From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Queries Dataset.csv has 8 facts recorded in Dontopedia across 2 references, with 3 live disagreements.
Mostly:contains column(3), rdf:type(2), has column(2)
fileFormatOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
readsFileReads File(1)ex:Dataset loadingTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/f008f4ce-021d-4be6-b191-62e598ae1493dataset = pd.read_csv('queries_dataset.csv') # Split the dataset into training and testing sets train_data, test_data = train_test_split(dataset, test_size=0.2) # Train the RAG system (if needed) # ... # Evaluate the system on the test d…
doc:beam/77873915-3656-4efe-bfce-aecac2835fe7- **Example**: Check if the reformulated text matches the expected output. ```python class Validator: def __call__(self, text, ground_truth): try: # Check if the reformulated text matches the ground truth …
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