Datasets › Inferential-Strategies

Inferential-Strategies

Introduced by Philipp Mondorf et al. in Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning20 Feb 2024 archive 2025-07-28

A collection of large languge model responses to tasks of propositional logic. The responses are annotated according to the following criteria:

  • Inferential strategy employed by the model. Strategies considered are: supposition following, chain construction, compound strategy, concatenation strategy, and the symbolic strategy. Binary labels are assigned to each strategy, indicating whether the strategy is present in the model's response.
  • Assessment of the validity of the model's final conclusion. Binary labels are assigned to each response, indicating whether the model's conclusion is accurate ("valid_conclusion").
  • Evaluation of the soundness of the model's rationale. Binary labels are assigned to each response, indicating whether the rationale provided by the model is sound ("sound_reasoning").
  • A description of the model's reasoning error. This information is provided in the form of a string ("reasoning_errors").

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

cc-by-4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Inferential-Strategies

1 variant name, as the archive lists them.

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