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General:  academic Type:  dataset Data Domain:  nlp Integration:  dvc git github
Michael Ekstrand 3305e9312a
update deps
1 month ago
09ac7d2ad9
remove piret remote
5 months ago
fef637d370
Use dedicated doc environment for doc build
3 months ago
a06718dede
More spelling updates
1 month ago
9f8cf23217
rerun with new data
1 month ago
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rerun with new data
1 month ago
83aa3e69cf
rerun with reviews
3 months ago
9f8cf23217
rerun with new data
1 month ago
bx
1353fa1faa
render pipeline with python
2 months ago
9f8cf23217
rerun with new data
1 month ago
a06718dede
More spelling updates
1 month ago
f12cbd627a
move exploration
4 months ago
9f8cf23217
rerun with new data
1 month ago
5f1b7c5a2c
Merge branch 'datafusion' into review-fusion
2 years ago
9f8cf23217
rerun with new data
1 month ago
9f8cf23217
rerun with new data
1 month ago
5f1b7c5a2c
Merge branch 'datafusion' into review-fusion
2 years ago
src
3305e9312a
update deps
1 month ago
9f8cf23217
rerun with new data
1 month ago
6fb8097826
implement pipeline in jsonnet
4 months ago
1 year ago
aa1bbbb73d
update history pages
1 month ago
3ade0c2a2d
drop plumber TCL
4 months ago
3305e9312a
update deps
1 month ago
3305e9312a
update deps
1 month ago
9f8cf23217
rerun with new data
1 month ago
f871998d58
abstract notebook and re-introduce irkernel
3 months ago
e082850240
a number of documentation changes for rust
2 years ago
9f8cf23217
rerun with new data
1 month ago
dc46269865
Better chart labels
4 months ago
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2704b764ad
no freeze
3 months ago
a00c157687
update conda lock
1 month ago
cd860b8bdf
generate data/dvc.yaml
1 month ago
1839b4f2b0
Remove separate full & simple GoodReads data
2 months ago
9f8cf23217
rerun with new data
1 month ago
e87b7bfe1f
fix gr-users
2 months ago
1353fa1faa
render pipeline with python
2 months ago
e7c9a8c921
fix jsonnet
3 months ago
1353fa1faa
render pipeline with python
2 months ago
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README.md

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This repository contains the code to import and integrate the book and rating data that we work with. It imports and integrates data from several sources in a homogenous tabular outputs; import scripts are primarily Rust, with Python implement analyses.

If you use these scripts in any published research, cite our paper (PDF):

Michael D. Ekstrand and Daniel Kluver. 2021. Exploring Author Gender in Book Rating and Recommendation. User Modeling and User-Adapted Interaction (February 2021) DOI:10.1007/s11257-020-09284-2.

We also ask that you contact Michael Ekstrand to let us know about your use of the data, so we can include your paper in our list of relying publications.

Note: the limitations section of the paper contains important information about the limitations of the data these scripts compile. Do not use the gender information in this data data or tools without understanding those limitations. In particular, VIAF's gender information is incomplete and, in a number of cases, incorrect.

In addition, several of the data sets integrated by this project come from other sources with their own publications. If you use any of the rating or interaction data, cite the appropriate original source paper. For each data set below, we have provided a link to the page that describes the data and its appropriate citation.

See the documentation site for details on using and extending these tools.

This project uses submodules — clone with git clone --recursive.

Running Everything

The dependencies are declared in environment.yml, in a format suitable for use with conda-lock. We also provide a lockfile for reproducible dependencies; to install the environment, run:

conda-lock install -n bookdata conda-lock.yml

You can run the entire import process with:

dvc repro

To regenerate or update the lockfiles, run:

conda lock -f environment.yml

Copyright ⓒ 2020–2022 Boise State University. Distributed under the MIT License; see LICENSE.md. This material is based upon work supported by the National Science Foundation under Grant No. IIS 17-51278. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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About

This repository contains the code to import and integrate the book and rating data that we work with. It imports and integrates data from several sources in a homogenous tabular outputs; import scripts are primarily Rust, with Python implement analyses.

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