Datasets › Inferential-Strategies
Inferential-Strategies
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
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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