Update attribute names

funsd.py

@@ -61,7 +61,7 @@ class Funsd(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "id": datasets.Value("string"),
-                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "words": datasets.Sequence(datasets.Value("string")),
                     "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
@@ -93,7 +93,7 @@ class Funsd(datasets.GeneratorBasedBuilder):
         ann_dir = os.path.join(filepath, "annotations")
         img_dir = os.path.join(filepath, "images")
         for guid, file in enumerate(sorted(os.listdir(ann_dir))):
-            tokens = []
+            words = []
             bboxes = []
             ner_tags = []
             file_path = os.path.join(ann_dir, file)
@@ -103,21 +103,21 @@ class Funsd(datasets.GeneratorBasedBuilder):
             image_path = image_path.replace("json", "png")
             image, size = load_image(image_path)
             for item in data["form"]:
-                words, label = item["words"], item["label"]
-                words = [w for w in words if w["text"].strip() != ""]
-                if len(words) == 0:
+                words_example, label = item["words"], item["label"]
+                words_example = [w for w in words_example if w["text"].strip() != ""]
+                if len(words_example) == 0:
                     continue
                 if label == "other":
-                    for w in words:
-                        tokens.append(w["text"])
+                    for w in words_example:
+                        words.append(w["text"])
                         ner_tags.append("O")
                         bboxes.append(normalize_bbox(w["box"], size))
                 else:
-                    tokens.append(words[0]["text"])
+                    words.append(words_example[0]["text"])
                     ner_tags.append("B-" + label.upper())
-                    bboxes.append(normalize_bbox(words[0]["box"], size))
-                    for w in words[1:]:
-                        tokens.append(w["text"])
+                    bboxes.append(normalize_bbox(words_example[0]["box"], size))
+                    for w in words_example[1:]:
+                        words.append(w["text"])
                         ner_tags.append("I-" + label.upper())
                         bboxes.append(normalize_bbox(w["box"], size))
-            yield guid, {"id": str(guid), "tokens": tokens, "bboxes": bboxes, "ner_tags": ner_tags, "image_path": image_path}
+            yield guid, {"id": str(guid), "words": words, "bboxes": bboxes, "ner_tags": ner_tags, "image_path": image_path}