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Create a dataset loader for CRAFT #60
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#self-assign |
Hi @uzaymacar, can you let us know if you are still working on this so we can update our project board? Please just notify us the status by Friday April 8, no worries if you are not finished but intend to work on this. Please either ping me here at @hakunanatasha or ping the discord admins (with @admins) |
Hey @hakunanatasha, yes I am still working on this! I am planning to follow up with a PR by mid-next week. |
@uzaymacar awesome! Feel free to ping me here, via your PR, or on the discord for help! I'm looking forward to your submission 🌸 |
#self-assign |
#self-assign |
@jason-fries There's multiple versions of this. I'm using 5.0.0, which is the latest one |
SGTM -- just make certain the versioning is reflected in the data loader metadata. |
Hi @jason-fries @galtay @ruisi-su
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@shamikbose Are you still working on that? |
@mariosaenger This is already implemented as a local dataset in #681 It's awaiting review |
* Initial commit Issues with `download_and_extract()` * Use this version of craft.py to debug Updated to show the code which was being run earlier. Format is "CRAFT-5.0.0\concept-annotation\key\key" * Removed print statements out of shame * Implemented as a local dataset - Passes all tests - Warnings logged for multiple annotations * Can be loaded with `load_datasets()`. Passes all tests General changes: - Updated paths to use `os.path.join()` to make it platform-agnostic MONDO specific changes: - Specific ways to read annotations - Specific ways to find corresponding annotations * Update craft.py * Update craft.py _PUBMED set to True * refactor: Refactor and improve implementation of CRAFT to hub-style integration * Fix license key --------- Co-authored-by: Mario Sänger <[email protected]> Co-authored-by: Florian Borchert <[email protected]>
Closed by #681 |
Colorado Richly Annotated Full-Text (CRAFT) Corpus
https://github.com/UCDenver-ccp/CRAFT
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