Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
coreference-resolution
Languages:
English
Size:
< 1K
License:
Arie Cattan
commited on
Commit
•
151dd98
1
Parent(s):
d66638a
fix
Browse files
scico.py
CHANGED
@@ -43,7 +43,7 @@ class Scico(datasets.GeneratorBasedBuilder):
|
|
43 |
"flatten_tokens": datasets.features.Sequence(datasets.features.Value("string")),
|
44 |
"flatten_mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=3)),
|
45 |
"tokens": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("string"))),
|
46 |
-
"doc_ids": datasets.features.Sequence(datasets.features.Value("int32"))
|
47 |
# "metadata": datasets.features.Sequence(
|
48 |
# {
|
49 |
# "title": datasets.features.Value("string"),
|
@@ -54,14 +54,14 @@ class Scico(datasets.GeneratorBasedBuilder):
|
|
54 |
# "url": datasets.features.Value("string")
|
55 |
# }
|
56 |
# )
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
}
|
66 |
),
|
67 |
supervised_keys=None,
|
@@ -95,14 +95,14 @@ class Scico(datasets.GeneratorBasedBuilder):
|
|
95 |
"flatten_mentions": topic["flatten_mentions"],
|
96 |
"tokens": topic["tokens"],
|
97 |
"doc_ids": topic["doc_ids"],
|
98 |
-
"doc_ids": topic["doc_ids"]
|
99 |
# "metadata": topic["metadata"]
|
100 |
-
|
101 |
-
|
102 |
-
|
103 |
-
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
}
|
|
|
43 |
"flatten_tokens": datasets.features.Sequence(datasets.features.Value("string")),
|
44 |
"flatten_mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=3)),
|
45 |
"tokens": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("string"))),
|
46 |
+
"doc_ids": datasets.features.Sequence(datasets.features.Value("int32")),
|
47 |
# "metadata": datasets.features.Sequence(
|
48 |
# {
|
49 |
# "title": datasets.features.Value("string"),
|
|
|
54 |
# "url": datasets.features.Value("string")
|
55 |
# }
|
56 |
# )
|
57 |
+
"sentences": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32")))),
|
58 |
+
"mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=4)),
|
59 |
+
"relations": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=2)),
|
60 |
+
"id": datasets.Value("int32"),
|
61 |
+
"source": datasets.Value("string"),
|
62 |
+
"hard_10": datasets.features.Value("bool"),
|
63 |
+
"hard_20": datasets.features.Value("bool"),
|
64 |
+
"curated": datasets.features.Value("bool")
|
65 |
}
|
66 |
),
|
67 |
supervised_keys=None,
|
|
|
95 |
"flatten_mentions": topic["flatten_mentions"],
|
96 |
"tokens": topic["tokens"],
|
97 |
"doc_ids": topic["doc_ids"],
|
98 |
+
"doc_ids": topic["doc_ids"],
|
99 |
# "metadata": topic["metadata"]
|
100 |
+
"sentences": topic["sentences"],
|
101 |
+
"mentions": topic["mentions"],
|
102 |
+
"relations": topic["relations"],
|
103 |
+
"id": topic["id"],
|
104 |
+
"source": topic["source"],
|
105 |
+
"hard_10": topic["hard_10"],
|
106 |
+
"hard_20": topic["hard_20"],
|
107 |
+
"curated": topic["curated"]
|
108 |
}
|