semcor / README.md
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---
dataset_info:
features:
- name: inputs
dtype: string
- name: choices_list
list: string
- name: labels
dtype: int64
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 218023276
num_examples: 190865
download_size: 166658363
dataset_size: 218023276
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: other
source_datasets:
- thesofakillers/SemCor
---
# semcor
SemCor native sense keys joined to the matching Princeton WordNet 1.6 glosses.
Original distribution: https://wordnet.princeton.edu/semcor.
Pinned faithful CSV copy: https://huggingface.co/datasets/thesofakillers/SemCor.
Uses only one native gold sense and at least two distinct lemma/POS senses;
unresolved keys, multiple senses and ambiguous duplicate glosses are excluded.
All Brown sections remain training-only, not fabricated evaluation partitions.
Terms: original Princeton WordNet/SemCor license; see upstream LICENSE.
Original data: [thesofakillers/SemCor](https://huggingface.co/datasets/thesofakillers/SemCor), [original distribution](https://wordnet.princeton.edu/semcor). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/linguistic.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/linguistic.py#L91).
[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.