add features

scico.py

@@ -1,6 +1,7 @@
 """SciCo"""
 
 import os
+from datasets.arrow_dataset import DatasetTransformationNotAllowedError
 import jsonlines
 import datasets 
 
@@ -24,13 +25,13 @@ _DESCRIPTION = """\
 _DATA_URL = "https://nlp.biu.ac.il/~ariecattan/scico/data.tar"
 
 class Scico(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="plain_text",
-            version=datasets.Version("1.0.0", ""),
-            description="SciCo",
-        )
-    ]
+    # BUILDER_CONFIGS = [
+    #     datasets.BuilderConfig(
+    #         name="plain_text",
+    #         version=datasets.Version("1.0.0", ""),
+    #         description="SciCo",
+    #     )
+    # ]
     
     def _info(self):
         return datasets.DatasetInfo(
@@ -38,14 +39,24 @@ class Scico(datasets.GeneratorBasedBuilder):
                 homepage="https://scico.apps.allenai.org/",
                 features=datasets.Features(
                     {
-                        "flatten_tokens": datasets.features.Sequence,
-                        "flatten_mentions": datasets.features.Sequence,
-                        "tokens": datasets.features.Sequence,
-                        "doc_ids": datasets.features.Sequence,
-                        "metadata": datasets.features.Sequence,
-                        "sentences": datasets.features.Sequence,
-                        "mentions": datasets.features.Sequence,
-                        "relations": datasets.features.Sequence,
+                        "flatten_tokens": datasets.features.Sequence(datasets.features.Value("string")),
+                        "flatten_mentions": datasets.features.Sequence(datasets.features.Value("int32"), length=3),
+                        "tokens": datasets.features.Sequence(datasets.features.Value("string")),
+                        "doc_ids": datasets.features.Sequence(datasets.features.Value("int32")),
+                        "metadata": datasets.features.Sequence(
+                            {
+                                "title": datasets.feature.Value("string"),
+                                "_merge": datasets.feature.Value("string"),
+                                "paper_sha": datasets.feature.Value("string"),
+                                "fields_of_study": datasets.features.Sequences(datasets.feature.Value("string")),
+                                "Year": datasets.feature.Value("string"),
+                                "BookTitle": datasets.feature.Value("string"),
+                                "url": datasets.feature.Value("string")
+                            }
+                        ),
+                        "sentences": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32")))),
+                        "mentions": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=4)),
+                        "relations": datasets.features.Sequence(datasets.features.Sequence(datasets.features.Value("int32"), length=2)),
                         "id": datasets.Value("int32"),
                         "source": datasets.Value("string")
                     }