Upload folder using huggingface_hub

README.md

@@ -11,16 +11,18 @@ tags:
 - annif
 ---
 # FintoAI-data-KAUNO
-This repository is for the Annif projects using the
-[KAUNO vocabulary](https://finto.fi/kauno) 
-at the [Finto AI service](https://ai.finto.fi/).
+This repository is for the Annif projects with the
+[KAUNO vocabulary](https://finto.fi/kauno)
+used at the [Finto AI service](https://ai.finto.fi/).
 The current models were published there 2023-12-04.
 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; 
+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/).
+
 ## Models
 The downloadable directories for projects and vocabularies are stored in the
 [`/data`](https://huggingface.co/juhoinkinen/FintoAI-data-KAUNO/tree/main/data)
@@ -29,7 +31,7 @@ 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 
+The pipeline takes care of
 
 1. installing Annif in a venv,
 2. loading the vocabulary,
@@ -39,5 +41,5 @@ The pipeline takes care of
 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).