add train/val/test

xsum.py

@@ -17,12 +17,12 @@ _DESCRIPTION = """\
 This is the XSUM subset of the GEM benchmark.
 """
 _URLs = {
-	"xsum": {
-            "data": "http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz",
-            "splits": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_xsum_confidence_0.8.json",
-            "challenge_set": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_challenge_sets/xsum.zip",
-    	},
-    }
+    "xsum": {
+        "data": "http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz",
+        "splits": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_xsum_confidence_0.8.json",
+        "challenge_set": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_challenge_sets/xsum.zip",
+    },
+}
 
 _XSUM_REMOVE_LINES = set(
     [
@@ -40,6 +40,7 @@ _XSUM_REMOVE_LINES = set(
     ]
 )
 
+
 class Xsum(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
@@ -53,7 +54,7 @@ class Xsum(datasets.GeneratorBasedBuilder):
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-       	    features = datasets.Features(
+            features=datasets.Features(
                 {
                     "gem_id": datasets.Value("string"),
                     "gem_parent_id": datasets.Value("string"),
@@ -61,8 +62,8 @@ class Xsum(datasets.GeneratorBasedBuilder):
                     "document": datasets.Value("string"),
                     "target": datasets.Value("string"),
                     "references": [datasets.Value("string")],
-                }     
-	    ),
+                }
+            ),
             supervised_keys=None,
             homepage="",
             citation=_CITATION,
@@ -75,12 +76,43 @@ class Xsum(datasets.GeneratorBasedBuilder):
             ("challenge_train_sample", "train_xsum_RandomSample500.json"),
             ("challenge_validation_sample", "validation_xsum_RandomSample500.json"),
             ("challenge_test_backtranslation", "test_xsum_BackTranslation500.json"),
-            ("challenge_test_bfp_02", "test_xsum_ButterFingersPerturbation_p=0.02_500.json"),
-            ("challenge_test_bfp_05", "test_xsum_ButterFingersPerturbation_p=0.05_500.json"),
+            (
+                "challenge_test_bfp_02",
+                "test_xsum_ButterFingersPerturbation_p=0.02_500.json",
+            ),
+            (
+                "challenge_test_bfp_05",
+                "test_xsum_ButterFingersPerturbation_p=0.05_500.json",
+            ),
             ("challenge_test_nopunc", "test_xsum_WithoutPunctuation500.json"),
-            ("challenge_test_covid", f"en_test_covid19.jsonl"),  	    
+            ("challenge_test_covid", f"en_test_covid19.jsonl"),
         ]
         return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": dl_dir["splits"],
+                    "split": "train",
+                    "filepaths": os.path.join(dl_dir["data"], "bbc-summary-data"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": dl_dir["splits"],
+                    "split": "validation",
+                    "filepaths": os.path.join(dl_dir["data"], "bbc-summary-data"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": dl_dir["splits"],
+                    "split": "test",
+                    "filepaths": os.path.join(dl_dir["data"], "bbc-summary-data"),
+                },
+            ),
+        ] + [
             datasets.SplitGenerator(
                 name=challenge_split,
                 gen_kwargs={
@@ -88,7 +120,7 @@ class Xsum(datasets.GeneratorBasedBuilder):
                     "split": challenge_split,
                 },
             )
-            for challenge_split, filename in challenge_sets 	
+            for challenge_split, filename in challenge_sets
         ]
 
     def _generate_examples(self, filepath, split, filepaths=None):
@@ -121,9 +153,15 @@ class Xsum(datasets.GeneratorBasedBuilder):
             with open(filepath, "r", encoding="utf-8") as f:
                 split_ids = json.load(f)
             for id_, i in enumerate(split_ids[split]):
-                with open(os.path.join(filepaths, i + ".summary"), "r", encoding="utf-8") as f:
+                with open(
+                    os.path.join(filepaths, i + ".summary"), "r", encoding="utf-8"
+                ) as f:
                     text = "".join(
-                        [line for line in f.readlines() if line not in _XSUM_REMOVE_LINES and line.strip()]
+                        [
+                            line
+                            for line in f.readlines()
+                            if line not in _XSUM_REMOVE_LINES and line.strip()
+                        ]
                     )
                     segs = text.split("[SN]")
                     yield id_, {