google-research-datasets / seegull
SeeGULL is a broad-coverage stereotype dataset in English containing stereotypes about identity groups spanning 178 countries across 8 different geo-political regions across 6 continents, as well as state-level identities within the US and India.
☆33Updated last year
Alternatives and similar repositories for seegull:
Users that are interested in seegull are comparing it to the libraries listed below
- ☆24Updated 3 months ago
- Resources for cultural NLP research☆86Updated 2 months ago
- A curated list of research papers and resources on Cultural LLM.☆41Updated 6 months ago
- Minimum Bayes Risk Decoding for Hugging Face Transformers☆57Updated 10 months ago
- Code for Multilingual Eval of Generative AI paper published at EMNLP 2023☆68Updated last year
- ☆65Updated last year
- Repository for research in the field of Responsible NLP at Meta.☆198Updated 4 months ago
- ☆44Updated 4 months ago
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆71Updated 7 months ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆126Updated last year
- Multilingual Large Language Models Evaluation Benchmark☆119Updated 7 months ago
- Our open source implementation of MiniLMv2 (https://aclanthology.org/2021.findings-acl.188)☆61Updated last year
- A Multilingual Replicable Instruction-Following Model☆93Updated last year
- Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)☆62Updated 2 years ago
- Code for the ACL 2023 paper: "Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Sc…☆29Updated last year
- Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback☆94Updated last year
- Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages -- ACL 2023☆100Updated 11 months ago
- This repositary hosts my experiments for the project, I did with OffNote Labs.☆10Updated 3 years ago
- Ensembling Hugging Face transformers made easy☆62Updated 2 years ago
- ☆38Updated 11 months ago
- Code and Resources for the paper, "Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries"☆16Updated last year
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆93Updated 2 years ago
- ☆14Updated 11 months ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"