Datasets:

Modalities:
Text
Formats:
json
Libraries:
Datasets
pandas
License:
PLSemanticsBench / README.md
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---
license: cc-by-2.0
configs:
- config_name: pep-k
data_files: "dataset-pep-uk-IMP-SOS.jsonl"
- config_name: pep-mk
data_files: "dataset-pep-mk-IMP-SOS.jsonl"
- config_name: pop
data_files: "dataset-pop-nk-IMP-SOS.jsonl"
- config_name: pop-k
data_files: "dataset-pop-uk-IMP-SOS.jsonl"
- config_name: pop-mk
data_files: "dataset-pop-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
```python
from datasets import load_dataset
# load the pep dataset with standard semantics
pep_uk = load_dataset("EngineeringSoftware/Neurips25", "pep-k")
```