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wisenut-nlp-team
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llama_nmt
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Subset (38)
ch-ko_basic_science
·
37.7k rows
ch-ko_basic_science (37.7k rows)
ch-ko_broadcast (362k rows)
ch-ko_daily_colloquial (600k rows)
ch-ko_food (1.2M rows)
ch-ko_humanities (33.4k rows)
ch-ko_utterance_type (12k rows)
en-ko_basic_science (356 rows)
en-ko_broadcast (121k rows)
en-ko_daily_colloquial (1.2M rows)
en-ko_food (1.2M rows)
en-ko_humanities (2.82k rows)
en-ko_industry_info (640k rows)
en-ko_utterance_type (12k rows)
jp-ko_basic_science (612 rows)
jp-ko_broadcast (360k rows)
jp-ko_daily_colloquial (600k rows)
jp-ko_humanities (738 rows)
jp-ko_utterance_type (12k rows)
ko-ch_basic_science (38.7k rows)
ko-ch_broadcast (600k rows)
ko-ch_daily_colloquial (600k rows)
ko-ch_humanities (33.8k rows)
ko-ch_social_science (1.04M rows)
ko-ch_technoloy_science (1.16M rows)
ko-ch_utterance_type (12k rows)
ko-en_basic_science (358 rows)
ko-en_broadcast (401k rows)
ko-en_daily_colloquial (1.2M rows)
ko-en_humanities (2.97k rows)
ko-en_technoloy_science (1.2M rows)
ko-en_utterance_type (12k rows)
ko-jp_basic_science (623 rows)
ko-jp_broadcast (600k rows)
ko-jp_daily_colloquial (600k rows)
ko-jp_diverse (1.2M rows)
ko-jp_humanities (744 rows)
ko-jp_technoloy_science (123k rows)
ko-jp_utterance_type (12k rows)
Split (1)
train
·
37.7k rows
train (37.7k rows)
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