update utils

inspired_unicrs.py

@@ -1,7 +1,9 @@
 import json
 from typing import List, Dict
 import datasets
-from dataset.utils import markup_entity
+import sys
+sys.path.append('../')
+from utils import markup_entity
 
 logger = datasets.logging.get_logger(__name__)
 

utils.py

@@ -0,0 +1,54 @@
+import re
+import sys
+from typing import List
+
+from datasets import load_dataset, Value, Sequence
+import json
+
+ENTITY = 'entity'
+ENTITY_PATTERN = r'<entity> (.*?) </entity>'
+
+
+def markup_entity(utt: str, entities: List[str]):
+    # If entities like "action movie" and "action" appear at the same time, we only mark the longer one
+    entities = sorted(list(set(entities)), key=lambda x: len(x), reverse=True)
+    for i, entity in enumerate(entities):
+        valid = entity not in ENTITY
+        for prev in entities[:i]:
+            if entity in prev:
+                valid = False
+        if valid:
+            utt = re.sub(entity, ENTITY_PATTERN.format(entity), utt)
+    return utt
+
+def print_dataset_info(dataset):
+    # Print the features
+    print("features:")
+    for feature_name, feature in dataset.features.items():
+        if True:
+            print(f"  - name: {feature_name}")
+        if isinstance(feature, Value):
+            print(f"    dtype: {feature.dtype}")
+        elif isinstance(feature, Sequence):
+            print(f"    sequence: {feature.feature.dtype}")
+
+    # Print the splits information
+    print("splits:")
+    for split_name, split_info in dataset.info.splits.items():
+        print(f"  - name: {split_name}")
+        print(f"    num_bytes: {split_info.num_bytes}")
+        print(f"    num_examples: {split_info.num_examples}")
+
+    # Print the download size and dataset size
+    print(f"download_size: {dataset.info.download_size}")
+    print(f"dataset_size: {dataset.info.dataset_size}")
+
+
+if __name__ == "__main__":
+    dataset = load_dataset(sys.argv[1], sys.argv[2])
+    print_dataset_info(dataset["train"])
+
+    print("An example of 'test' looks as follows.")
+    print("```")
+    print(json.dumps(dataset["test"][0], indent=2, sort_keys=True))
+    print("```")