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license: apache-2.0
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# Goodtriever

This repository contains datasets and model generations from the `Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models` paper, published as a conference paper on EMNLP 2023.

[[Paper]]()[[Code]]()[[Data]](https://huggingface.co/datasets/luizapzbn/goodtriever-data)

- `data`: prompts and datasets used for datastore creation.
    - `continual_mitigation`: clustered WILDS data and prompts
    - `datastore_quality`: for the experiments on how automatic labeling impacts mitigation results
    - `jigsaw`: main dataset, jigsaw unintended bias
- `outputs`: model generations and results for all experiments from the paper.
    - `alpha_temperature`
    - `datastore_quality`
    - `datastore_size`
    - `k_neighbors`
    - `model_families` (and main table results)


# Citation