xlsum

xlsum.py

@@ -30,11 +30,11 @@ _CITATION = """\
 
 
 _DESCRIPTION = """\
-We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally 
+We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally
 annotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics.
 The dataset covers 45 languages ranging from low to high-resource, for many of which no
-public dataset is currently available. XL-Sum is highly abstractive, concise, 
-and of high quality, as indicated by human and intrinsic evaluation. 
+public dataset is currently available. XL-Sum is highly abstractive, concise,
+and of high quality, as indicated by human and intrinsic evaluation.
 """
 
 _HOMEPAGE = "https://github.com/csebuetnlp/xl-sum"
@@ -94,7 +94,7 @@ _LANGUAGES = [
 
 class Xlsum(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("2.0.0")
-    
+
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
             name="{}".format(lang),
@@ -111,7 +111,8 @@ class Xlsum(datasets.GeneratorBasedBuilder):
                     "gem_id": datasets.Value("string"),
                     "url": datasets.Value("string"),
                     "title": datasets.Value("string"),
-                    "summary": datasets.Value("string"),
+                    "target": datasets.Value("string"),
+                    "references": [datasets.Value("string")],
                     "text": datasets.Value("string"),
                 }
             ),
@@ -154,14 +155,15 @@ class Xlsum(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath, split):
         """Yields examples as (key, example) tuples."""
-        
+
         with open(filepath, encoding="utf-8") as f:
             for idx_, row in enumerate(f, 1):
                 data = json.loads(row)
                 yield idx_, {
-                    "gem_id": f"GEM-xlsum_{self.config.name}-{split}-{idx_}",
+                    "gem_id": f"xlsum_{self.config.name}-{split}-{idx_}",
                     "url": data["url"],
                     "title": data["title"],
-                    "summary": data["summary"],
+                    "target": data["summary"],
+                    "references": [data["summary"]],
                     "text": data["text"],
                 }