{
  "source": "Meta Kaggle Kernels.csv",
  "source_snapshot": {
    "source_mtime": 1790828993000000000,
    "source_date": "2026-10-01T04:29:53Z"
  },
  "items": [
    {
      "ref": "jpmiller/augmenting-data-with-translations",
      "kernel_id": "10963423",
      "votes": 50
    },
    {
      "ref": "shahules/contradiction-xlm-kfold-starter",
      "kernel_id": "10971620",
      "votes": 54
    },
    {
      "ref": "vbookshelf/the-game-is-afoot-baseline",
      "kernel_id": "10962965",
      "votes": 8
    },
    {
      "ref": "rhtsingh/tpu-training-and-inference-pytorch-distilbert",
      "kernel_id": "10981694",
      "votes": 19
    },
    {
      "ref": "rhtsingh/tpu-training-pytorch-nlp-xlmroberta",
      "kernel_id": "10966859",
      "votes": 70
    },
    {
      "ref": "docxian/show-me-your-eda-my-dear-watson",
      "kernel_id": "10965930",
      "votes": 14
    },
    {
      "ref": "parmarsuraj99/transforming-contradictory-sentences",
      "kernel_id": "10973244",
      "votes": 21
    },
    {
      "ref": "xhlulu/contradictory-watson-concise-keras-xlm-r-on-tpu",
      "kernel_id": "10962695",
      "votes": 107
    },
    {
      "ref": "tkrsh09/nlp-starter-complete-tpu-bert-guide-keras",
      "kernel_id": "10996517",
      "votes": 27
    },
    {
      "ref": "ajax0564/bert-base-multilingual-cased",
      "kernel_id": "10973321",
      "votes": 14
    },
    {
      "ref": "ajax0564/xlm-roberta-base",
      "kernel_id": "10971911",
      "votes": 8
    },
    {
      "ref": "shubham9455999082/simple-notebook",
      "kernel_id": "10987392",
      "votes": 8
    },
    {
      "ref": "doanquanvietnamca/dataset-for-multilanguage",
      "kernel_id": "10990706",
      "votes": 6
    },
    {
      "ref": "doanquanvietnamca/contradictory-my-dear-watson-eda",
      "kernel_id": "10994322",
      "votes": 7
    },
    {
      "ref": "doanquanvietnamca/trainning-mbert-tpu-pytorch",
      "kernel_id": "10994839",
      "votes": 7
    },
    {
      "ref": "doanquanvietnamca/training-xlm-roberta",
      "kernel_id": "10996771",
      "votes": 7
    },
    {
      "ref": "shirishsharma/xlm-roberta-and-eda-my-dear-watson",
      "kernel_id": "10978416",
      "votes": 7
    },
    {
      "ref": "gunanandkumar/tutorial-notebook",
      "kernel_id": "10967521",
      "votes": 3
    },
    {
      "ref": "tpothjuan/basic-eda-xnli-mnli-xlm-bert",
      "kernel_id": "10974778",
      "votes": 35
    },
    {
      "ref": "anasofiauzsoy/tutorial-notebook",
      "kernel_id": "10900952",
      "votes": 1819
    },
    {
      "ref": "rli596/contradictory-my-dear-watson-data-aug",
      "kernel_id": "10997559",
      "votes": 25
    },
    {
      "ref": "kiatweitan/contradictory-my-dear-watson",
      "kernel_id": "11686456",
      "votes": 0
    },
    {
      "ref": "kiatweitan/contradictory-oh-my-dear-watson-laser-embedding",
      "kernel_id": "11689259",
      "votes": 0
    },
    {
      "ref": "rohanrao/tpu-sherlocked-one-stop-for-with-tf",
      "kernel_id": "11162722",
      "votes": 212
    },
    {
      "ref": "debashissanyal/nli-with-tf2-2-and-3-1",
      "kernel_id": "11685223",
      "votes": 7
    },
    {
      "ref": "aiswaryaramachandran/mistake-to-theorize-before-one-has-data-watson",
      "kernel_id": "11351244",
      "votes": 4
    },
    {
      "ref": "aiswaryaramachandran/elementary-my-dear-watson",
      "kernel_id": "11288522",
      "votes": 2
    },
    {
      "ref": "kaoyubo/starter-notebook",
      "kernel_id": "11219534",
      "votes": 2
    },
    {
      "ref": "dsivan/data-augmentation-3",
      "kernel_id": "11403742",
      "votes": 1
    },
    {
      "ref": "rodsaldanha/contradictory-my-dear-watson-competition",
      "kernel_id": "11132972",
      "votes": 8
    },
    {
      "ref": "yeayates21/fork-watson-keras-roberta-ssl-tweet-lb-0-80",
      "kernel_id": "11470784",
      "votes": 7
    },
    {
      "ref": "sadiq18/english-translation",
      "kernel_id": "11445335",
      "votes": 6
    },
    {
      "ref": "izarortin/more-data-and-data-aug-nli-by-keras",
      "kernel_id": "11337591",
      "votes": 10
    },
    {
      "ref": "aditya08/translated-data-augmentation-xlm-roberta-kfold",
      "kernel_id": "11053603",
      "votes": 26
    },
    {
      "ref": "aditya08/nli-data-translation-augmentation",
      "kernel_id": "11079880",
      "votes": 3
    },
    {
      "ref": "krrai77/predicting-the-sentence-correlation",
      "kernel_id": "11113678",
      "votes": 5
    },
    {
      "ref": "msafi04/watson-and-contradiction-keras-tpu",
      "kernel_id": "11062246",
      "votes": 2
    },
    {
      "ref": "arhouati/bert-based-model-for-contradiction-detection",
      "kernel_id": "11775677",
      "votes": 22
    },
    {
      "ref": "vbookshelf/basics-of-bert-and-xlm-roberta-pytorch",
      "kernel_id": "11266612",
      "votes": 218
    },
    {
      "ref": "qinhui1999/more-nli-datasets-xmlr-large",
      "kernel_id": "11248074",
      "votes": 74
    },
    {
      "ref": "pradeepmuniasamy/contradictory-my-dear-watson-everything-you-need",
      "kernel_id": "11122350",
      "votes": 55
    },
    {
      "ref": "ahmedalesh/notebook-bert-model",
      "kernel_id": "11089925",
      "votes": 2
    },
    {
      "ref": "pawan28a95/fast-ai-quick-baseline",
      "kernel_id": "11080848",
      "votes": 10
    },
    {
      "ref": "shaitender/my-dear-watson-with-xlm-roberta-large",
      "kernel_id": "11038328",
      "votes": 12
    },
    {
      "ref": "alturutin/watson-xlm-r-nli-inference",
