Added train test split

QALD/combined-requeried-linked-test.json

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WHERE { ?uri a <http://dbpedia.org/ontology/SoccerClub> { ?uri <http://dbpedia.org/ontology/ground> <http://dbpedia.org/resource/Spain> } UNION { ?uri <http://dbpedia.org/property/ground> ?ground FILTER regex(?ground, \"Spain\") } }"}, "answers": {"uri": {"type": "uri", "value": "http://dbpedia.org/resource/And\u00e9s_CF"}}, "entities": [{"URI": "http://dbpedia.org/resource/Spain", "surface form": "Spain"}], "relations": [{"URI": "http://dbpedia.org/ontology/clubsRecordGoalscorer", "surface form": "soccer clubs"}]}, {"id": "23", "question": [{"language": "en", "string": "Which telecommunications organizations are located in Belgium?"}], "query": {"sparql": "SELECT (COUNT(DISTINCT ?uri) AS ?c) WHERE { ?uri a <http://dbpedia.org/ontology/Organisation> { ?uri <http://dbpedia.org/ontology/industry> <http://dbpedia.org/resource/Telecommunication> } UNION { ?uri <http://dbpedia.org/property/industry> ?industry FILTER regex(?industry, \"Telecommunications\") } { ?uri 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"http://dbpedia.org/resource/Heraklion", "surface form": "Heraklion"}], "relations": [{"URI": "http://dbpedia.org/ontology/birthPlace", "surface form": "born"}]}, {"id": "39", "question": [{"language": "en", "string": "Which software has been published by Mean Hamster Software?"}], "query": {"sparql": "PREFIX res: <http://dbpedia.org/resource/> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX onto: <http://dbpedia.org/ontology/> PREFIX prop: <http://dbpedia.org/property/> SELECT DISTINCT ?uri WHERE { ?uri rdf:type onto:Software { ?uri prop:publisher \"Mean Hamster Software\"@en } UNION { ?uri onto:publisher res:Mean_Hamster_Software } }"}, "answers": {"uri": {"type": "uri", "value": "http://dbpedia.org/resource/Riven"}}, "entities": [{"URI": "http://dbpedia.org/resource/Software", "surface form": "software"}, {"URI": "http://dbpedia.org/resource/Mean_Hamster_Software", "surface form": "Mean Hamster Software"}], 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{"sparql": "PREFIX dbo: <http://dbpedia.org/ontology/> PREFIX dbr: <http://dbpedia.org/resource/> SELECT ?pIraq WHERE { dbr:Iraq dbo:populationTotal ?pIraq }"}, "answers": {"pIraq": {"type": "typed-literal", "datatype": "http://www.w3.org/2001/XMLSchema#nonNegativeInteger", "value": "44222503"}}, "entities": [{"URI": "http://dbpedia.org/resource/Population", "surface form": "population  Iraq"}], "relations": []}, {"id": "445", "question": [{"language": "en", "string": "how much is the population densty rank of germany?"}], "query": {"sparql": "PREFIX dbr: <http://dbpedia.org/resource/> PREFIX dbp: <http://dbpedia.org/property/> SELECT ?rank WHERE { dbr:Germany dbp:populationDensityRank ?rank }"}, "answers": {"rank": {"type": "typed-literal", "datatype": "http://www.w3.org/2001/XMLSchema#integer", "value": "58"}}, "entities": [{"URI": "http://dbpedia.org/resource/RANK", "surface form": "population densty rank"}, {"URI": "http://dbpedia.org/resource/Germany", "surface form": "germany"}], "relations": []}, {"id": "446", "question": [{"language": "en", "string": "Which holidays are celebrated around the world? test2"}], "query": {"sparql": "PREFIX dbo: <http://dbpedia.org/ontology/> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT DISTINCT ?uri WHERE { ?uri rdf:type dbo:Holiday }"}, "answers": {"uri": {"type": "uri", "value": "http://dbpedia.org/resource/1981_Handsworth_riots"}}, "entities": [{"URI": "http://dbpedia.org/resource/Testa", "surface form": "test2"}], "relations": [{"URI": "http://dbpedia.org/ontology/feastDay", "surface form": "holidays"}, {"URI": "http://dbpedia.org/ontology/party", "surface form": "celebrated"}]}]}
\ No newline at end of file

data/train-test-split.py

+import sys
+import json
+import random
+
+
+
+if __name__ == "__main__":
+    if len(sys.argv) != 3:
+        print("Usage: python train-test-split.py <train_percentage> <input_file>")
+        sys.exit(1)
+
+    train_percentage = int(sys.argv[1])
+    input_file = sys.argv[2]
+    file_name = input_file.split(".json")[0]
+
+    questions = []
+    with open(input_file, "r") as f:
+        data = json.load(f)
+        questions = data["questions"]
+    train_size = int(len(questions) * train_percentage / 100)
+    test_size = len(questions) - train_size
+    train_questions = random.choices(questions, k=train_size)
+    test_questions = [q for q in questions if q not in train_questions]
+    train_data = {"questions": train_questions}
+    test_data = {"questions": test_questions}
+    with open(file_name + "-train.json", "w") as f:
+        json.dump(train_data, f)
+    
+    with open(file_name + "-test.json", "w") as f:
+        json.dump(test_data, f)
+    
+