README.md

metadata

license: other
language:
  - en
task_categories:
  - question-answering
  - text-generation
size_categories:
  - 100K<n<1M

ZsRE

Canonical ZsRE model-editing splits, repackaged as JSON Lines for direct use with datasets.load_dataset("CrowdMind/ZsRE"). The train and test files preserve the source records and fields without synthetic additions.

Splits

• train.jsonl: 163,196 records from the ROME/MEND training split.
• test.jsonl: 19,086 records from the ROME/MEND evaluation split, exposed as test here.

Each row contains subject, src, pred, rephrase, alt, answers, loc, loc_ans, and cond. In this model-editing format, src is the edit prompt, alt is the requested new answer, answers contains the original answer(s), rephrase tests generalization, and loc / loc_ans test locality.

Provenance and license

The split files are from the ROME project data archive (zsre_mend_train.json and zsre_mend_eval.json). The underlying benchmark is ZsRE from Levy et al., “Zero-Shot Relation Extraction via Reading Comprehension”. The source archive makes the data publicly downloadable but does not state a separate data license; this repository therefore does not claim a new license for the data. Please refer to the original sources for terms and attribution.

Citation

@inproceedings{levy-etal-2017-zero,
  title = {Zero-Shot Relation Extraction via Reading Comprehension},
  author = {Levy, Omer and Seo, Minjoon and Choi, Eunsol and Zettlemoyer, Luke},
  booktitle = {Proceedings of the 21st Conference on Computational Natural Language Learning},
  year = {2017}
}