      "kernel_id": "11543499",
      "votes": 256
    },
    {
      "ref": "alturutin/watson-xml-r-nli-train",
      "kernel_id": "11519224",
      "votes": 66
    },
    {
      "ref": "rhtsingh/tpu-inference-pytorch-nlp-xlmroberta",
      "kernel_id": "11164467",
      "votes": 49
    },
    {
      "ref": "rhtsingh/interpreting-text-models-with-bert-on-tpu",
      "kernel_id": "11005362",
      "votes": 25
    },
    {
      "ref": "vpkprasanna/bert-base-uncased-multilingual",
      "kernel_id": "11016692",
      "votes": 18
    },
    {
      "ref": "pkundu25/nlp-contradiction-prediction-xlm-roberta-v2",
      "kernel_id": "11164561",
      "votes": 0
    },
    {
      "ref": "yihdarshieh/more-nli-datasets-hugging-face-nlp-library",
      "kernel_id": "11093125",
      "votes": 95
    },
    {
      "ref": "yihdarshieh/masked-my-dear-watson-mlm-with-tpu",
      "kernel_id": "11310642",
      "votes": 27
    },
    {
      "ref": "yihdarshieh/visualize-and-implement-bert-s-token-masking",
      "kernel_id": "11382231",
      "votes": 3
    },
    {
      "ref": "samansiadati/watson-nli-with-tensorflow-and-transformers",
      "kernel_id": "11103479",
      "votes": 67
    },
    {
      "ref": "marcellosusanto/input-configuration-benchmark-using-distilbert",
      "kernel_id": "11099472",
      "votes": 8
    },
    {
      "ref": "sonyrajan/contradictory-on-xlm",
      "kernel_id": "11394622",
      "votes": 5
    },
    {
      "ref": "thegodchurch/bert-base-uncased-multilingual",
      "kernel_id": "11072503",
      "votes": 11
    },
    {
      "ref": "narendrageek/nlp-augmenter-5-fold-bert-translator",
      "kernel_id": "11110879",
      "votes": 37
    },
    {
      "ref": "rsingh99/eda-contradictory-my-dear-watson",
      "kernel_id": "11082004",
      "votes": 9
    },
    {
      "ref": "ravi02516/eda-and-upsampling-of-data",
      "kernel_id": "11378416",
      "votes": 2
    },
    {
      "ref": "ravi02516/bert-training-5-fold-cross-validation",
      "kernel_id": "11250744",
      "votes": 31
    },
    {
      "ref": "sumitm004/a-deep-dive-into-multinli-and-xnli-through-eda",
      "kernel_id": "11078919",
      "votes": 6
    },
    {
      "ref": "pawan2905/my-dear-watson",
      "kernel_id": "11445951",
      "votes": 1
    },
    {
      "ref": "johndoe23456/contradictory-my-dear-watson",
      "kernel_id": "11308837",
      "votes": 3
    },
    {
      "ref": "mattbast/training-transformers-with-tensorflow-and-tpus",
      "kernel_id": "11148955",
      "votes": 18
    },
    {
      "ref": "re1372/my-dear-watson-nli",
      "kernel_id": "11965581",
      "votes": 3
    },
    {
      "ref": "itsbitan/contradictary",
      "kernel_id": "11457206",
      "votes": 3
    },
    {
      "ref": "krsna540/holmes-deductions",
      "kernel_id": "11605397",
      "votes": 18
    },
    {
      "ref": "pawan300/nlp-premise",
      "kernel_id": "11841121",
      "votes": 6
    },
    {
      "ref": "stephenmugisha/roberta-vs-watson",
      "kernel_id": "11080309",
      "votes": 6
    },
    {
      "ref": "nitinfaye/predict-two-sentences",
      "kernel_id": "11081237",
      "votes": 0
    },
    {
      "ref": "leoisleo1/fork-from-contradiction-xlm-kfold-tpu",
      "kernel_id": "11008485",
      "votes": 2
    },
    {
      "ref": "irinagia/xlm-roberta-large-xnli",
      "kernel_id": "11392634",
      "votes": 31
    },
    {
      "ref": "barteksadlej123/external-data-with-baseline-model",
      "kernel_id": "11335386",
      "votes": 5
    },
    {
      "ref": "barteksadlej123/start-with-tutorial-notebook",
      "kernel_id": "11283948",
      "votes": 4
    },
    {
      "ref": "fstcap/contradictory-tpu-bert",
      "kernel_id": "11279241",
      "votes": 6
    },
    {
      "ref": "maya01/my-dear-watson",
      "kernel_id": "11205177",
      "votes": 4
    },
    {
      "ref": "smagh777/natural-language-inferencing",
      "kernel_id": "11074549",
      "votes": 8
    },
    {
      "ref": "rajaraman6195/english-to-sql",
      "kernel_id": "11807261",
      "votes": 3
    },
    {
      "ref": "pastrop/my-dear-watson-pytorch",
      "kernel_id": "11277839",
      "votes": 0
    },
    {
      "ref": "introvertedspud/eda-contradictory-my-dear-watson",
      "kernel_id": "11087689",
      "votes": 12
    },
    {
      "ref": "jesudasdsouza/rnn-vs-lstm-gru-vs-bilstm-vs-transformers",
      "kernel_id": "11093719",
      "votes": 17
    },
    {
      "ref": "ht5brer/watson-bert-baseline",
      "kernel_id": "11202878",
      "votes": 0
    },
    {
      "ref": "barracoda/pytorch-bert-multilingual",
      "kernel_id": "11229967",
      "votes": 4
    },
    {
      "ref": "vishynair/language-detection-using-spacy",
      "kernel_id": "11929726",
      "votes": 3
    },
    {
      "ref": "forwet/data-upsampling-data-visualization-robert-model",
      "kernel_id": "11144692",
      "votes": 23
    },
    {
      "ref": "shivanandmn/bert-pytorch-tpu",
      "kernel_id": "11142339",
      "votes": 17
    },
    {
      "ref": "doanquanvietnamca/ensemble-submission-csv",
      "kernel_id": "11016766",
      "votes": 27
    },
    {
      "ref": "doanquanvietnamca/started-code-super-tutorial-xlm-roberta",
      "kernel_id": "11029840",
      "votes": 11
    },
    {
      "ref": "zaynhaider/detecting-contradiction-and-entailment",
      "kernel_id": "11729237",
      "votes": 5
    },
    {
      "ref": "kkhandekar/contradiction-detection-multilingual-bert",
      "kernel_id": "11007759",
      "votes": 12
    },
    {
      "ref": "kkhandekar/elementary-my-dear-watson",
