Update sotab.py

sotab.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables."""
+"""The SOTAB dataset is a large-scale dataset for the task of column type annotation on semi-structured tables."""
 
 import os
 
@@ -20,28 +20,16 @@ import datasets
 
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
-@inproceedings{pasupat-liang-2015-compositional,
-    title = "Compositional Semantic Parsing on Semi-Structured Tables",
-    author = "Pasupat, Panupong and Liang, Percy",
-    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
-    month = jul,
-    year = "2015",
-    address = "Beijing, China",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/P15-1142",
-    doi = "10.3115/v1/P15-1142",
-    pages = "1470--1480",
-}
+
 """
 
 # You can copy an official description
 _DESCRIPTION = """\
-This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
 """
 
-_HOMEPAGE = "https://nlp.stanford.edu/software/sempre/wikitable"
+_HOMEPAGE = ""
 
-_LICENSE = "Creative Commons Attribution Share Alike 4.0 International"
+_LICENSE = ""
 
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
@@ -51,7 +39,7 @@ _DATA_URL = (
 
 
 class WikiTableQuestions(datasets.GeneratorBasedBuilder):
-    """WikiTableQuestions: a large-scale dataset for the task of question answering on semi-structured tables."""
+    """The SOTAB dataset is a large-scale dataset for the task of column type annotation on semi-structured tables."""
 
     VERSION = datasets.Version("1.0.2")
 
@@ -72,26 +60,6 @@ class WikiTableQuestions(datasets.GeneratorBasedBuilder):
             version=VERSION,
             description="The random-split-1-train/dev.tsv and pristine-unseen-tables.tsv",
         ),
-        datasets.BuilderConfig(
-            name="random-split-2",
-            version=VERSION,
-            description="The random-split-2-train/dev.tsv and pristine-unseen-tables.tsv",
-        ),
-        datasets.BuilderConfig(
-            name="random-split-3",
-            version=VERSION,
-            description="The random-split-3-train/dev.tsv and pristine-unseen-tables.tsv",
-        ),
-        datasets.BuilderConfig(
-            name="random-split-4",
-            version=VERSION,
-            description="The random-split-4-train/dev.tsv and pristine-unseen-tables.tsv",
-        ),
-        datasets.BuilderConfig(
-            name="random-split-5",
-            version=VERSION,
-            description="The random-split-5-train/dev.tsv and pristine-unseen-tables.tsv",
-        ),
     ]
 
     DEFAULT_CONFIG_NAME = (
@@ -102,8 +70,8 @@ class WikiTableQuestions(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "id": datasets.Value("string"),
-                "question": datasets.Value("string"),
-                "answers": datasets.features.Sequence(datasets.Value("string")),
+                "column_index": datasets.Value("int"),
+                "label": datasets.features.Sequence(datasets.Value("string")),
                 "table": {
                     "header": datasets.features.Sequence(datasets.Value("string")),
                     "rows": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),