https://github.com/searchivarius/inpars_light
Scripts to reproduce InPars light paper
https://github.com/searchivarius/inpars_light
Last synced: about 1 month ago
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Scripts to reproduce InPars light paper
- Host: GitHub
- URL: https://github.com/searchivarius/inpars_light
- Owner: searchivarius
- License: apache-2.0
- Created: 2023-02-21T01:02:54.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-31T09:28:32.000Z (3 months ago)
- Last Synced: 2025-03-17T18:19:57.184Z (about 2 months ago)
- Homepage:
- Size: 11.7 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Instructions
Currently everything comes as a single tar.bal, which contains:
1. Scripts, which require [FlexNeuart](https://github.com/oaqa/FlexNeuART)
2. Queries generated using LLMs.
3. Training data produced with and without consistency checking.
We currently do not have bandwidth to provide a generic detailed description, we would be happy to address any specific questions about the code/scripts, generated data, etc.
Download and unpack the file https://pub-71500f89ec1d42fd99b0e7f7a8cceaa4.r2.dev/inpars_repro.tar.bz2 (Warning: 3GB) untar it and read README.txt.