      "kernel_id": "11024985",
      "votes": 6
    },
    {
      "ref": "kkhandekar/contradiction-detection-distilbert",
      "kernel_id": "11042447",
      "votes": 4
    },
    {
      "ref": "kkhandekar/bert-vs-distilbert-vs-xlm-roberta-accuracy",
      "kernel_id": "11043821",
      "votes": 18
    },
    {
      "ref": "kkhandekar/contradiction-detection-xlm-roberta",
      "kernel_id": "11043234",
      "votes": 18
    },
    {
      "ref": "nupurroy/kernel674ca09f2c",
      "kernel_id": "11102398",
      "votes": 0
    },
    {
      "ref": "nur988/semantic-similarity-with-bert",
      "kernel_id": "11880346",
      "votes": 16
    },
    {
      "ref": "nur988/dear-watson",
      "kernel_id": "11845161",
      "votes": 0
    },
    {
      "ref": "tuckerarrants/watson-kfold-xlm-r-translation-augmentation",
      "kernel_id": "11037852",
      "votes": 82
    },
    {
      "ref": "tuckerarrants/using-google-translate-for-nlp-augmentation",
      "kernel_id": "11073346",
      "votes": 136
    },
    {
      "ref": "dmitryyemelyanov/very-contradictory-eda",
      "kernel_id": "11083219",
      "votes": 1
    },
    {
      "ref": "adityajohnny/let-s-see-how-sherlock-holmes-found-nlp-exciting",
      "kernel_id": "11709294",
      "votes": 7
    },
    {
      "ref": "toastedalmonds/translating-contradictory-my-dear-watson-data",
      "kernel_id": "11393468",
      "votes": 1
    },
    {
      "ref": "trinadhsingaladevi/contradictory-my-dear-watson",
      "kernel_id": "11168641",
      "votes": 14
    },
    {
      "ref": "thomaskonstantin/my-dear-watson-analysis-and-prediction",
      "kernel_id": "11476696",
      "votes": 18
    },
    {
      "ref": "reichenbch/tpu-tutorial-code",
      "kernel_id": "11235467",
      "votes": 2
    },
    {
      "ref": "adammontgomerie/notebooke72e321c6e",
      "kernel_id": "11381142",
      "votes": 4
    },
    {
      "ref": "dimasmunoz/a-simple-bert-approach",
      "kernel_id": "11056462",
      "votes": 9
    },
    {
      "ref": "dimasmunoz/clean-english-data-roberta",
      "kernel_id": "11096512",
      "votes": 12
    },
    {
      "ref": "swatisk2702/natural-language-inferencing",
      "kernel_id": "11104798",
      "votes": 2
    },
    {
      "ref": "jaredmarvel/tutorial-notebook",
      "kernel_id": "11434760",
      "votes": 0
    },
    {
      "ref": "tpothjuan/data-augmentation-with-googletrans-also-tta",
      "kernel_id": "11102133",
      "votes": 4
    },
    {
      "ref": "avaniudupa/contradictory-my-dear-watson",
      "kernel_id": "11107371",
      "votes": 5
    },
    {
      "ref": "boasloeb/watsoncontradiction",
      "kernel_id": "11238888",
      "votes": 1
    },
    {
      "ref": "geekycoder0/contradictory-watson",
      "kernel_id": "12098613",
      "votes": 2
    },
    {
      "ref": "cweic220591/inference-model-ensemble",
      "kernel_id": "12885026",
      "votes": 2
    },
    {
      "ref": "cweic220591/pytorch-lightning-multilingualbert-baseline",
      "kernel_id": "12580829",
      "votes": 8
    },
    {
      "ref": "victororlov/nli-bert-tpu-tf",
      "kernel_id": "12848786",
      "votes": 0
    },
    {
      "ref": "naiara/nlp-contradictory-mr-watson",
      "kernel_id": "12875757",
      "votes": 9
    },
    {
      "ref": "sapthrishi007/train-manually-bert-v1",
      "kernel_id": "12453496",
      "votes": 2
    },
    {
      "ref": "mojammel/inference-with-xlm-roberta",
      "kernel_id": "12093149",
      "votes": 15
    },
    {
      "ref": "satyamkryadav/multi-class-classification-watson",
      "kernel_id": "12467817",
      "votes": 3
    },
    {
      "ref": "saztorralba/contradiction-lstmencoder-englishonly",
      "kernel_id": "12665972",
      "votes": 1
    },
    {
      "ref": "jbagdon/predict-with-tf-xlm-roberta-large",
      "kernel_id": "13666218",
      "votes": 2
    },
    {
      "ref": "sharpshim/dearwatson-xlmroberta-pytorch",
      "kernel_id": "13825770",
      "votes": 11
    },
    {
      "ref": "ruthvik17/it-is-contradictory-relation-extraction",
      "kernel_id": "13392787",
      "votes": 1
    },
    {
      "ref": "rahulbana/contradictory-my-dear-watson-using-xlni-robert",
      "kernel_id": "13448834",
      "votes": 3
    },
    {
      "ref": "rahulbana/contradictory-my-dear-watson-using-xlni-robert2",
      "kernel_id": "13452482",
      "votes": 48
    },
    {
      "ref": "eladwar/text-catboost",
      "kernel_id": "13799737",
      "votes": 0
    },
    {
      "ref": "ameya98/contradictions",
      "kernel_id": "13208405",
      "votes": 5
    },
    {
      "ref": "sapthrishi007/pytorch-gap-xlmroberta-multiple-datasets",
      "kernel_id": "13380346",
      "votes": 73
    },
    {
      "ref": "sarachilson/data-exploration-xlm-bert",
      "kernel_id": "13113961",
      "votes": 9
    },
    {
      "ref": "sanjanarevankar/watson-xml-r-nli-train",
      "kernel_id": "13377696",
      "votes": 2
    },
    {
      "ref": "petraderecskei/notebookw",
      "kernel_id": "13965886",
      "votes": 1
    },
    {
      "ref": "petraderecskei/notebookwatson",
      "kernel_id": "13946399",
      "votes": 1
    },
    {
      "ref": "arenagrenade/contradictory-my-dear-watson",
      "kernel_id": "13479318",
      "votes": 1
    },
    {
      "ref": "rajnathpatel/multilingual-nli",
      "kernel_id": "13511536",
      "votes": 3
    },
    {
      "ref": "daotan/watson-using-bert",
      "kernel_id": "13337770",
      "votes": 31
    },
    {
      "ref": "fabienravet/bert-multilingual",
      "kernel_id": "13243693",
      "votes": 2
