init

link_prediction_nell_one.py → fewshot_link_prediction.py

@@ -3,8 +3,8 @@ import datasets
 
 
 logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """NELL-One, a few shots link prediction dataset. """
-_NAME = "link_prediction"
+_DESCRIPTION = """Few shots link prediction dataset. """
+_NAME = "fewshot_link_prediction"
 _VERSION = "0.0.0"
 _CITATION = """
 @inproceedings{xiong-etal-2018-one,
@@ -28,14 +28,15 @@ _CITATION = """
 
 _HOME_PAGE = "https://github.com/asahi417/relbert"
 _URL = f'https://huggingface.co/datasets/relbert/{_NAME}/resolve/main/data'
-_URLS = {
-    str(datasets.Split.TRAIN): [f'{_URL}/train.jsonl'],
-    str(datasets.Split.VALIDATION): [f'{_URL}/valid.jsonl'],
-    str(datasets.Split.TEST): [f'{_URL}/test.jsonl']
-}
+_TYPES = ["nell", "wiki"]
+_URLS = {i: {
+    str(datasets.Split.TRAIN): [f'{_URL}/{i}.train.jsonl'],
+    str(datasets.Split.VALIDATION): [f'{_URL}/{i}.valid.jsonl'],
+    str(datasets.Split.TEST): [f'{_URL}/{i}.test.jsonl']
+} for i in _TYPES}
 
 
-class LinkPredictionConfig(datasets.BuilderConfig):
+class FewShotLinkPredictionConfig(datasets.BuilderConfig):
     """BuilderConfig"""
 
     def __init__(self, **kwargs):
@@ -43,18 +44,19 @@ class LinkPredictionConfig(datasets.BuilderConfig):
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
-        super(LinkPredictionConfig, self).__init__(**kwargs)
+        super(FewShotLinkPredictionConfig, self).__init__(**kwargs)
 
 
-class LinkPrediction(datasets.GeneratorBasedBuilder):
+class FewShotLinkPrediction(datasets.GeneratorBasedBuilder):
     """Dataset."""
 
     BUILDER_CONFIGS = [
-        LinkPredictionConfig(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION)
+        FewShotLinkPredictionConfig(name=i, version=datasets.Version(_VERSION), description=_DESCRIPTION)
+        for i in sorted(_TYPES)
     ]
 
     def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS)
+        downloaded_file = dl_manager.download_and_extract(_URLS[self.config.name])
         return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
                 for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]