Rename dev to valid

vqa-lxmert.py

@@ -45,13 +45,13 @@ These questions require an understanding of vision, language and commonsense kno
 _URLS = {
     "train": "https://nlp.cs.unc.edu/data/lxmert_data/vqa/train.json",
     "train_feat": "https://nlp.cs.unc.edu/data/lxmert_data/mscoco_imgfeat/train2014_obj36.zip",
-    "dev": "https://nlp.cs.unc.edu/data/lxmert_data/vqa/valid.json",
-    "dev_feat": "https://nlp.cs.unc.edu/data/lxmert_data/mscoco_imgfeat/val2014_obj36.zip",
+    "valid": "https://nlp.cs.unc.edu/data/lxmert_data/vqa/valid.json",
+    "valid_feat": "https://nlp.cs.unc.edu/data/lxmert_data/mscoco_imgfeat/val2014_obj36.zip",
     "ans2label": "https://raw.githubusercontent.com/airsplay/lxmert/master/data/vqa/trainval_ans2label.json",
 }
 
 _TRAIN_IMG_PATH = "train2014_obj36.tsv"
-_DEV_IMG_PATH = "mscoco_imgfeat/val2014_obj36.tsv"
+_VALID_IMG_PATH = "mscoco_imgfeat/val2014_obj36.tsv"
 
 FIELDNAMES = [
     "img_id", "img_h", "img_w", "objects_id", "objects_conf", "attrs_id", "attrs_conf", "num_boxes", "boxes", "features"
@@ -106,7 +106,7 @@ class VqaV2Lxmert(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": dl_dir["dev"], "imgfeat": os.path.join(dl_dir["dev_feat"], _DEV_IMG_PATH)},
+                gen_kwargs={"filepath": dl_dir["valid"], "imgfeat": os.path.join(dl_dir["valid_feat"], _VALID_IMG_PATH)},
             ),
         ]