    },
    {
      "ref": "minatighosh2020/contradictory-my-dear-watson-using-xlni-robert2",
      "kernel_id": "13529326",
      "votes": 1
    },
    {
      "ref": "muneshwarmca1uoa/contradictory-my-dear-watson",
      "kernel_id": "13982257",
      "votes": 3
    },
    {
      "ref": "ceshine/mt5-base-mnli-zero-shot",
      "kernel_id": "14481602",
      "votes": 11
    },
    {
      "ref": "ceshine/preprocess-and-finetune-mt5",
      "kernel_id": "14423371",
      "votes": 10
    },
    {
      "ref": "ceshine/pytorch-lightning-finetune-mnli-pretrained-mt5",
      "kernel_id": "14439766",
      "votes": 4
    },
    {
      "ref": "jamesmcguigan/nlp-contradictory-laser-embeddings-keras",
      "kernel_id": "14363237",
      "votes": 2
    },
    {
      "ref": "wchowdhu/detect-entailment-contradiction-using-tensorflow",
      "kernel_id": "14631065",
      "votes": 39
    },
    {
      "ref": "jacobbloodaxe/watson-nb",
      "kernel_id": "14548313",
      "votes": 2
    },
    {
      "ref": "skiller/classification-so-elementary",
      "kernel_id": "14120389",
      "votes": 12
    },
    {
      "ref": "poulami123/watson",
      "kernel_id": "14161585",
      "votes": 0
    },
    {
      "ref": "lvalencia/xml-roberta-watson-fight-contradiction",
      "kernel_id": "14540879",
      "votes": 9
    },
    {
      "ref": "naim99/basics-of-bert-and-xlm-roberta-pytorch",
      "kernel_id": "14174495",
      "votes": 29
    },
    {
      "ref": "vijayalakshmibhagat/vb-contradict",
      "kernel_id": "14499159",
      "votes": 1
    },
    {
      "ref": "jswxhd/nli-beginner-eda-bert-baseline",
      "kernel_id": "14395673",
      "votes": 43
    },
    {
      "ref": "muthuannalakshmia/translate-snli-to-tamil",
      "kernel_id": "14441851",
      "votes": 4
    },
    {
      "ref": "muthuannalakshmia/phase-2",
      "kernel_id": "14441183",
      "votes": 2
    },
    {
      "ref": "fabienravet/testing-data-augmentation-with-bert",
      "kernel_id": "14136177",
      "votes": 0
    },
    {
      "ref": "yoohyuck/multilingual-roberta",
      "kernel_id": "14625096",
      "votes": 29
    },
    {
      "ref": "katharinamenz/tutorial-notebook-edited-by-katharinamenz",
      "kernel_id": "14249652",
      "votes": 59
    },
    {
      "ref": "arin006/electra-arin006-28-2021",
      "kernel_id": "15824576",
      "votes": 3
    },
    {
      "ref": "faressayah/text-analysis-topic-modeling-with-spacy-gensim",
      "kernel_id": "15619405",
      "votes": 247
    },
    {
      "ref": "daniilbuchko/multilingual-roberta",
      "kernel_id": "15761352",
      "votes": 1
    },
    {
      "ref": "jerinm/nlp-language-inferencing-model-bert",
      "kernel_id": "15593862",
      "votes": 7
    },
    {
      "ref": "njmmaryem/contradictory-my-dear-watson",
      "kernel_id": "15365775",
      "votes": 7
    },
    {
      "ref": "sunnychatterjee/nli-problem",
      "kernel_id": "15675470",
      "votes": 2
    },
    {
      "ref": "sourabhy/result",
      "kernel_id": "15014134",
      "votes": 4
    },
    {
      "ref": "modalayaswanth/submission-1",
      "kernel_id": "15938540",
      "votes": 0
    },
    {
      "ref": "vamsikrishna500466/detecting-multilingual-text-using-tpu-vamsi-v-1-0",
      "kernel_id": "15584589",
      "votes": 5
    },
    {
      "ref": "wh1rlw1nd/phase-2-cdaa35",
      "kernel_id": "15190303",
      "votes": 1
    },
    {
      "ref": "ceshine/pytorch-lightning-finetune-mt5",
      "kernel_id": "16129689",
      "votes": 1
    },
    {
      "ref": "nicovincx2/fine-tuning-gpu",
      "kernel_id": "16439814",
      "votes": 35
    },
    {
      "ref": "nicovincx2/fine-tuning-tpu",
      "kernel_id": "16481393",
      "votes": 4
    },
    {
      "ref": "wchowdhu/multilingual-natural-language-inference",
      "kernel_id": "16272989",
      "votes": 23
    },
    {
      "ref": "wchowdhu/perform-cross-validation-on-limited-data",
      "kernel_id": "16357237",
      "votes": 1
    },
    {
      "ref": "wolfy73/cmdw-simple-roberta-training-base-no-cheat",
      "kernel_id": "16549987",
      "votes": 1
    },
    {
      "ref": "marcelolafeta/housing-prices-pae-imt",
      "kernel_id": "16051879",
      "votes": 0
    },
    {
      "ref": "hugoarmandopazvivas/contradictory-my-dear-watson-hapv",
      "kernel_id": "16101881",
      "votes": 17
    },
    {
      "ref": "yehoonjoo/nli-with-xlm-roberta",
      "kernel_id": "16183807",
      "votes": 9
    },
    {
      "ref": "bathidoddi/nlp-bert-watson-contradictory",
      "kernel_id": "16291405",
      "votes": 1
    },
    {
      "ref": "urstrulysai/xlm-roberta-base",
      "kernel_id": "16630144",
      "votes": 31
    },
    {
      "ref": "arthurkunko/imt-watson",
      "kernel_id": "16051715",
      "votes": 1
    },
    {
      "ref": "alexbas/freeze-language-model-activations-part-ii",
      "kernel_id": "16609396",
      "votes": 3
    },
    {
      "ref": "alexbas/freeze-language-model-activations-part-i",
      "kernel_id": "16608411",
      "votes": 0
    },
    {
      "ref": "cancan077/kc-contradictory",
      "kernel_id": "16194366",
      "votes": 0
    },
    {
      "ref": "ardol24/xlm-roberta-v5",
      "kernel_id": "16578782",
      "votes": 4
    },
    {
      "ref": "jiayee/ds-mentorship-2021-project",
      "kernel_id": "17029343",
      "votes": 0
    },
    {
      "ref": "raozjuil/bert-starter-nli",
      "kernel_id": "17352424",
      "votes": 7
    },
    {
      "ref": "rcmonteiro/contradictory-my-dear-watson-pytorch-bert-tpu",
      "kernel_id": "17791393",
