Upload bookcoref.py with huggingface_hub

bookcoref.py

@@ -13,6 +13,8 @@
 # limitations under the License.
 """BookCoref is a datasets for coreference resolution, with a manually annotated test set and an automatically generated training set."""
 
+import contextlib
+import io
 import json
 import logging
 import sys
@@ -99,15 +101,15 @@ class BookCoref(datasets.GeneratorBasedBuilder):
         self.logger.info("Initializing BOOKCOREF dataset.")
         # Download nltk if not already downloaded
         nltk.download("punkt", quiet=True)
-        # Download spaCy model for tokenization if not already downloaded
+        # Download and load spaCy model for tokenization if not already downloaded
         try:
             self.nlp = spacy.load("en_core_web_sm")
         except OSError:
             self.logger.info("Downloading spaCy model...")
-            spacy.cli.download("en_core_web_sm")  # type: ignore
+            with contextlib.redirect_stdout(io.StringIO()), contextlib.redirect_stderr(io.StringIO()):
+                spacy.cli.download("en_core_web_sm")  # type: ignore
             self.nlp = spacy.load("en_core_web_sm")
-        # Load spaCy model for tokenization
-        self.nlp = spacy.load("en_core_web_sm", exclude=["lemmatizer", "ner", "textcat"])
+        self.logger.info("spaCy model loaded.")
 
     def _info(self):
         features = datasets.Features(