Dataset Collection
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Dataset Collection has 3 facts recorded in Dontopedia across 3 references.
Maturity scale
raw canonical shape-checked rule-derived certifiedIs Question AboutisQuestionAbout
- Evaluation Preparation[2]all time · Ca2653b8 C25f 4a54 Bdfa Ff6ea71f5472
Is PrerequisiteisPrerequisite
- Evaluation Execution[1]sourceall time · 241122f8 Dc34 4876 8384 3647f4796af6
Statusstatus
- ready[3]sourceall time · 241
Inbound mentions (2)
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.
rdf:typeRdf:type(2)
- Split Datasets
ex:split-datasets - Train Val Datasets
ex:train-val-datasets
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 (3)
- custom
ctx:claims/beam/241122f8-dc34-4876-8384-3647f4796af6- full textbeam-chunktext/plain1 KB
doc:beam/241122f8-dc34-4876-8384-3647f4796af6Show excerpt
self.tokenizer = tokenizer def process_query(self, query, context=None): # Reformulate the query reformulated_query = reformulate_query(query, context) # Process the reformulated query (e.g., retrieve r…
- custom
ctx:claims/beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472- full textbeam-chunktext/plain1 KB
doc:beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472Show excerpt
true_vector = [doc in ground_truth_documents for doc in retrieved_documents] pred_vector = [True] * len(retrieved_documents) y_true.extend(true_vector) y_pred.extend(pred_vector) # Calculate precision and recall precision …
- custom
ctx:discord/blah/watt-activation/241- full textwatt-activation-241text/plain3 KB
doc:agent/watt-activation-241/a5e98867-5e57-49f8-bc07-6788e54cbc7aShow excerpt
[2026-03-12 04:22] xenonfun: ``` ⏺ All wired up. Here's what was added to train_multimodal.py: wandb integration: - --wandb-project (default: harmonic-mlx-multimodal), --no-wandb flags - wandb.init with full model config, modalities,…
See also
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