      "votes": 35
    },
    {
      "ref": "alters/xlm-roberta-base-test",
      "kernel_id": "17533209",
      "votes": 3
    },
    {
      "ref": "jayo870810/xlm-robertwatson",
      "kernel_id": "17480621",
      "votes": 7
    },
    {
      "ref": "jayo870810/augmenting-data-with-translations",
      "kernel_id": "17574609",
      "votes": 0
    },
    {
      "ref": "nupurroy/notebookf6789a9b67",
      "kernel_id": "17644953",
      "votes": 1
    },
    {
      "ref": "tumanovalexander/robertamodel",
      "kernel_id": "17199814",
      "votes": 2
    },
    {
      "ref": "anandhisolaimuthu/notebookc30e853d49",
      "kernel_id": "17569831",
      "votes": 0
    },
    {
      "ref": "sukanyabag/detecting-contradictions-in-multilingual-text",
      "kernel_id": "17333812",
      "votes": 21
    },
    {
      "ref": "eboniklee/tutorial-notebook-detailed",
      "kernel_id": "17092723",
      "votes": 3
    },
    {
      "ref": "haiyunhu/contradictory-my-dear-watson-pytorch-bert-tpu",
      "kernel_id": "17911446",
      "votes": 2
    },
    {
      "ref": "dhairyashah23/xlm-roberta",
      "kernel_id": "17025221",
      "votes": 13
    },
    {
      "ref": "danielxavier/pae-imt",
      "kernel_id": "17782232",
      "votes": 0
    },
    {
      "ref": "benzyz/bert-base-multilingual-cased-pyotrch",
      "kernel_id": "17585136",
      "votes": 0
    },
    {
      "ref": "victororlov/bert-simple-baseline-tensorflow",
      "kernel_id": "18407844",
      "votes": 1
    },
    {
      "ref": "vishaldeoprasad/text-analysis-topic-modelling-with-spacy-gensim",
      "kernel_id": "18329551",
      "votes": 1
    },
    {
      "ref": "iamfahady/contradictory-my-dear-watson-pytorch-gpu",
      "kernel_id": "18871162",
      "votes": 7
    },
    {
      "ref": "shineiarakawa/pytorch-bert-by-transformers",
      "kernel_id": "18124894",
      "votes": 9
    },
    {
      "ref": "federicocabrerapaez/contradictory-my-dear-watson-by-federico-cabrera",
      "kernel_id": "18785865",
      "votes": 47
    },
    {
      "ref": "gruhitpatel/contradictory",
      "kernel_id": "19648982",
      "votes": 0
    },
    {
      "ref": "victorsullivan/contradictory",
      "kernel_id": "19836889",
      "votes": 2
    },
    {
      "ref": "dorianclay/a-solution-to-watson-s-contradictions",
      "kernel_id": "19293194",
      "votes": 3
    },
    {
      "ref": "pradeepkr12/test-package",
      "kernel_id": "20117663",
      "votes": 0
    },
    {
      "ref": "rhtsingh/all-the-ways-you-can-compress-transformers",
      "kernel_id": "20276603",
      "votes": 167
    },
    {
      "ref": "naimi69/my-dear-wattson",
      "kernel_id": "20566806",
      "votes": 26
    },
    {
      "ref": "lanh18/nli-watson-project",
      "kernel_id": "20504562",
      "votes": 8
    },
    {
      "ref": "crismolav/contradictory",
      "kernel_id": "20857793",
      "votes": 10
    },
    {
      "ref": "omarmoghazy/notebook24612ce6b6-cde030",
      "kernel_id": "20893569",
      "votes": 1
    },
    {
      "ref": "omarmoghazy/notebook24612ce6b6",
      "kernel_id": "20564083",
      "votes": 1
    },
    {
      "ref": "renadashraf/notebook24612ce6b6",
      "kernel_id": "20873938",
      "votes": 1
    },
    {
      "ref": "tp2422/exploring-roberta",
      "kernel_id": "21964531",
      "votes": 6
    },
    {
      "ref": "giovanni11/xlm-roberta-large-xnli-class-head-transplant",
      "kernel_id": "21466751",
      "votes": 12
    },
    {
      "ref": "operationalamplifier/watson-xlm-r-large-inference",
      "kernel_id": "21844694",
      "votes": 0
    },
    {
      "ref": "operationalamplifier/watson-xlm-r-base-inference",
      "kernel_id": "21843353",
      "votes": 0
    },
    {
      "ref": "operationalamplifier/watson-xlm-r-large-training",
      "kernel_id": "21843774",
      "votes": 3
    },
    {
      "ref": "operationalamplifier/watson-xlm-r-base-training",
      "kernel_id": "21842750",
      "votes": 2
    },
    {
      "ref": "operationalamplifier/watson-bert-baseline-inference",
      "kernel_id": "21842446",
      "votes": 3
    },
    {
      "ref": "operationalamplifier/watson-bert-baseline-training",
      "kernel_id": "21841924",
      "votes": 1
    },
    {
      "ref": "davidomrai/natural-language-inferencing",
      "kernel_id": "21876420",
      "votes": 1
    },
    {
      "ref": "tjuyulu/notebookf0ed6ae458",
      "kernel_id": "21482789",
      "votes": 2
    },
    {
      "ref": "mariyagoliyad/train-with-xlm-roberta",
      "kernel_id": "21307850",
      "votes": 21
    },
    {
      "ref": "dan1ar/andreev-hw3-xxx-recognition",
      "kernel_id": "22147850",
      "votes": 7
    },
    {
      "ref": "maricinnamon/contradictory-my-dear-watson-nlp-tensorflow",
      "kernel_id": "22519004",
      "votes": 18
    },
    {
      "ref": "saraswatitiwari/contradictory-my-dear-watson",
      "kernel_id": "22506350",
      "votes": 3
    },
    {
      "ref": "nicknosorogov/bertexperiment-ii",
      "kernel_id": "22466137",
      "votes": 15
    },
    {
      "ref": "nkitgupta/text-representations",
      "kernel_id": "22459338",
      "votes": 435
    },
    {
      "ref": "prodigiousphoton/sher-locked",
      "kernel_id": "22767941",
      "votes": 1
    },
    {
      "ref": "nishantrajadhyaksha/contradictory-my-dear-watson-pytorch-lightning-w-b",
      "kernel_id": "22057392",
      "votes": 14
    },
    {
      "ref": "nishantrajadhyaksha/pytorchlightning-xlmroberta",
      "kernel_id": "22081284",
      "votes": 6
    },
    {
      "ref": "abdelrhmanelkhouly/text-representations",
