Queries Dataset Csv
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Queries Dataset Csv has 6 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:has column(2), contains column(2), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other 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)
- Dataset Loading
ex:dataset-loading
readsFromReads From(1)
- Dataset Loading
ex:dataset-loading
savesToSaves to(1)
- Dataset Saving
ex:dataset-saving
Other facts (6)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Has Column | Reformulated Query Column | [1] |
| Has Column | Retrieved Documents Column | [1] |
| Contains Column | query | [2] |
| Contains Column | ground_truth | [2] |
| Rdf:type | Csv File | [2] |
| File Format | CSV | [2] |
Timeline
Timeline 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.
References (2)
ctx:claims/beam/34a1dce2-ecc2-4241-ad4a-235e8625b612- full textbeam-chunktext/plain1 KB
doc:beam/34a1dce2-ecc2-4241-ad4a-235e8625b612Show excerpt
retrieved_documents = rag_system.process_query(reformulated_query, context) return reformulated_query, retrieved_documents # Apply the function to each row df[['reformulated_query', 'retrieved_documents']] = df.apply( lambda ro…
ctx:claims/beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99- full textbeam-chunktext/plain1 KB
doc:beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99Show excerpt
logging.error(f'Error in PostProcessor for text "{text}": {e}') return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs …
See also
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