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01wmt /wmt16 Dataset Card for "wmt16" Dataset Summary Warning: There are issues with the Common Crawl corpus data (training-parallel-commoncrawl.tgz): Non-English files contain many English sentences. Their "parallel" sentences in English are not aligned: they are uncorrelated with their counterpart. We have contacted the WMT organizers, and in response, they have indicated that they do not have plans to update the Common Crawl corpus data. Their rationale pertains… See the full description on the dataset page: https://huggingface.co/datasets/wmt/wmt16.texttranslation1M<n<10M27 likes5.5k downloads2y agoHugging Face02qanastek /WMT-16-PubMedWMT'16 Biomedical Translation Task - PubMed parallel datasets http://www.statmt.org/wmt16/biomedical-translation-task.htmltexttranslation100K<n<1M6 likes262 downloads4y agoHugging Face03ExpertFlowPredictor /wmt16_Qwen3-30B-A3B_moe_patternstext10K<n<100K0 likes181 downloads11mo agoHugging Face04enimai /MuST-C-and-WMT16-de-entext1M<n<10M0 likes116 downloads4y agoHugging Face05Lvxue /wmt16text1M<n<10M0 likes49 downloads4y agoHugging Face06stas /wmt16-en-ro-pre-processed WMT16 English-Romanian Translation Data w/ further preprocessing The original instructions are here. This pre-processed dataset was created by running: git clone https://github.com/rsennrich/wmt16-scripts cd wmt16-scripts cd sample ./download_files.sh ./preprocess.sh It was originally used by transformers finetune_trainer.py The data itself resides at https://cdn-datasets.huggingface.co/translation/wmt_en_ro.tar.gz If you would like to convert it to jsonlines I've included a small… See the full description on the dataset page: https://huggingface.co/datasets/stas/wmt16-en-ro-pre-processed.text100K<n<1M0 likes44 downloads6y agoHugging Face07marsggbo /wmt16_qwen1.5MoEA2.7B_token_patternstext10K<n<100K0 likes37 downloads1y agoHugging Face08boun-tabilab /Wmt16-TR Dataset Card for Wmt16-TR Dataset Description Wmt16-TR is originally released by TR-MTEB group. Dataset Structure We kept the original data structure. Data Fields anchor (string): A context passage in Turkish. positive (string): The anchor's "parallel" sentences in English. Source Dataset hf.co/trmteb/wmt16_en_tr_fine_tuning_dataset text100K<n<1M0 likes34 downloads9mo agoHugging Face09trmteb /wmt16_en_trtext100K<n<1M0 likes33 downloads1y agoHugging Face10marsggbo /wmt16_qwen1.5MoEA2.7B_token_real_and_predicted_patterns_t5-smalltext10K<n<100K0 likes33 downloads1y agoHugging Face11S3IC /wmt16_de_en WMT16_DE_EN This repository hosts a copy of the WMT16 DE-EN dataset, a parallel corpus used for training and evaluating machine translation systems, specifically focused on the German-English language pair. WMT16 (Workshop on Machine Translation) DE-EN is part of a larger set of datasets used in the annual WMT machine translation competition. It contains a large collection of sentence pairs in German and their corresponding English translations, often used for evaluating models on… See the full description on the dataset page: https://huggingface.co/datasets/S3IC/wmt16_de_en.texttranslation1K<n<10K0 likes27 downloads9mo agoHugging Face12ExpertFlowPredictor /wmt16_deepseek-moe-16b-chat_moe_patternstext1K<n<10K0 likes26 downloads11mo agoHugging Face13madaanpulkit /wmt16_sentence_lang_en Dataset Card for "wmt16_sentence_lang_en" More Information needed text1M<n<10M0 likes25 downloads3y agoHugging Face14autoevaluate /autoeval-eval-wmt16-cs-en-ba4e67-42154145091 Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: Task: Translation Model: Lvxue/finetuned-mt5-small-10epoch Dataset: wmt16 Config: cs-en Split: train To run new evaluation jobs, visit Hugging Face's automatic model evaluator. Contributions Thanks to @DarkSourceOfCode for evaluating this model. text100K<n<1M0 likes25 downloads3y agoHugging Face15trmteb /wmt16_en_tr_fine_tuning_datasettext100K<n<1M0 likes25 downloads1y agoHugging Face16andreiaalexa /wmt16-en-ro-extracted WMT16 English-Romanian Extracted This dataset is an extracted English-to-Romanian version of the WMT16 Romanian-English dataset available through Hugging Face Datasets. The original dataset is loaded from: load_dataset("wmt/wmt16", "ro-en") texttranslation100K<n<1M0 likes25 downloads4mo agoHugging Face17autoevaluate /wmt16-sampletextn<1K0 likes23 downloads4y agoHugging Face18autoevaluate /autoeval-eval-wmt16-cs-en-110a70-42155145092 Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: Task: Translation Model: Lvxue/finetuned-mt5-small-10epoch Dataset: wmt16 Config: cs-en Split: train To run new evaluation jobs, visit Hugging Face's automatic model evaluator. Contributions Thanks to @DarkSourceOfCode for evaluating this model. text100K<n<1M0 likes21 downloads3y agoHugging Face19tkj000 /wmt16_Qwen1.5-MoE-A2.7B-Chat_token_patternstext1K<n<10K0 likes21 downloads1y agoHugging Face20selmanbaysan /wmt16_en_tr_fine_tuning_datasettext100K<n<1M0 likes19 downloads2y agoHugging Face21Sandipan1994 /wmt16_sentence_lang Dataset Card for "wmt16_sentence_lang" More Information needed text1M<n<10M0 likes15 downloads4y agoHugging Face22Lvxue /wmt16_pseudo-labelingtext1M<n<10M0 likes14 downloads4y agoHugging Face23autoevaluate /autoeval-eval-wmt16-de-en-bfa340-42157145094 Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: Task: Translation Model: Lvxue/finetuned-mt5-small-10epoch Dataset: wmt16 Config: de-en Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. Contributions Thanks to @DarkSourceOfCode for evaluating this model. text1K<n<10K0 likes14 downloads3y agoHugging Face24marsggbo /wmt16_mixtral8x7bInstructv0.1_token_patternstext10K<n<100K1 likes14 downloads2y agoHugging Face25marsggbo /wmt16_switch128_token_real_and_predicted_patternsdecode_pattern.shape: (num_layers, num_decoding_steps) predictor_pattern.shape: (num_decoding_steps, num_layers, top3_indices) We need to permute predictor_pattern via: predictor_pattern = predictor_pattern.permute(1,0,2) # (num_layers, num_decoding_steps, top3_indices) text10K<n<100K0 likes13 downloads2y agoHugging Face26tkj000 /wmt16_deepseek-moe-16b-chat_token_patternstext10K<n<100K0 likes12 downloads1y agoHugging Face27marsggbo /wmt16_mixtral8x7bInstructv0.1_token_real_and_predicted_patterns_t5-small_dff2048_dmodel32text10K<n<100K0 likes11 downloads2y agoHugging Face28tkj000 /wmt16_qwen1.5MoEA2.7B_token_patternstextn<1K0 likes11 downloads1y agoHugging Face29marsggbo /wmt16_switch64_token_patternstext10K<n<100K0 likes9 downloads2y agoHugging Face30wmt /wmt16-data0 likes8 downloads6y agoHugging Face

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