Upload folder using huggingface_hub

.dvc/.gitignore

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+/config.local
+/tmp
+/cache

.dvc/config

@@ -0,0 +1,6 @@
+[cache]
+    dir = /data/dvc-cache/FintoAI-data-YSO
+    shared = group
+    type = symlink
+[core]
+    autostage = true

.dvcignore

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+# Add patterns of files dvc should ignore, which could improve
+# the performance. Learn more at
+# https://dvc.org/doc/user-guide/dvcignore
+*.pdf

.gitignore

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+venv
+venv-installed

LICENSE

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+Creative Commons Legal Code
+
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README.md

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+---
+license: cc0-1.0
+language:
+- fi
+- sv
+- en
+pipeline_tag: text-classification
+thumbnail: https://raw.githubusercontent.com/NatLibFi/FintoAI/main/ai.finto.fi/static/img/finto-ai-social.png
+tags:
+- glam
+- lam
+- subject indexing
+- annif
+---
+# FintoAI-data-YSO
+This repository is for the Annif projects with the
+[YSO vocabulary](https://finto.fi/yso)
+used at the [Finto AI service](https://ai.finto.fi/).
+The current models were published there 2023-09-04.
+The models have been trained on Python 3.8.10 with [Annif](https://annif.org) version 1.0.0.
+See [projects.toml](projects.toml) for the configurations of the models.
+
+This repository is mirrored from GitHub to the 🤗 Hugging Face Hub;
+the GitHub repository does not contain the model files, but only the configurations for the projects and the DVC pipeline, see below.
+
+The training corpora that are public can be found from the [Annif-corpora repository](https://github.com/NatLibFi/Annif-corpora/).
+
+The [notebook](/repository-metrics-analysis/analyse-theseus-tietolinja.ipynb) contains analysis of Annif suggestions in [Theseus repository](https://www.theseus.fi/).
+
+## Models
+The downloadable directories for projects and vocabularies are stored in the
+[`/data`](https://huggingface.co/juhoinkinen/FintoAI-data-YSO/tree/main/data)
+directory of this repository in the 🤗 Hugging Face Hub.
+
+## DVC pipeline
+The projects are trained and evaluated using a [DVC (Data Version Control) pipeline](https://dvc.org/doc/start/data-management/data-pipelines) defined in [dvc.yaml](./dvc.yaml).
+
+The pipeline takes care of
+
+1. installing Annif in a venv,
+2. loading the vocabulary,
+3. training the projects,
+4. evaluating the projects.
+
+When the necessary vocabulary and training corpora are in place the pipeline can be run using the command
+
+    dvc repro
+
+For more information about using DVC with Annif projects see the [DVC exercise of Annif tutorial](https://github.com/NatLibFi/Annif-tutorial/blob/master/exercises/OPT_dvc.md).

corpora/.gitignore

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corpora/fulltext-test/en/.gitignore

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