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Test Dataset

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

Test Dataset has 20 facts recorded in Dontopedia across 6 references, with 3 live disagreements.

20 facts·14 predicates·6 sources·3 in dispute

Mostly:rdf:type(4), used by(3), instantiated with(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Used byin disputeusedBy

  • Evaluation[5]sourceall time · 2d4011b7 Fd19 414d 88f5 084c1fba93b1
  • Prediction[5]sourceall time · 2d4011b7 Fd19 414d 88f5 084c1fba93b1
  • Trainer[6]sourceall time · 09c69473 903c 475d 98c1 A87aeedbce93

Instantiated Within disputeinstantiatedWith

Inverse ofinverseOf

Input toinputTo

  • Trainer[2]sourceall time · 974a068f 3f5b 4b96 B53c 9e0c612e3bee

Rdfs:labelrdfs:label

  • test dataset[2]all time · 974a068f 3f5b 4b96 B53c 9e0c612e3bee

Is AssignedisAssigned

Is Test Dataset ofisTestDatasetOf

  • Trainer[4]sourceall time · Befe5288 0889 4495 85bd A24c2feddb5d

Is Eval Dataset ofisEvalDatasetOf

  • Trainer[4]sourceall time · Befe5288 0889 4495 85bd A24c2feddb5d

Is aisA

Used in PhaseusedInPhase

Used forusedFor

Inbound mentions (8)

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.

calledWithCalled With(1)

distinctFromDistinct From(1)

hasEvalDatasetHas Eval Dataset(1)

outputVariableOutput Variable(1)

pairedWithPaired With(1)

relatedToRelated to(1)

similarToSimilar to(1)

takesArgumentTakes Argument(1)

Other facts (2)

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.

2 facts
PredicateValueRef
Contains Data FromTest Df[1]
Created byQuery Dataset[1]

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.

20 undated
—
containsDataFrombeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:test_df
—
createdBybeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:QueryDataset
—
inputTobeam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
ex:Trainer
—
instantiatedWithbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:test_df_labels
—
instantiatedWithbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:test_encodings
—
inverseOfbeam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
ex:QueryDataset_hasTestData
—
isAbeam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19
ex:QueryDataset
—
isAssignedbeam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
ex:QueryDataset_result_test
—
isEvalDatasetOfbeam/befe5288-0889-4495-85bd-a24c2feddb5d
ex:trainer
—
isTestDatasetOfbeam/befe5288-0889-4495-85bd-a24c2feddb5d
ex:trainer
—
labelbeam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
test dataset
—
typebeam/befe5288-0889-4495-85bd-a24c2feddb5d
ex:Dataset
—
typebeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:QueryDataset
—
typebeam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
ex:QueryDataset
—
typebeam/2d4011b7-fd19-414d-88f5-084c1fba93b1
ex:TestDataset
—
usedBybeam/2d4011b7-fd19-414d-88f5-084c1fba93b1
ex:evaluation
—
usedBybeam/2d4011b7-fd19-414d-88f5-084c1fba93b1
ex:prediction
—
usedBybeam/09c69473-903c-475d-98c1-a87aeedbce93
ex:trainer
—
usedForbeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:evaluation_process
—
usedInPhasebeam/14cf4eab-a053-4cf0-b374-9022e5e69c19
ex:evaluation_phase

References (6)

6 references
  1. [1]beam-chunk7 facts
    customctx:claims/beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
    • full textbeam-chunk
      text/plain1 KBdoc:beam/14cf4eab-a053-4cf0-b374-9022e5e69c19
      Show excerpt
      model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=len(df['label'].unique())) tokenizer = AutoTokenizer.from_pretrained(model_name) # Tokenize the data train_encodings = tokenizer(train_df['query'].tolist(), …
  2. [2]beam-chunk5 facts
    customctx:claims/beam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
    • full textbeam-chunk
      text/plain1 KBdoc:beam/974a068f-3f5b-4b96-b53c-9e0c612e3bee
      Show excerpt
      test_encodings = tokenize_data(tokenizer, test_df['query']) # Create datasets train_dataset = QueryDataset(train_encodings, train_df['label'].tolist()) test_dataset = QueryDataset(test_encodings, test_df['label'].tolist()) …
  3. [3]A2b9bcf1 B9d8 4717 B8f8 791ae0341a191 fact
    customctx:claims/beam/a2b9bcf1-b9d8-4717-b8f8-791ae0341a19
  4. [4]beam-chunk3 facts
    customctx:claims/beam/befe5288-0889-4495-85bd-a24c2feddb5d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/befe5288-0889-4495-85bd-a24c2feddb5d
      Show excerpt
      # Define training arguments training_args = TrainingArguments( output_dir=f'./results/{model_name}', num_train_epochs=3, per_device_train_batch_size=16, per_device_eval_batch_size=16, warmup_s…
  5. [5]beam-chunk3 facts
    customctx:claims/beam/2d4011b7-fd19-414d-88f5-084c1fba93b1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2d4011b7-fd19-414d-88f5-084c1fba93b1
      Show excerpt
      training_args = TrainingArguments( output_dir='./results', num_train_epochs=3, per_device_train_batch_size=16, per_device_eval_batch_size=16, warmup_steps=500, weight_decay=0.01, logging_dir='./logs', logging…
  6. [6]beam-chunk1 fact
    customctx:claims/beam/09c69473-903c-475d-98c1-a87aeedbce93
    • full textbeam-chunk
      text/plain1 KBdoc:beam/09c69473-903c-475d-98c1-a87aeedbce93
      Show excerpt
      output_dir='./results', num_train_epochs=3, per_device_train_batch_size=8, per_device_eval_batch_size=8, warmup_steps=500, weight_decay=0.01, logging_dir='./logs', logging_steps=10, evaluation_strategy="s…

See also

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