Update phrase_similarity.py

phrase_similarity.py

@@ -27,22 +27,28 @@ logger = datasets.logging.get_logger(__name__)
 
 
 _CITATION = """\
-
+@article{pham2022PiC,
+  title={PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search},
+  author={Pham, Thang M and Yoon, Seunghyun and Bui, Trung and Nguyen, Anh},
+  journal={arXiv preprint arXiv:2207.09068},
+  year={2022}
+}
 """
 
 _DESCRIPTION = """\
-
+Phrase in Context is a curated benchmark for phrase understanding and semantic search, consisting of three tasks of increasing difficulty: Phrase Similarity (PS), Phrase Retrieval (PR) and Phrase Sense Disambiguation (PSD). The datasets are annotated by 13 linguistic experts on Upwork and verified by two groups: ~1000 AMT crowdworkers and another set of 5 linguistic experts. PiC benchmark is distributed under CC-BY-NC 4.0.
 """
 
-_HOMEPAGE = ""
+_HOMEPAGE = "https://phrase-in-context.github.io/"
 
-_LICENSE = "CC-BY-4.0"
+_LICENSE = "CC-BY-NC-4.0"
 
 _URL = "https://auburn.edu/~tmp0038/PiC/"
 _SPLITS = {
     "train": "train-v1.0.json",
     "dev": "dev-v1.0.json",
     "test": "test-v1.0.json",
+    "test_hard": "test-hard-v1.0.json",
 }
 
 _PS = "PS"
@@ -65,7 +71,7 @@ class PhraseSimilarity(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         PSConfig(
             name=_PS,
-            version=datasets.Version("1.0.0"),
+            version=datasets.Version("1.0.1"),
             description="The PiC Dataset for Phrase Similarity"
         )
     ]
@@ -94,7 +100,8 @@ class PhraseSimilarity(datasets.GeneratorBasedBuilder):
         urls_to_download = {
             "train": os.path.join(_URL, self.config.name, _SPLITS["train"]),
             "dev": os.path.join(_URL, self.config.name, _SPLITS["dev"]),
-            "test": os.path.join(_URL, self.config.name, _SPLITS["test"])
+            "test": os.path.join(_URL, self.config.name, _SPLITS["test"]),
+            "test_hard": os.path.join(_URL, self.config.name, _SPLITS["test_hard"])
         }
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
@@ -102,6 +109,7 @@ class PhraseSimilarity(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test_hard"]}),
         ]
 
     def _generate_examples(self, filepath):