{"url":"/dataset/morphosyntactic-analysis-dataset","name":"Morphosyntactic-analysis-dataset","full_name":null,"description_markdown":"This dataset is for evaluation of morphosyntactic analyzers.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Part-Of-Speech Tagging","url":"/task/part-of-speech-tagging","datasets_with_task":"/datasets/task/part-of-speech-tagging"}],"languages":[],"variants":["Morphosyntactic-analysis-dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/part-of-speech-tagging-on-morphosyntactic","task":"Part-Of-Speech Tagging","dataset_variant":"Morphosyntactic-analysis-dataset","rows":1,"metrics":["BLEX"],"first_row_in_archive_order":{"model":"MyBert","paper":"/paper/towards-deep-learning-models-resistant-to","metrics":{"BLEX":"77.21"},"code_links":[{"title":"cleverhans-lab/cleverhans","url":"https://github.com/cleverhans-lab/cleverhans"},{"title":"openai/cleverhans","url":"https://github.com/openai/cleverhans"},{"title":"tensorflow/cleverhans","url":"https://github.com/tensorflow/cleverhans"},{"title":"MadryLab/mnist_challenge","url":"https://github.com/MadryLab/mnist_challenge"},{"title":"MadryLab/cifar10_challenge","url":"https://github.com/MadryLab/cifar10_challenge"},{"title":"locuslab/convex_adversarial","url":"https://github.com/locuslab/convex_adversarial"},{"title":"ndb796/pytorch-adversarial-training-cifar","url":"https://github.com/ndb796/pytorch-adversarial-training-cifar"},{"title":"locuslab/robust_overfitting","url":"https://github.com/locuslab/robust_overfitting"},{"title":"zjfheart/Friendly-Adversarial-Training","url":"https://github.com/zjfheart/Friendly-Adversarial-Training"},{"title":"imrahulr/adversarial_robustness_pytorch","url":"https://github.com/imrahulr/adversarial_robustness_pytorch"},{"title":"Jeffkang-94/pytorch-adversarial-attack","url":"https://github.com/Jeffkang-94/pytorch-adversarial-attack"},{"title":"P2333/Max-Mahalanobis-Training","url":"https://github.com/P2333/Max-Mahalanobis-Training"},{"title":"revbucket/mister_ed","url":"https://github.com/revbucket/mister_ed"},{"title":"Zoky-2020/Set-level_Guidance_Attack","url":"https://github.com/Zoky-2020/Set-level_Guidance_Attack"},{"title":"tianzheng4/Distributionally-Adversarial-Attack","url":"https://github.com/tianzheng4/Distributionally-Adversarial-Attack"},{"title":"arobey1/advbench","url":"https://github.com/arobey1/advbench"},{"title":"Hadisalman/robust-verify-benchmark","url":"https://github.com/Hadisalman/robust-verify-benchmark"},{"title":"zibojia/rslad","url":"https://github.com/zibojia/rslad"},{"title":"henry8527/GCE","url":"https://github.com/henry8527/GCE"},{"title":"albertmillan/adversarial-training-pytorch","url":"https://github.com/albertmillan/adversarial-training-pytorch"},{"title":"EPFL-VILAB/XDEnsembles","url":"https://github.com/EPFL-VILAB/XDEnsembles"},{"title":"andrewilyas/ens-adv-train-attack","url":"https://github.com/andrewilyas/ens-adv-train-attack"},{"title":"boyellow/adaad","url":"https://github.com/boyellow/adaad"},{"title":"cdluminate/advrank","url":"https://github.com/cdluminate/advrank"},{"title":"cdluminate/advrank-pub","url":"https://github.com/cdluminate/advrank-pub"},{"title":"AI-secure/Transferability-Reduced-Smooth-Ensemble","url":"https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble"},{"title":"ucsb-nlp-chang/textgrad","url":"https://github.com/ucsb-nlp-chang/textgrad"},{"title":"luizgh/adversarial_signatures","url":"https://github.com/luizgh/adversarial_signatures"},{"title":"arobey1/mbrdl","url":"https://github.com/arobey1/mbrdl"},{"title":"microsoft/distance-learner