface.co/datasets/uva-irlab/canard_quretec/resolve/main/"
 _URLs = {
     'gold_supervision': {
         'train': _URL+"train_gold_supervision.json",
@@ -108,7 +103,7 @@ class CanardQuretec(datasets.GeneratorBasedBuilder):
                 "overlapping_terms": datasets.features.Sequence(feature=datasets.Value('string')),
                 "answer_text_with_window": datasets.Value("string"),
                 "answer_text": datasets.Value("string"),
-                "bert_ner_overlap": datasets.Array2D(shape=(2,), dtype="string")
+                "bert_ner_overlap": datasets.features.Sequence(feature=datasets.features.Sequence(feature=datasets.Value('string')))
             }
         )
         return datasets.DatasetInfo(
@@ -168,7 +163,6 @@ class CanardQuretec(datasets.GeneratorBasedBuilder):
         """ 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) as f:
             data_array = json.load(f)
             for id_, item_dict in data_array:

test.py

@@ -0,0 +1,2 @@
+from datasets import load_dataset
+dataset = load_dataset('canard_quretec.py')