challenge sets: abstractivity and topic diversity

animal.zip

@@ -1,3 +1,3 @@
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-size 493575209
+oid sha256:47869bcb495437c21bb9a3a59da5615d92224761a80147d94b68093c920f6f86
+size 48552492

company.zip

@@ -1,3 +1,3 @@
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-size 872354086
+oid sha256:8ee5627ba95e05e7a87d759b226f3e0cc0f94d731b7c5dc99a99aa99cad106db
+size 86035755

film.zip

@@ -1,3 +1,3 @@
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-size 859086412
+oid sha256:f67fa8665b365a9f111da965a839351a6b396eaf88194716f237168c64e778f0
+size 84121809

wiki_cat_sum.py

@@ -83,6 +83,8 @@ class WikiCatSum(datasets.GeneratorBasedBuilder):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         features = datasets.Features(
             {
+                "gem_id": datasets.Value("string"),
+                "gem_parent_id": datasets.Value("string"),
                 "id": datasets.Value("string"),
                 "title": datasets.Value("string"),
                 "paragraphs": datasets.features.Sequence(
@@ -123,10 +125,13 @@ class WikiCatSum(datasets.GeneratorBasedBuilder):
         my_urls = _URLs[self.config.name]
         data_dir = dl_manager.download_and_extract(my_urls)
         challenge_sets = [
-            ("challenge_%s_nov_%s" % (split,lvl),"%s-%s_nv2_%s.jsonl" % (split,self.config.name,lvl)) \
-                for split in ["train","valid","test"] for lvl in ["low","mid","high"]
+            ("challenge_nov_%d" % lvl,"test-%s_nv_%d.jsonl" % (split,self.config.name,lvl)) \
+                for lvl in range(11)
+        ] + [
+            ("challenge_tdiv_%d" % lvl,"test-%s_tdiv_%d.jsonl" % (self.config.name,lvl)) \
+                for lvl in range(4)
         ]
-        # + ...
+        
 
         return [
             datasets.SplitGenerator(
@@ -171,8 +176,11 @@ class WikiCatSum(datasets.GeneratorBasedBuilder):
         # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is here for legacy reason (tfds) and is not important in itself.
 
+        for x in ["train","valid","test"]:
+            if x in split: p_split=x; break
         with open(filepath, encoding="utf-8") as f:
-            for row in f:
+            for id_, row in enumerate(f):
                 data = json.loads(row)
+                data["gem_parent_id"] = "GEM-wiki_cat_sum-%s-%d" % (split,data["id"]+1)
                 data["gem_id"] = "GEM-wiki_cat_sum-%s-%d" % (split,data["id"]+1)
-                yield data["id"],data
+                yield id_,data