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README.md
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The request collects the bibliographic records of the SHS articles with abstract published between 2013 and 2023
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The parameters passed in the url request are :
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https://api.archives-ouvertes.fr/search/UNIV-COTEDAZUR/?q=docType_s:ART&fq=abstract_s:[%22%22%20TO%20*]&fq=domain_s:*shs*&fq=publicationDateY_i:[2013%20TO%202023]&fl=doiId_s,uri_s,title_s,subTitle_s,authFullName_s,producedDate_s,journalTitle_s,journalPublisher_s,abstract_s,domain_s,openAccess_bool
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The embeddings corpus stores the embeddings of the "combined" column values converted in vectors with the sentence-transformers/all-MiniLM-L6-v2 embeddings model.
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## Metadata extraction
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The hal_data.csv dataset comes from a request on the HAL API (the French national open archive) limited to the UNIV-COTEDAZUR portal instance.
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The request collects the bibliographic records of the SHS articles with abstract published between 2013 and 2023
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The parameters passed in the url request are :
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https://api.archives-ouvertes.fr/search/UNIV-COTEDAZUR/?q=docType_s:ART&fq=abstract_s:[%22%22%20TO%20*]&fq=domain_s:*shs*&fq=publicationDateY_i:[2013%20TO%202023]&fl=doiId_s,uri_s,title_s,subTitle_s,authFullName_s,producedDate_s,journalTitle_s,journalPublisher_s,abstract_s,domain_s,openAccess_bool
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The embeddings corpus hal_embeddings.pkl stores the embeddings of the "combined" column values converted in vectors with the sentence-transformers/all-MiniLM-L6-v2 embeddings model.
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## Metadata extraction
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