# Copyright Jiaqi Liu # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json from database.database_clients import get_node_label_attribute_key from vocabulary_parser import ANCIENT_GREEK from vocabulary_parser import get_attributes from vocabulary_parser import get_definitions from vocabulary_parser import get_vocabulary def generate_dataset(yaml_path: str, dataset_path: str): """ Generates a Hugging Face Dataset from https://github.com/QubitPi/wilhelm-vocabulary/blob/master/ancient-greek.yaml :param yaml_path: The absolute or relative path (to the invoking script) to the YAML file above :param dataset_path: The absolute or relative path (to the invoking script) to the generated dataset file """ vocabulary = get_vocabulary(yaml_path) label_key = get_node_label_attribute_key() all_nodes = {} with open(dataset_path, "w") as graph: for word in vocabulary: term = word["term"] attributes = get_attributes(word, ANCIENT_GREEK, label_key) source_node = attributes all_nodes[term] = source_node for definition_with_predicate in get_definitions(word): predicate = definition_with_predicate[0] definition = definition_with_predicate[1] target_node = {label_key: definition} label = {label_key: predicate if predicate else "definition"} graph.write(json.dumps({"source": source_node, "target": target_node, "link": label})) graph.write("\n")