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Dataset Collection

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Dataset Collection has 3 facts recorded in Dontopedia across 3 references.

3 facts·3 predicates·3 sources
Maturity scale raw canonical shape-checked rule-derived certified

Is Question AboutisQuestionAbout

Is PrerequisiteisPrerequisite

Statusstatus

  • ready[3]sourceall time · 241

Inbound mentions (2)

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rdf:typeRdf:type(2)

Timeline

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isPrerequisitebeam/241122f8-dc34-4876-8384-3647f4796af6
ex:evaluation-execution
isQuestionAboutbeam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
ex:evaluation-preparation
statusblah/watt-activation/241
ready

References (3)

3 references
  1. [1]beam-chunk1 fact
    customctx:claims/beam/241122f8-dc34-4876-8384-3647f4796af6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/241122f8-dc34-4876-8384-3647f4796af6
      Show 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
  2. [2]beam-chunk1 fact
    customctx:claims/beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
      Show 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
  3. customctx:discord/blah/watt-activation/241
    • full textwatt-activation-241
      text/plain3 KBdoc:agent/watt-activation-241/a5e98867-5e57-49f8-bc07-6788e54cbc7a
      Show 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,

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