Update README.md

Mentioning Gronings in the readme to stimulate digital support. It has been an official regional language of the Netherlands since the nineties - 30 years ago! High time to give it some digital support.
I hope that it will eventually be added to Google Translate.

README.md

@@ -1,3 +1,58 @@
----
-license: cc-by-2.0
----
+---
+license: cc-by-2.0
+language:
+- nl
+- en
+- de
+- es
+- gos
+task_categories:
+- translation
+tags:
+- linguistics
+- language
+- machine_translation
+- machine-translation
+- translation
+- tatoeba
+pretty_name: Upload of 21 December 2024 version of Tatoeba dataset.
+size_categories:
+- 10M<n<100M
+---
+
+I would recommend anyone to download the most recent version of the files [directly from Tatoeba](https://tatoeba.org/downloads). 
+Since the most recent version of the dataset on huggingface is already quite old, I uploaded today's versions of the Tatoeba sentences. I uploaded the full dataset, as well as some files for some individual languages that I happen to speak. Honorable mention to Gronings, language code gos.
+
+Example code to download the most recent version of the Tatoeba dataset:
+```
+import requests
+
+with open("downloadlinks.txt") as file:
+    for link in file:
+        link = link.strip()
+        if link:
+            response = requests.get(link)
+            open(link.split("/")[-1], "wb").write(response.content)
+```
+Where `downloadlinks.txt` could contain something like:
+```
+https://downloads.tatoeba.org/exports/links.tar.bz2
+https://downloads.tatoeba.org/exports/per_language/eng/eng_sentences.tsv.bz2
+https://downloads.tatoeba.org/exports/per_language/gos/gos_sentences.tsv.bz2
+https://downloads.tatoeba.org/exports/per_language/nld/nld_sentences.tsv.bz2
+https://downloads.tatoeba.org/exports/sentences_detailed.tar.bz2
+https://downloads.tatoeba.org/exports/sentences.tar.bz2
+```
+Here's some more code to help you get started, linking the sentences. Assuming you've downloaded the files:
+```
+import pandas as pd
+lang1 = "eng"
+lang2 = "gos"
+
+lang1_sentences = pd.read_csv(f"{lang1}_sentences.tsv.bz2", sep="\t", header=None, names=["id", "language", lang1])
+lang2_sentences = pd.read_csv(f"{lang2}_sentences.tsv.bz2", sep="\t", header=None, names=["id", "language", lang2])
+link_sentences = pd.read_csv("links.tar.bz2", sep="\t", header=None, names=["origin", "translation"])
+
+df_parallel = link_sentences.merge(lang1_sentences, left_on="origin", right_on="id").merge(lang2_sentences, left_on="translation", right_on="id")[["origin", "translation", lang1, lang2]]
+print(df_parallel)
+```