      "kernel_id": "22704923",
      "votes": 1
    },
    {
      "ref": "zwartfreak/bert-nli-explanable",
      "kernel_id": "22983625",
      "votes": 15
    },
    {
      "ref": "fionaluo7/text-representations",
      "kernel_id": "22727682",
      "votes": 2
    },
    {
      "ref": "liberatoryohan/nli-watson",
      "kernel_id": "23978781",
      "votes": 3
    },
    {
      "ref": "sytuannguyen/contradictory-with-automated-ensembling",
      "kernel_id": "23702941",
      "votes": 48
    },
    {
      "ref": "mufseera/sentence-prediction",
      "kernel_id": "23953692",
      "votes": 1
    },
    {
      "ref": "ugurbykyldz/contradictory-my-dear-watson-just-english",
      "kernel_id": "23276685",
      "votes": 1
    },
    {
      "ref": "mouadnidabdellah/contradictory-my-dear-watson-with-xlm-r",
      "kernel_id": "23616080",
      "votes": 16
    },
    {
      "ref": "abdessamadajouhy/notebook32b5b0f3aa",
      "kernel_id": "23717762",
      "votes": 2
    },
    {
      "ref": "anshulmehtakaggl/intro-to-nlp-with-tensorflow",
      "kernel_id": "23526011",
      "votes": 37
    },
    {
      "ref": "sanketbose97/nli-my-dear-watson",
      "kernel_id": "23902232",
      "votes": 6
    },
    {
      "ref": "choikangrim/202117643-ai",
      "kernel_id": "23403291",
      "votes": 0
    },
    {
      "ref": "ging21/contradictory-my-dear-watson",
      "kernel_id": "24099570",
      "votes": 7
    },
    {
      "ref": "saburb/text-analysis-topic-modellingwith-spacy-gensim",
      "kernel_id": "24489771",
      "votes": 1
    },
    {
      "ref": "montec/multilingual-roberta",
      "kernel_id": "24104204",
      "votes": 0
    },
    {
      "ref": "denizbektas/contradictory-my-dear-watson-with-xlm-roberta",
      "kernel_id": "24284285",
      "votes": 9
    },
    {
      "ref": "k170040024/contradictory-my-dear-watson-pytorch-xlmr",
      "kernel_id": "24218003",
      "votes": 6
    },
    {
      "ref": "skorpion21/contradictory-my-dear-bertson",
      "kernel_id": "24096176",
      "votes": 9
    },
    {
      "ref": "xnuray98s/tutorial-notebook",
      "kernel_id": "24136594",
      "votes": 6
    },
    {
      "ref": "gopalgoyal612002/nli-watson-project-bert-embadding",
      "kernel_id": "24634737",
      "votes": 32
    },
    {
      "ref": "ahmedmohamed11/chandan-taneja-101917048-final",
      "kernel_id": "25464829",
      "votes": 0
    },
    {
      "ref": "nikhilmoudgil/notebook6b12266cc9",
      "kernel_id": "25400515",
      "votes": 1
    },
    {
      "ref": "hbansal2107/notebook24b4f89b7b",
      "kernel_id": "25402282",
      "votes": 0
    },
    {
      "ref": "ctanejaaa/chandan-taneja-101917048-final",
      "kernel_id": "25408896",
      "votes": 6
    },
    {
      "ref": "tush7301/watson",
      "kernel_id": "25363086",
      "votes": 10
    },
    {
      "ref": "yasinghasemipour/myproject",
      "kernel_id": "25597192",
      "votes": 3
    },
    {
      "ref": "ravikirandendukuri/roberta-version1",
      "kernel_id": "25962412",
      "votes": 3
    },
    {
      "ref": "kartikeyaj0/albert-kj",
      "kernel_id": "26725793",
      "votes": 2
    },
    {
      "ref": "shreyansh6996/tpu-robert",
      "kernel_id": "26566233",
      "votes": 6
    },
    {
      "ref": "lucasgsalves/contradictory-my-dear-watson",
      "kernel_id": "26704039",
      "votes": 2
    },
    {
      "ref": "maryiaznak/nli-pairs-of-sentences-tpu-xlm-roberta",
      "kernel_id": "26702970",
      "votes": 18
    },
    {
      "ref": "maryiaznak/nli-pairs-of-sentences-tpu-bert",
      "kernel_id": "26702223",
      "votes": 9
    },
    {
      "ref": "ravikirandendukuri/submission-temp",
      "kernel_id": "26873339",
      "votes": 1
    },
    {
      "ref": "ravikirandendukuri/word2vec-version1-original-dataset",
      "kernel_id": "26877462",
      "votes": 0
    },
    {
      "ref": "ravikirandendukuri/bert-version2-without-mnli-xnli",
      "kernel_id": "26848602",
      "votes": 2
    },
    {
      "ref": "ravikirandendukuri/bert-version3-with-xnli",
      "kernel_id": "26851948",
      "votes": 0
    },
    {
      "ref": "ravikirandendukuri/bert-version4-with-xnli-mnli",
      "kernel_id": "26853294",
      "votes": 1
    },
    {
      "ref": "ravikirandendukuri/distilbert-version4-with-mnli-xnli",
      "kernel_id": "26856146",
      "votes": 3
    },
    {
      "ref": "ravikirandendukuri/distilbert-version3-with-xnli",
      "kernel_id": "26855874",
      "votes": 1
    },
    {
      "ref": "ravikirandendukuri/notebook1a2e57f734",
      "kernel_id": "26925672",
      "votes": 1
    },
    {
      "ref": "ravikirandendukuri/bert-version1-with-mnli",
      "kernel_id": "26533936",
      "votes": 1
    },
    {
      "ref": "ravikirandendukuri/distilbert-version1-without-mnli-xnli",
      "kernel_id": "26597899",
      "votes": 0
    },
    {
      "ref": "priyanshuagwl/watson",
      "kernel_id": "27104566",
      "votes": 0
    },
    {
      "ref": "santiagomarruffo/contradiction-competition-sub",
      "kernel_id": "27606426",
      "votes": 1
    },
    {
      "ref": "as411011/contradictory-my-dear-watson-nlp-tensorflow",
      "kernel_id": "27921448",
      "votes": 6
    },
    {
      "ref": "kwangsoo2/dlappsclass-pytorch",
      "kernel_id": "27612562",
      "votes": 1
    },
    {
      "ref": "zhouyiming1/notebook60221a87d2",
      "kernel_id": "27541576",
      "votes": 1
    },
    {
      "ref": "athews/contradiction-or-entailment-let-s-find-out",
      "kernel_id": "28689985",
      "votes": 1
    },
