Added EOS token
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@ -57,8 +57,8 @@ class PipelineApplier():
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# MovieID and Abstract are unique for each other 1 <-> 1
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RDF = RDF.groupby(["MovieID", "Abstract"])["Triple"].apply("".join).reset_index()
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# add special token for: start of triple, end of triple and start of abstract
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RDF["Triple"] = SpecialToken.START_TRIPLE_LIST.value + RDF["Triple"]
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RDF["Abstract"] = SpecialToken.ABSTRACT.value + RDF["Abstract"]
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RDF["Triple"] = SpecialToken.START_TRIPLE_LIST.value + RDF["Triple"]+SpecialToken.END_OF_SENTENCE.value
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RDF["Abstract"] = SpecialToken.ABSTRACT.value + RDF["Abstract"] + SpecialToken.END_OF_SENTENCE.value
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return RDF[["MovieID","Triple","Abstract"]]
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@ -53,7 +53,7 @@ class Pipeline():
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self.task_rdf_completation = RDF_completation_task_dataset("./Assets/Dataset/Tmp/rdf_completation.csv")
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self._movie_filter.frequency_filter(50,3000)
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self._relationship_filter.frequency_filter(20, 2395627) # from 2718 to 3069
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self._relationship_filter.frequency_filter(25, 2395627) # from 2718 to 3069
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self._relationship_filter.delete_relationship_uri_by_list(RELATIONSHIP_FILTER_LIST)
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def other_filter(self):
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@ -131,7 +131,8 @@ class Pipeline():
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# Django Unchained : 138952
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# Spirited Away : 144137
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# Knives Out : 148025
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movie_list = [106465,106466,106467,106468,106469,106470,106471,106472,106473]#[117248, 147074, 113621, 1123, 117586, 90177, 71587, 138952, 144137, 148025]
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# [106465,106466,106467,106468,106469,106470,106471,106472,106473]
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movie_list = [117248, 147074, 113621, 1123, 117586, 90177, 71587, 138952, 144137, 148025]
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self._movie_filter.MOVIE_FILTER = pd.DataFrame({"MovieID": movie_list})
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def generate_csv_debug_file(self, debug_path:str):
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@ -9,6 +9,7 @@ class SpecialToken(str, Enum):
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RELATIONSHIP = "<PRED>"
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OBJECT = "<OBJ>"
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ABSTRACT = "<ABS>"
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END_OF_SENTENCE = "<EOS>"
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CORPUS_END = "<END>"
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## Tasks' Token
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