Datasets:
Upload Tatoeba data, 21 december 2024 version
Browse filesI would recommend anyone to download the most recent version of the files directly from Tatoeba.
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)
```
- deu_sentences.tsv.bz2 +3 -0
- eng_sentences.tsv.bz2 +3 -0
- gos_sentences.tsv.bz2 +3 -0
- links.tar.bz2 +3 -0
- nld_sentences.tsv.bz2 +3 -0
- sentences.tar.bz2 +3 -0
- sentences_detailed.tar.bz2 +3 -0
- spa_sentences.tsv.bz2 +3 -0
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