Datasets:

Modalities:
Text
Formats:
json
Libraries:
Datasets
pandas
License:
PLSemanticsBench / README.md
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metadata
license: cc-by-2.0
configs:
  - config_name: pep-k
    data_files: dataset-pcp-uk-IMP-SOS.jsonl
  - config_name: pep-mk
    data_files: dataset-pcp-mk-IMP-SOS.jsonl
  - config_name: pop
    data_files: dataset-op-nk-IMP-SOS.jsonl
  - config_name: pop-k
    data_files: dataset-op-uk-IMP-SOS.jsonl
  - config_name: pop-mk
    data_files: dataset-op-mk-IMP-SOS.jsonl
  - config_name: srp-k
    data_files: dataset-srp-uk-IMP-SOS.jsonl
  - config_name: srp-mk
    data_files: dataset-srp-mk-IMP-SOS.jsonl
  - config_name: etp-k
    data_files: dataset-etp-uk-IMP-SOS.jsonl
  - config_name: etp-mk
    data_files: dataset-etp-mk-IMP-SOS.jsonl

Overview

There are 9 subsets:

  • PEP with standard (pep-k) and nonstandard semantics (pep-mk)
  • POP no semantics (pop), with standard (pop-k) and nonstandard semantics (pop-mk)
  • SRP with standard (srp-k) and nonstandard semantics (srp-mk)
  • ETP with standard semantics (etp-k) and nonstandard semantics (etp-mk).

Usage

from datasets import load_dataset
# load the pep dataset with standard semantics
pep_uk = load_dataset("EngineeringSoftware/Neurips25", "pep-k")