utils.py

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("```")