From 1c1937c629021d8bcff2a20d9f7fdde9f5ee8cd5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Vil=C3=A9m=20Zouhar?= Date: Fri, 3 May 2024 10:32:36 +0200 Subject: [PATCH] add link to EACL tutorial --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index a110675..8acc1e0 100644 --- a/README.md +++ b/README.md @@ -47,6 +47,8 @@ Once you install from PyPI, you can use the following command to fit an IRT model on the scored predictions of a dataset. For example, if you were to run py-irt with the 4PL model on the scored predictions of different transformer models on the SQuAD dataset, you'd do this: `py-irt train 4pl ~/path/to/dataset/eg/squad.jsonlines /path/to/output/eg/test-4pl/` +Please see the [EACL 2024 IRT4NLP tutorial](https://eacl2024irt.github.io/notebooks/2_IntroToIRT_jupyter.html) which showcases py-irt usage from within Python and not from CLI. + ## FAQ 1. What kind of output should I expect on running the command to train an IRT model?