Synthetic data derived from finepdfs
MultiSynt
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MultiSynt is a collaborative initiative between OpenEuroLLM and EuroLLM focused on developing high-quality multilingual synthetic datasets for language model pretraining. By combining expertise from both organizations, MultiSynt aims to advance the creation of multilingual synthetic training data that supports diverse European languages to enable more inclusive AI development across languages.
models
33
MultiSynt/nemotron-cc-italian-tower9b
Updated
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20
MultiSynt/2B-1TT-tower9b-mixture
Updated
MultiSynt/2B-1TT-native-mixture
Updated
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46
MultiSynt/nemotron-cc-portuguese-opus
Updated
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13
MultiSynt/nemotron-cc-basque-opus
Updated
MultiSynt/nemotron-cc-polish-opus
Updated
MultiSynt/nemotron-cc-polish-tower9b
Updated
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15
MultiSynt/nemotron-cc-french-opus
Updated
MultiSynt/nemotron-cc-french-tower9b
Updated
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16
MultiSynt/nemotron-cc-norwegian-tower9b
Updated
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50
datasets
7
MultiSynt/MT-Nemotron-CC
Viewer
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Updated
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15.6B
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1.1k
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1
MultiSynt/Nemotron-CC-sample-2
Viewer
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Updated
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160M
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26
MultiSynt/MT-HPLT2c
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Updated
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1.76B
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141
MultiSynt/MT-Reasoning
Viewer
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Updated
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82M
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70
MultiSynt/MT-Reasoning-Prompts
Viewer
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Updated
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399M
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19
MultiSynt/nemotron-cc-spanish-opus-qe
Viewer
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Updated
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3.29B
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37
MultiSynt/finepdfs-summaries
Viewer
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Updated
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1.57B
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138
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1