    {
      "ref": "hosseinbahrami/a-simple-code-by-bert-with-xnli",
      "kernel_id": "28368720",
      "votes": 16
    },
    {
      "ref": "tracyporter/nli-cosine-similarity",
      "kernel_id": "28357139",
      "votes": 2
    },
    {
      "ref": "simimohsen/moh-watson",
      "kernel_id": "28820381",
      "votes": 1
    },
    {
      "ref": "hoseinrahayi/notebook630ee8e65e",
      "kernel_id": "28675094",
      "votes": 4
    },
    {
      "ref": "ltrahul/watson-solution-1",
      "kernel_id": "28804866",
      "votes": 10
    },
    {
      "ref": "rahulseetharaman/tpu-xlm-roberta",
      "kernel_id": "29730312",
      "votes": 13
    },
    {
      "ref": "rahulseetharaman/bert-base-multilingual",
      "kernel_id": "29321702",
      "votes": 2
    },
    {
      "ref": "rahulseetharaman/siamese-bert",
      "kernel_id": "29304128",
      "votes": 5
    },
    {
      "ref": "yagli18/contradictory-my-dear-watson",
      "kernel_id": "29899582",
      "votes": 1
    },
    {
      "ref": "smartpy/mydearwatson-domainadaptation",
      "kernel_id": "29442617",
      "votes": 0
    },
    {
      "ref": "nabilajahan/watson",
      "kernel_id": "29923453",
      "votes": 9
    },
    {
      "ref": "nabilajahan/wason",
      "kernel_id": "29924504",
      "votes": 11
    },
    {
      "ref": "devanshu12122/nlp-transformers-roberta-0-9255",
      "kernel_id": "29533567",
      "votes": 9
    },
    {
      "ref": "francescoliveras/contradictory-nn-tpu-en-es",
      "kernel_id": "29578648",
      "votes": 38
    },
    {
      "ref": "asfurnica/fast-ai-watson-entry",
      "kernel_id": "30025106",
      "votes": 8
    },
    {
      "ref": "beezus666/nlp-guide-jhoward",
      "kernel_id": "30963810",
      "votes": 11
    },
    {
      "ref": "immortalv5/contradictory",
      "kernel_id": "30553335",
      "votes": 0
    },
    {
      "ref": "yy123123/rf-lr-nb",
      "kernel_id": "30725223",
      "votes": 2
    },
    {
      "ref": "pkieliba/backtranslation-augmentation",
      "kernel_id": "30417071",
      "votes": 9
    },
    {
      "ref": "pkieliba/contradictory-my-dear-roberta",
      "kernel_id": "30452441",
      "votes": 7
    },
    {
      "ref": "abdullahhqaiser/training-xlm-r",
      "kernel_id": "30685063",
      "votes": 8
    },
    {
      "ref": "hummmmm/watson-i-guess-you-wrong-this-hypothesis-is",
      "kernel_id": "30461076",
      "votes": 2
    },
    {
      "ref": "antoinegoubert/xlmroberta-curriculum-learning-xnli-data-aug",
      "kernel_id": "30613762",
      "votes": 2
    },
    {
      "ref": "harrychentw/basic-pytorch-xlmroerta-model",
      "kernel_id": "30009964",
      "votes": 14
    },
    {
      "ref": "rayenghali023/simple-robertamodel-nlp",
      "kernel_id": "30069991",
      "votes": 31
    },
    {
      "ref": "arti1117/contradictory-my-dear-watson",
      "kernel_id": "31841595",
      "votes": 4
    },
    {
      "ref": "yaniv512/my-dear-watson",
      "kernel_id": "31419195",
      "votes": 13
    },
    {
      "ref": "blessontomjoseph/mdw-translation-en-all-1",
      "kernel_id": "31322467",
      "votes": 2
    },
    {
      "ref": "alihigo/nli-xlm-roberta",
      "kernel_id": "31864232",
      "votes": 9
    },
    {
      "ref": "jubaxiii/notebook63cabe4ae7",
      "kernel_id": "31462124",
      "votes": 0
    },
    {
      "ref": "sumitkumar0095/team-8",
      "kernel_id": "31966958",
      "votes": 0
    },
    {
      "ref": "gazu468/all-about-bert-you-need-to-know",
      "kernel_id": "32665951",
      "votes": 180
    },
    {
      "ref": "blessontomjoseph/my-dear-watson-pytorch-optuna",
      "kernel_id": "32070992",
      "votes": 4
    },
    {
      "ref": "alessandrozanette/natural-language-inference-with-bert-model",
      "kernel_id": "32971519",
      "votes": 7
    },
    {
      "ref": "mkearney/tutorial-cleaned-up",
      "kernel_id": "33908714",
      "votes": 4
    },
    {
      "ref": "kevvad/contradictory-watson-nlp",
      "kernel_id": "33498570",
      "votes": 6
    },
    {
      "ref": "trushatalati/nlp-watson-multilingual-bert",
      "kernel_id": "33376864",
      "votes": 18
    },
    {
      "ref": "lonnieqin/natural-language-inference-with-bert",
      "kernel_id": "33240773",
      "votes": 54
    },
    {
      "ref": "lonnieqin/natural-language-inference-with-distilbert",
      "kernel_id": "33286646",
      "votes": 9
    },
    {
      "ref": "szmuschi/notebookaae5b3c7ca",
      "kernel_id": "33303962",
      "votes": 1
    },
    {
      "ref": "szmuschi/bert-1",
      "kernel_id": "33979501",
      "votes": 3
    },
    {
      "ref": "szmuschi/distilbert-0",
      "kernel_id": "33979030",
      "votes": 0
    },
    {
      "ref": "vaishakgkumar/contradictory-my-dear-watson",
      "kernel_id": "33455443",
      "votes": 2
    },
    {
      "ref": "moathmohamed/natural-language-inference-with-bert",
      "kernel_id": "33459871",
      "votes": 3
    },
    {
      "ref": "matteoperfidio/cmdw-xlm-roberta-train",
      "kernel_id": "33745948",
      "votes": 11
    },
    {
      "ref": "sanandachowdhury/contradictory-watson",
      "kernel_id": "33506042",
      "votes": 0
    },
    {
      "ref": "bogdanm12345/notebook8c2461c0b0",
      "kernel_id": "33006792",
      "votes": 3
    },
    {
      "ref": "vijayee/nlpwork",
      "kernel_id": "33018302",
      "votes": 2
    },
    {
      "ref": "kushagramakharia/tensorflow-detecting-contradiction-using-roberta",
      "kernel_id": "34636593",
      "votes": 9
    },
    {
      "ref": "szmuschi/notebookc9b33c6f8e",
