grobid-datacat-trainingdata
Training datasets for GROBID sale catalogues models.
https://github.com/datacatalogue/grobid-datacat-trainingdata
Science Score: 44.0%
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✓CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary
Keywords
Repository
Training datasets for GROBID sale catalogues models.
Basic Info
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Metadata Files
README.md
Training datasets for training GROBID sale catalogues models
Each directory of this repository contains datasets created to train GROBID sale catalogues models. Datasets are divided based on where original documents are being kept, and then are organized by authors/auction houses.
Annotated files are in the TEI-XML format.
Naming convention
- BnF files are named with their Gallica ark identifier.
- INHA files are named with their digital identifier ("identifiant numérique") provided in their online notice.
GROBID models
- Segmentation : the segmentation model aims to obtain a high level segmentation of the catalogues.
Data quality
Before being pushed to the main branch, annotated files have at least been proofread once, and are validated with an XSD by a Github action.
Toolbox
This repository also contains a set of tools that can be used on the training sets.
- PDF Preprocessing
- Quality assessment
- XML validity checker (used by a Github action)
Owner
- Name: DataCatalogue
- Login: DataCatalogue
- Kind: organization
- Location: France
- Repositories: 7
- Profile: https://github.com/DataCatalogue
GitHub organization for the research project DataCatalogue (Inria - BnF - INHA).
Citation (CITATION.CFF)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Romary" given-names: "Laurent" orcid: "https://orcid.org/0000-0002-5659-4675" - family-names: "Scheithauer" given-names: "Hugo" orcid: "https://orcid.org/0000-0000-0000-0000" title: "TrainingData" version: 1.0.0 date-released: 2021-12-20 url: "https://https://github.com/DataCatalogue/TrainingData"
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Dependencies
- click ==8.0.4
- lxml ==4.8.0
- JasonEtco/create-an-issue v2.4.0 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- andstor/file-existence-action v1 composite