","url":"https://github.com/microsoft/distance-learner"},{"title":"scenarri/s2m-tea","url":"https://github.com/scenarri/s2m-tea"},{"title":"VishaalMK/VectorDefense","url":"https://github.com/VishaalMK/VectorDefense"},{"title":"hrdwsong/TDLMR2AA-Paddle","url":"https://github.com/hrdwsong/TDLMR2AA-Paddle"},{"title":"val-iisc/flss","url":"https://github.com/val-iisc/flss"},{"title":"cs-giung/course-dl-TP","url":"https://github.com/cs-giung/course-dl-TP"},{"title":"eldadp100/cnn_course_final","url":"https://github.com/eldadp100/cnn_course_final"},{"title":"eldadp100/Towards-Deep-Learning-Models-Resistant-to-Adversarial-Attacks-Implementation","url":"https://github.com/eldadp100/Towards-Deep-Learning-Models-Resistant-to-Adversarial-Attacks-Implementation"},{"title":"bingcheng45/hnr-extension","url":"https://github.com/bingcheng45/hnr-extension"},{"title":"ee17b031-iittp/Projected-Gradient-Descent-with-CIFAR10","url":"https://github.com/ee17b031-iittp/Projected-Gradient-Descent-with-CIFAR10"},{"title":"salomonhotegni/MOREL","url":"https://github.com/salomonhotegni/MOREL"},{"title":"loes5307/vocaladversary2022","url":"https://github.com/loes5307/vocaladversary2022"},{"title":"KnowledgeDiscovery/FaceSec","url":"https://github.com/KnowledgeDiscovery/FaceSec"},{"title":"lemonadec/Relevance-between-Accuracy-under-Black-box-Attack-and-the-Similarity-between-Networks","url":"https://github.com/lemonadec/Relevance-between-Accuracy-under-Black-box-Attack-and-the-Similarity-between-Networks"},{"title":"amerch/CIFAR100-Training","url":"https://github.com/amerch/CIFAR100-Training"},{"title":"matanbt/attack-tabular","url":"https://github.com/matanbt/attack-tabular"},{"title":"bethgelab/cifar10_challenge","url":"https://github.com/bethgelab/cifar10_challenge"},{"title":"peck94/cann-detector","url":"https://github.com/peck94/cann-detector"},{"title":"abahram77/mnist_challenge","url":"https://github.com/abahram77/mnist_challenge"},{"title":"thomashopkins32/PGDAdversarialLearning","url":"https://github.com/thomashopkins32/PGDAdversarialLearning"},{"title":"jokeryan/post_training","url":"https://github.com/jokeryan/post_training"},{"title":"TonyYaoMSU/ProjectedGradientDescent","url":"https://github.com/TonyYaoMSU/ProjectedGradientDescent"},{"title":"dacostaHugo/Adversarial_attacks","url":"https://github.com/dacostaHugo/Adversarial_attacks"},{"title":"khieu/cifar10_challenge","url":"https://github.com/khieu/cifar10_challenge"},{"title":"SafiyaJan/Attacking-Neural-Networks","url":"https://github.com/SafiyaJan/Attacking-Neural-Networks"},{"title":"shashankskagnihotri/adv-corrected-ddcat-cospgd","url":"https://github.com/shashankskagnihotri/adv-corrected-ddcat-cospgd"},{"title":"hope-yao/robust_attention_cifar","url":"https://github.com/hope-yao/robust_attention_cifar"},{"title":"Cadden/paddle-adver","url":"https://github.com/Cadden/paddle-adver"},{"title":"YinDFY/PGD_for_targeted_attack","url":"https://github.com/YinDFY/PGD_for_targeted_attack"},{"title":"abahram77/mnistChallenge","url":"https://github.com/abahram77/mnistChallenge"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/towards-deep-learning-models-resistant-to","title":"Towards Deep Learning Models Resistant to Adversarial Attacks","date":"2017-06-19","rows_on_this_dataset":1,"code_links":59,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":9,"samples_unverified":8,"pointer_only_for_licence":13,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":17,"samples_ran":9,"samples_unverified":8,"pointer_only_for_licence":13,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}