askem-ta1-datamodel's People
askem-ta1-datamodel's Issues
Add full sentence to provenance info
This will make it easier to debug the information for quality purposes
Implement scenario context
Add temporal and location context to the data models and importers
Processing plain text files outputs from SKEMA TR crashes the importer
Fix this issue.
Indent serialized json outputs
For easier human consumption, export json files with indentation
import_arizona() does not work on the latest Arizona extraction standardized_extractions_documents_5Feb1-s2.0-S2211379721005490-main--COSMOS-data.json
I paste the head sample of the latest Arizona extraction (format A) for 1-s2.0-S2211379721005490-main. This is totally different from the format of extraction sample (format B). I was wondering how to convert from A to B?
{ "variable_statements": [ { "id": "R:-1804348017", "variable": { "name": "LV", "metadata": [], "dkg_groundings": [], "column": [], "paper": { "id": "1-s2.0-S2211379721005490-main.pdf", "file_directory": "1-s2.0-S2211379721005490-main.pdf", "doi": "" }, "equations": [] }, "value": { "value": "LotkaVolterra", "type": "description", "dkg_grounding": null }, "metadata": [ { "type": "text_span", "value": "LotkaVolterra (LV" }, { "type": "cosmos_location", "value": "1,11,2185,2202" }, { "type": "scenario_location", "value": "V. Volterra" }, { "type": "scenario_location", "value": "Lotka-Volterra" } ], "provenance": { "method": "SKEMA", "description": "SKEMA text reading pipeline v0.5" } },
Descriptions and SpecValues missing from output
The output json files are not keeping the descriptions and spec values. Fix it and make sure it appears in the merged output
Automatically build and upload image to DockerHub
Configure GitHub's actions to trigger a build and upload of docker image to Lum's Docker Hub account upon merging to main
.
`text_descriptions` and `value_descriptions` not imported correctly by `import_arizona`
Support for Python 3.8
The current state of the code requires python >= 3.9. To bundle this up with the SKEMA services, we need to make it work on python 3.8
include evaluation metric functions in this repo
We would benefit form using the extraction metrics functions directly in our code,
We have some internal tests we run and itβs good for our testing to be able to run without depending on a live service.
It would also help us quickly understand any errors we may trigger (which is harder when using an API) and then work around them.
We're happy to contribute any other changes/variations etc to that function back into this repo.
Fix page and block indices in output
Currently, the indices are always set to 0
. It should carry the correct values from the Skema output json file
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