Update spanish_passage_retrieval.py

spanish_passage_retrieval.py

@@ -2,8 +2,6 @@
 
 
 import json
-import tempfile
-import patoolib
 import csv
 
 import os
@@ -17,7 +15,7 @@ _LANGUAGES = {'es': 'ES'}
 _VERSION = '1.0.0'
 
 
-URL = 'http://mklab.iti.gr/files/PRES_Dataset.rar'
+URL = 'https://huggingface.co/datasets/jinaai/spanish_passage_retrieval/resolve/main/'
 
 
 class PRESConfig(datasets.BuilderConfig):
@@ -30,7 +28,7 @@ class PRESConfig(datasets.BuilderConfig):
 
 
 class PRES(datasets.GeneratorBasedBuilder):
-    """The XMarketDE category to product retrieval dataset"""
+    """The Spanish Passage Retrieval dataset (PRES)"""
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
@@ -59,37 +57,25 @@ class PRES(datasets.GeneratorBasedBuilder):
             homepage=_HOMEPAGE_URL,
         )
 
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        downloaded_archive = dl_manager.download(URL)
+    def _split_generators(self, dl_manager):
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    'archive': downloaded_archive,
-                    'split': 'test',
-                },
-            ),
+            datasets.SplitGenerator(name=datasets.Split.TEST),
         ]
 
     def _generate_examples(
         self,
-        archive: str,
         split: str = None,
     ):
 
         if not self._data:
-            with tempfile.TemporaryDirectory() as tmpdir:
-                patoolib.extract_archive(archive, outdir=tmpdir)
-                extracted_path = os.path.join(tmpdir, 'PRES Dataset')
-
-                with open(os.path.join(extracted_path, 'docs.json')) as f:
-                    docs = json.load(f)
+            with open(os.path.join(URL, 'docs.json')) as f:
+                docs = json.load(f)
 
-                with open(os.path.join(extracted_path, 'topics.json')) as f:
-                    topics = json.load(f)
+            with open(os.path.join(URL, 'topics.json')) as f:
+                topics = json.load(f)
 
-                with open(os.path.join(extracted_path, 'relevance_passages.json')) as f:
-                    rel_passages = json.load(f)
+            with open(os.path.join(URL, 'relevance_passages.json')) as f:
+                rel_passages = json.load(f)
 
             corpus_sentences = []
             corpus_documents = []
@@ -150,4 +136,4 @@ class PRES(datasets.GeneratorBasedBuilder):
                 yield qid, {
                     "_id": qid,
                     "text": ' '.join(dids),
-                }
+                }