text_1 stringlengths 1 2.44k | lang_1 stringclasses 25
values | embedding_1 list | text_2 stringlengths 1 4.8k | lang_2 stringclasses 31
values | embedding_2 list |
|---|---|---|---|---|---|
– Vi vil prioritere utdanning for jenter, seier han, og varslar ein eiga stortingsmelding om dette arbeidet. (©NPK) | nno_Latn | [
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... | – Vi vil prioritere utdanning for jenter, sier han, og varsler en egen stortingsmelding om dette arbeidet. (©NTB) | nob_Latn | [
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-... |
Bakarvarer er det som Noreg importerer mest av. | nno_Latn | [
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0.0054661994799... | Bakervarer er det som Norge importerer mest av. | nob_Latn | [
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0.009210932999849... |
asísì | fon_Latn | [
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... | co | fra_Latn | [
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-0.00069642643211409... |
Ɛkame ayɛ sɛ mfaso biara nni nsɛm asekyerɛ nhoma yi so. | aka_Latn | [
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0.0038931991439... | This dictionary is nearly useless. | eng_Latn | [
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0.0028209416195750... |
Rapporten munnar ut i konkrete forslag til endringar i barnevernslova. (©NPK) | nno_Latn | [0.003317855764180422,-0.011073114350438118,-0.0031699715182185173,-0.006191994063556194,-0.01646203(...TRUNCATED) | Rapporten munner ut i konkrete forslag til endringer i barnevernsloven. (©NTB) | nob_Latn | [-0.004544611554592848,-0.010978265665471554,-0.0015189045807346702,-0.004497706890106201,-0.0074139(...TRUNCATED) |
"In 2002, geneticists at the Australian Museum announced that they had replicated DNA of the thylaci(...TRUNCATED) | eng_Latn | [-0.0014345782110467553,0.0020530810579657555,-0.017633773386478424,0.01158690545707941,-0.001971095(...TRUNCATED) | "မိူဝ်ႈၼႂ်းပီႊ 2002 ၼၼ်ႉ ၽူႈႁူႉမေႃပၢႆး(...TRUNCATED) | shn_Mymr | [-0.01544015109539032,-0.0010064549278467894,-0.01893855445086956,-0.0015464683528989553,-0.00881475(...TRUNCATED) |
"– Eg skal berre fokusere på å køyre mitt eige løp og gjere alt eg kan, så får vi sjå kva s(...TRUNCATED) | nno_Latn | [-0.006204209290444851,-0.003720747074112296,0.003568541957065463,-0.0062266383320093155,-0.00793840(...TRUNCATED) | "– Jeg skal bare fokusere på å kjøre mitt eget løp og gjøre alt jeg kan, så får vi se hva s(...TRUNCATED) | nob_Latn | [-0.0055270446464419365,0.0022855147253721952,0.006138492841273546,-0.006650739815086126,-0.00635475(...TRUNCATED) |
Ingen avtale eg kjenner til er det. | nno_Latn | [-0.0003229077847208828,0.0012186052044853568,0.004460245370864868,0.00004276982508599758,0.00664734(...TRUNCATED) | Ingen avtale jeg kjenner til er det. | nob_Latn | [-0.0012938028667122126,0.0050851027481257915,0.0044551752507686615,0.001983888214454055,0.005689834(...TRUNCATED) |
Iterating tetration leads to another operation, and so on, a concept named hyperoperation. | eng_Latn | [-0.004137612413614988,0.0029542148113250732,-0.011287040077149868,-0.0051811859011650085,-0.0058657(...TRUNCATED) | "Ripeti la tetrazion al puarte a une altre operazion, e vie cussì, un concet clamât iperoperazion.(...TRUNCATED) | fur_Latn | [-0.000910054543055594,-0.003014586865901947,-0.005784712731838226,0.0014472875045612454,0.001716402(...TRUNCATED) |
Det danske lyntoget skal ha blitt treft av delar frå eit godstog lasta med tomme ølflasker. | nno_Latn | [0.012730815447866917,0.005389745347201824,-0.011721045710146427,-0.020491957664489746,0.00552521087(...TRUNCATED) | Det danske lyntoget skal ha blitt truffet av deler fra et godstog lastet med tomme ølflasker. | nob_Latn | [0.009131879545748234,0.005694841966032982,-0.010579255409538746,-0.014226175844669342,0.00942019280(...TRUNCATED) |
End of preview. Expand in Data Studio
What happened to the original dataset? We preprocess the public data and NLLB-Seed, except:
aaudataset becauseormlanguage is not supported by the SONAR modelhornmtdataset becauseormandaarlanguages are not supported by the SONAR modelmburisanodataset becausendeandvenlanguages are not supported by the SONAR modelticodataset because theormlanguage is not supported by the SONAR modelumsukadataset. This is not processed by mistakexhosa_navydataset because the download URL for the dataset in thedownload_parallel_corpora.pyis invalidindic_nlpdataset because the total size is about ~11M pairs, which translate to about ~84 GBtildataset because the total size is about ~80.6M pairs, which translates to about ~615 GB
Note: New dataset which includes the mentioned dataset above can be downloaded here
What are the use cases?
- Training a model with embeddings as input. For example, training a Sparse Autoencoder. This saves computation because we do not need to load the encoder during training. Also, we do not need to cache the encoder's output on-the-fly
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