Update docs

.gitattributes

@@ -52,3 +52,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+test.jsonl filter=lfs diff=lfs merge=lfs -text
+train.jsonl filter=lfs diff=lfs merge=lfs -text
+validation.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -6,6 +6,11 @@ license: mit
 
 This dataset is asks models to make use of embedded graph for question answering.
 
+Stats:
+- train: 50333
+- validation: 3294
+- test: 4748
+
 An exmaple of the dataset is as follows:
 
 ```json

gqa.py

@@ -1,14 +1,13 @@
 import json
 
 import datasets
-from datasets import Features, Sequence, Array2D, Value, DatasetDict
+from datasets import Features, Sequence, Array2D, Value
 from datasets.info import DatasetInfo
 
 
 _DESCRIPTION = """\
-GQA is a dataset containing 22M questions about visual scenes. \
-The questions are designed to be challenging, \
-i.e., they require compositional reasoning, \
+GQA is a dataset containing 58K questions about subgraphs extracted from Wikidata.
+The data are made from Lc-QuAD 2.0 and MCWQ datasets.
 """
 
 _URLS = {