This release is the simplified version of FLD where a model is required to predict only an answer.
This release is the simplified version of FLD where a model is required to predict only an answer.
This setting is described by "answer accuracy" in the original paper.
This setting is described by "answer accuracy" in the original paper.
#### Tasks in Group `fld`
*`fld_default` is a basic task based on [FLD.v2](https://huggingface.co/datasets/hitachi-nlp/FLD.v2/viewer/star)
*`fld_default` is a basic task based on [FLD.v2](https://huggingface.co/datasets/hitachi-nlp/FLD.v2/viewer/star)
*`fld_star`: is a more challenging version based on [FLD.v2-star](https://huggingface.co/datasets/hitachi-nlp/FLD.v2/viewer/star)
*`fld_star`: is a more challenging version based on [FLD.v2-star](https://huggingface.co/datasets/hitachi-nlp/FLD.v2/viewer/star)
#### Tasks in Group `fld_logical_formula`
Further, we have "logical formula" versions of the benchmarks, which evaluate LLMs' pure logical reasoning capabilities within the domain of logical formulas, rather than natural language:
*`fld_logical_formula_default`
*`fld_logical_formula_fld_star`
### Checklist
### Checklist
For adding novel benchmarks/datasets to the library:
For adding novel benchmarks/datasets to the library: