CoolFace
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atahanuz/setimes-en-tr-aligned-corpus-model-answers

SETimes EN-TR — Model Answers (Test Set) Translation outputs from two NMT architectures (a Transformer and an RNN seq2seq) on the 1,000-sentence test split of the SETimes EN-TR aligned corpus. Both models were trained on the same data with a joint 32k BPE vocabulary, and each was run in both directions (Turkish→English and English→Turkish). Each row pairs the human reference translations with all four model hypotheses, so the file is self-contained for re-scoring. 1,000… See the full description on the dataset page: https://huggingface.co/datasets/atahanuz/setimes-en-tr-aligned-corpus-model-answers.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
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ab16d8e4mo ago

Add model answers test set with results

atahanuz
0b656064mo ago

initial commit

atahanuz