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MeetKai Inc.
MK-SQuIT
Container
MeetKai Inc.
MK-SQuIT

SQuIT (Synthesizing Questions using Iterative Template-Filling) is a generated dataset produced with little human intervention. This container provides several tutorial applications - an interactive dataset explorer, a walkthrough of the generation pipeline, and a demonstration using NeMo to fine tune and evaluate a model on the dataset.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
["-c" "jupyter lab  --notebook-dir=/mk_squit --ip=0.0.0.0 --no-browser --allow-root --port=8888 --NotebookApp.token='' --NotebookApp.password='' --NotebookApp.allow_origin='*' --NotebookApp.base_url=${NB_PREFIX}"]
11/06/2020 3:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/bin/sh
11/06/2020 3:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4WORKDIR
/mk_squit
11/06/2020 3:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4EXPOSE
6006
11/06/2020 3:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4EXPOSE
8888
11/06/2020 3:31 AM UTC
sha256:b47af93eb974b4e2221b81c345a7e52a0eeebfa9ae1758588e28fbc5cc7f721dCOPY
dir:7eae787ac74bfc742ba60a090178fcabc7dd87e7c3dfd6c7602893c20671b6a0 in /root/.jupyter/lab/workspaces
11/06/2020 3:31 AM UTC
sha256:9d4105a3b6ea4d5e7a6cbd1e17f4eec184f3f40332d39bc92b3c3c2c8920d14bCOPY
dir:a82bb67ef3f86b3db9745030243c24962dd97f08dcadd0dc0d6e7e1db3f92028 in /mk_squit
11/06/2020 3:31 AM UTC
sha256:29d59f3714f1e2729da249f89227ebe2923e16797023c75e077f1dad8659aedfRUN
jupyter lab build
10/30/2020 5:40 AM UTC
sha256:78806fb8eacc0e269ab34de522bf5238a795008a5de1f945c318d079817924b7RUN
jupyter labextension install jupyterlab-nvdashboard
10/30/2020 5:40 AM UTC
sha256:42bc6d5c683de751534a79273b62b3dee76c914255e3aadd110cd05603464de4RUN
jupyter labextension install @jupyter-widgets/jupyterlab-manager
10/30/2020 5:39 AM UTC

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