init

data/nell.test.jsonl

@@ -1,3 +1,3 @@
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-size 275455
+oid sha256:134f41e3db58601aba6d3f903c4e243b5b7e846d61eac37e36c68c130415981e
+size 510425

data/nell.train.jsonl

@@ -1,3 +1,3 @@
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-size 1071208
+oid sha256:4fd1b662dba39038af6e63cf343152430290528f8a55265194316cf252646712
+size 1997174

data/nell.validation.jsonl

@@ -1,3 +1,3 @@
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-size 116970
+oid sha256:6a51f96df896ae77a46e0684f0b10c5d0b055083daec0b19647abb688c57ca39
+size 222265

data/wiki.test.jsonl

@@ -1,3 +1,3 @@
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+oid sha256:e16fa1f1e7a2e0b6987ba4cde8944771b5b9bd3465f8b872b2cdc324eacd05f0
+size 2044049

data/wiki.train.jsonl

@@ -1,3 +1,3 @@
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-size 3726937
+oid sha256:56b7715a33bdcaced2fbfdb22784d172840c9f2c21fd168defd2e79cff93bd15
+size 8154793

data/wiki.validation.jsonl

@@ -1,3 +1,3 @@
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-size 401621
+oid sha256:200139f320505ba16456a9b2c6e0b9eefd65c111fb990c9a06b6ea66d4d138bf
+size 883589

fewshot_link_prediction.py

@@ -78,7 +78,11 @@ class FewShotLinkPrediction(datasets.GeneratorBasedBuilder):
                 {
                     "relation": datasets.Value("string"),
                     "head": datasets.Value("string"),
+                    "head_entity": datasets.Value("string"),
+                    "head_type": datasets.Value("string"),
                     "tail": datasets.Value("string"),
+                    "tail_entity": datasets.Value("string"),
+                    "tail_type": datasets.Value("string"),
                 }
             ),
             supervised_keys=None,

process.py

@@ -11,12 +11,38 @@ tar -xzf wiki.tar.gz
 """
 import os
 import json
+import re
 from itertools import chain
 
 data_dir_nell = "NELL"
 data_dir_wiki = "Wiki"
 os.makedirs("data", exist_ok=True)
 
+short = ['alcs', "uk", "us", "usa"]
+
+
+def clean(token):
+    _, _type, token = token.split(":")
+    token = token.replace("_", " ")
+    token = token.replace("__", "")
+    token = re.sub(r"00\d\Z", "", token)
+    token = re.sub(r"\An(\d+)", r"\1", token)
+    if _type in ['animal', 'sea_creatures', 'bodypart', "arthropod", "insect", "crustacean", "invertebrate", "arachnid",
+                 "crustacean", "agriculturalproduct", "reptile", "mammal", "amphibian", "sport", "hobby", "vegetable",
+                 "beverage", "fruit", "grain", "coffeedrink", ]:
+        return token, _type
+    new_token = []
+    for _t in token.split(" "):
+        if len(_t) == 0:
+            continue
+        if _t in short:
+            _t = _t.upper()
+        else:
+            _t = _t.capitalize()
+        new_token.append(_t)
+    return " ".join(new_token), _type
+
+
 if not os.path.exists(data_dir_nell):
     raise ValueError("Please download the dataset first\n"
                      "wget https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz\n"
@@ -55,9 +81,23 @@ if __name__ == '__main__':
 
     for i, s in zip(['dev_tasks.json', 'test_tasks.json', 'train_tasks.json'], ['validation', 'test', 'train']):
         d = read_file(f"{data_dir_nell}/{i}")
+        for _d in d:
+            head_entity, head_type = clean(_d['head'])
+            _d['head_entity'] = head_entity
+            _d['head_type'] = head_type
+
+            tail_entity, tail_type = clean(_d['tail'])
+            _d['tail_entity'] = tail_entity
+            _d['tail_type'] = tail_type
+
         with open(f"data/nell.{s}.jsonl", "w") as f:
             f.write("\n".join([json.dumps(_d) for _d in d]))
 
         d = read_file(f"{data_dir_wiki}/{i}")
+        for _d in d:
+            _d['head_entity'] = ''
+            _d['head_type'] = ''
+            _d['tail_entity'] = ''
+            _d['tail_type'] = ''
         with open(f"data/wiki.{s}.jsonl", "w") as f:
             f.write("\n".join([json.dumps(_d) for _d in d]))