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aieng-lab/en-pronouns

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Permissive or share-alike

The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at 8f20c12
Licence files: No licence file at the top level of the repositoryEvidence: file list at 8f20c12
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{drechsel-herbold-2026-gradiend,
    title = "The {GRADIEND} Python Package: An End-to-End System for Gradient-Based Feature Learning",
    author = "Drechsel, Jonathan  and
      Herbold, Steffen",
    editor = "Agrawal, Sweta  and
      Abad, Alberto",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-demos.18/",
    doi = "10.18653/2026.emnlp-demos.18",
    pages = "189--198",
    ISBN = "979-8-89176-461-3",
    abstract = "We present `gradiend{`}, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and CLM gradients in language models. The package provides a unified workflow for feature-related data creation, training, evaluation, visualization, persistent model rewriting via controlled weight updates, and multi-feature comparison. We demonstrate `gradiend{`} through an English pronoun running example, a semantic sentiment use case that evaluates lexical generalization to held-out target words, and a large-scale feature comparison."
}

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dataset_licence({ "id": "aieng-lab/en-pronouns" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0