moinnadeem/StereoSet
StereoSet: Measuring stereotypical bias in pretrained language models
This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).
Appears on
Quick read
Latest capture 2026-11-09 09:50
Compare the starting count and capture dates, not just the percentage. How to read GitHub star growth. Missing history is not zero growth.
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
1 observed capture since 2026-11-09. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
StereoSet: Measuring stereotypical bias in pretrained language models
Repository for research in the field of Responsible NLP at Meta.
P2PCLAW: Training Dataset for Autonomous Scientific Peer Review - Apache 2.0
A collaborative project to collect datasets in SEA languages, SEA regions, or SEA cultures.
Measuring Massive Multitask Language Understanding | ICLR 2021
CAJAL — Local scientific paper generator. Qwen 27B fine-tuned for academic writing. AI Tribunal peer review. 6x4 CognitionBoard. 2.7x token compression. Runs offline on RTX 3090. Apache 2.0.