Dontopedia

Eval Dataset

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Eval Dataset has 9 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

9 facts·7 predicates·3 sources·1 in dispute

Mostly:rdf:type(3), uses same data as(1), provides data to(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

containsSplitContains Split(1)

definesVariableDefines Variable(1)

describesVariableDescribes Variable(1)

initializedWithInitialized With(1)

isSharedByIs Shared by(1)

isUsedAsIs Used As(1)

providesGuidanceProvides Guidance(1)

relatedToRelated to(1)

splitsDatasetSplits Dataset(1)

takesArgumentTakes Argument(1)

usesUses(1)

usesSameDataAsUses Same Data As(1)

Other facts (9)

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.

9 facts
PredicateValueRef
Rdf:typeDataset[1]
Rdf:typeDataset Split[2]
Rdf:typeDataset[3]
Uses Same Data AsTrain Dataset[1]
Provides Data toTrainer[1]
Derived FromTokenized Datasets[2]
Split Roleevaluation[2]
Is Placeholdertrue[3]
Related toTrain Dataset[3]

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.

typebeam/018e6829-a4ce-4a26-9be8-6d8ad3231779
ex:Dataset
usesSameDataAsbeam/018e6829-a4ce-4a26-9be8-6d8ad3231779
ex:train-dataset
providesDataTobeam/018e6829-a4ce-4a26-9be8-6d8ad3231779
ex:trainer
typebeam/a287a209-7227-4d35-88d1-e63467e5486c
ex:DatasetSplit
derivedFrombeam/a287a209-7227-4d35-88d1-e63467e5486c
ex:tokenized-datasets
splitRolebeam/a287a209-7227-4d35-88d1-e63467e5486c
evaluation
typebeam/08d01dee-8025-41e7-bdd4-fa05629b996c
ex:Dataset
isPlaceholderbeam/08d01dee-8025-41e7-bdd4-fa05629b996c
true
relatedTobeam/08d01dee-8025-41e7-bdd4-fa05629b996c
ex:train-dataset

References (3)

3 references
  1. ctx:claims/beam/018e6829-a4ce-4a26-9be8-6d8ad3231779
    • full textbeam-chunk
      text/plain1 KBdoc:beam/018e6829-a4ce-4a26-9be8-6d8ad3231779
      Show excerpt
      # Define training arguments 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, loggi
  2. ctx:claims/beam/a287a209-7227-4d35-88d1-e63467e5486c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a287a209-7227-4d35-88d1-e63467e5486c
      Show excerpt
      Here's the complete example: ```python from transformers import AutoModelForSequenceClassification, AutoTokenizer, Trainer, TrainingArguments from datasets import load_dataset import torch # Load your dataset dataset = load_dataset("your_
  3. ctx:claims/beam/08d01dee-8025-41e7-bdd4-fa05629b996c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/08d01dee-8025-41e7-bdd4-fa05629b996c
      Show excerpt
      - The `reformulate` function takes an input query, encodes it with the tokenizer, and generates a reformulated query using the model. 3. **Prefix for Task Guidance**: - The prefix `"reformulate: "` guides the model on the task at han

See also

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