update utils
Browse files- inspired_unicrs.py +3 -1
- utils.py +54 -0
inspired_unicrs.py
CHANGED
@@ -1,7 +1,9 @@
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import json
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from typing import List, Dict
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import datasets
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-
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logger = datasets.logging.get_logger(__name__)
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import json
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from typing import List, Dict
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import datasets
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import sys
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sys.path.append('../')
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from utils import markup_entity
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logger = datasets.logging.get_logger(__name__)
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utils.py
ADDED
@@ -0,0 +1,54 @@
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import re
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import sys
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from typing import List
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from datasets import load_dataset, Value, Sequence
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import json
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ENTITY = 'entity'
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ENTITY_PATTERN = r'<entity> (.*?) </entity>'
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def markup_entity(utt: str, entities: List[str]):
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# If entities like "action movie" and "action" appear at the same time, we only mark the longer one
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entities = sorted(list(set(entities)), key=lambda x: len(x), reverse=True)
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for i, entity in enumerate(entities):
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valid = entity not in ENTITY
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for prev in entities[:i]:
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if entity in prev:
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valid = False
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if valid:
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utt = re.sub(entity, ENTITY_PATTERN.format(entity), utt)
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return utt
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def print_dataset_info(dataset):
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# Print the features
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print("features:")
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for feature_name, feature in dataset.features.items():
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if True:
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print(f" - name: {feature_name}")
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if isinstance(feature, Value):
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print(f" dtype: {feature.dtype}")
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elif isinstance(feature, Sequence):
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print(f" sequence: {feature.feature.dtype}")
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# Print the splits information
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print("splits:")
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for split_name, split_info in dataset.info.splits.items():
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print(f" - name: {split_name}")
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print(f" num_bytes: {split_info.num_bytes}")
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print(f" num_examples: {split_info.num_examples}")
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# Print the download size and dataset size
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print(f"download_size: {dataset.info.download_size}")
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print(f"dataset_size: {dataset.info.dataset_size}")
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if __name__ == "__main__":
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dataset = load_dataset(sys.argv[1], sys.argv[2])
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print_dataset_info(dataset["train"])
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print("An example of 'test' looks as follows.")
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print("```")
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print(json.dumps(dataset["test"][0], indent=2, sort_keys=True))
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print("```")
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