      "kernel_id": "34065677",
      "votes": 0
    },
    {
      "ref": "aminemimounalaissami/text-analysis-test",
      "kernel_id": "34973526",
      "votes": 0
    },
    {
      "ref": "aminemimounalaissami/cmdw-xlm-roberta-train",
      "kernel_id": "34973781",
      "votes": 0
    },
    {
      "ref": "matteoperfidio/cmdw-xlm-roberta-test",
      "kernel_id": "34188967",
      "votes": 14
    },
    {
      "ref": "famapa/using-nli-to-detect-contradictions-and-truths",
      "kernel_id": "34097995",
      "votes": 3
    },
    {
      "ref": "sambitmukherjee/watson-2-a-set-of-baselines",
      "kernel_id": "35763194",
      "votes": 17
    },
    {
      "ref": "sambitmukherjee/watson-1-eda-model-validation-schemes",
      "kernel_id": "35562189",
      "votes": 10
    },
    {
      "ref": "zahid0/contradictory-my-dear-watson",
      "kernel_id": "35159878",
      "votes": 2
    },
    {
      "ref": "abhigyaverma/tf-xlm-roberta-large",
      "kernel_id": "35663191",
      "votes": 16
    },
    {
      "ref": "abhigyaverma/bert-base-multilingual-cased",
      "kernel_id": "35652809",
      "votes": 7
    },
    {
      "ref": "fadynoshy/natural-language-inferencing-nli",
      "kernel_id": "35884185",
      "votes": 9
    },
    {
      "ref": "beydaguler/contradictory-my-dear-watson",
      "kernel_id": "35041946",
      "votes": 9
    },
    {
      "ref": "nikoolaylovyagin/contradictory-my-dear-watson-version-1",
      "kernel_id": "35199508",
      "votes": 14
    },
    {
      "ref": "wepasabyrow/contradictory-my-dear-watson",
      "kernel_id": "35770831",
      "votes": 3
    },
    {
      "ref": "maksimkotenkov/dear-watson-need-help",
      "kernel_id": "35329724",
      "votes": 0
    },
    {
      "ref": "maksimkotenkov/natural-language-inference-with-bert",
      "kernel_id": "35867537",
      "votes": 0
    },
    {
      "ref": "maksimkotenkov/contradictory-my-dear-watson-need-help",
      "kernel_id": "35945195",
      "votes": 0
    },
    {
      "ref": "prosenjitgoswami/cmdw-xlm-roberta-test",
      "kernel_id": "35362126",
      "votes": 1
    },
    {
      "ref": "williamsutcliffe/watson-finetuning-roberta",
      "kernel_id": "35445246",
      "votes": 0
    },
    {
      "ref": "anantpandey29/watson-nli-with-xlm-roberta",
      "kernel_id": "36134447",
      "votes": 1
    },
    {
      "ref": "hugolopg/nias-ia-nlp-contradictory-watson",
      "kernel_id": "36262470",
      "votes": 19
    },
    {
      "ref": "tracyporter/contradictory-tf-bert",
      "kernel_id": "37245235",
      "votes": 18
    },
    {
      "ref": "gautamimamidala/my-dear-watson-2",
      "kernel_id": "37579753",
      "votes": 12
    },
    {
      "ref": "khodzhaevanilufar/xlm-roberta-large",
      "kernel_id": "37941816",
      "votes": 4
    },
    {
      "ref": "yeemeitsang/nlp-logical-contradiction",
      "kernel_id": "37783935",
      "votes": 4
    },
    {
      "ref": "cykadyy/my-dear-watson-with-huggingface",
      "kernel_id": "37377118",
      "votes": 12
    },
    {
      "ref": "mahbubhasanuunical/mdw-model-train-test",
      "kernel_id": "37342941",
      "votes": 5
    },
    {
      "ref": "mahbubhasanuunical/mdw-datapreprocess-train-test",
      "kernel_id": "37302402",
      "votes": 4
    },
    {
      "ref": "kushanbhagya/contradictory-my-dear-watson",
      "kernel_id": "37440298",
      "votes": 11
    },
    {
      "ref": "luistalavera/contradictory-my-dear-watson-eda-huggingface",
      "kernel_id": "38420030",
      "votes": 26
    },
    {
      "ref": "yukikawawaki/ensemblelearning",
      "kernel_id": "38648756",
      "votes": 0
    },
    {
      "ref": "yukikawawaki/xlmbert",
      "kernel_id": "38411272",
      "votes": 2
    },
    {
      "ref": "manojkumarpentapalli/manoj-nli",
      "kernel_id": "38840467",
      "votes": 7
    },
    {
      "ref": "robertlee05/contradictory-my-dear-watson-eda-huggingface",
      "kernel_id": "38950749",
      "votes": 2
    },
    {
      "ref": "suraj520/deberta-know-train-infer",
      "kernel_id": "39107186",
      "votes": 37
    },
    {
      "ref": "raviiloveyou/contradication-eda-berttf-with-automl",
      "kernel_id": "39484177",
      "votes": 14
    },
    {
      "ref": "greyisbetter/tokenization-word-subword",
      "kernel_id": "39170894",
      "votes": 8
    },
    {
      "ref": "abhinav010/contradictory-my-dear-watson-bert-eda",
      "kernel_id": "39637077",
      "votes": 3
    },
    {
      "ref": "patrickadan/notebook-contradictory-watson-patrick",
      "kernel_id": "39351713",
      "votes": 4
    },
    {
      "ref": "vibe95/contradictory-my-dear-watson",
      "kernel_id": "40805423",
      "votes": 3
    },
    {
      "ref": "abhishekpsingh/pytorch-xlm-roberta-mydearwatson",
      "kernel_id": "40858699",
      "votes": 3
    },
    {
      "ref": "heiswicked/cmdw-huggingface-w-lora-infer",
      "kernel_id": "40155230",
      "votes": 3
    },
    {
      "ref": "heiswicked/cmdw-huggingface-w-lora-train",
      "kernel_id": "40150755",
      "votes": 2
    },
    {
      "ref": "heiswicked/cmdw-lightning-2-0-and-wandb-infer",
      "kernel_id": "40085077",
      "votes": 1
    },
    {
      "ref": "heiswicked/cmdw-lightning-2-0-and-wandb-train",
      "kernel_id": "40055882",
      "votes": 0
    },
    {
      "ref": "heiswicked/cmdw-dataset",
      "kernel_id": "40428551",
      "votes": 1
    },
    {
      "ref": "miguelgonzlezortiz/contradictory-my-dear-watson-debertav3-base",
      "kernel_id": "40121853",
      "votes": 0
    },
    {
      "ref": "lizonns/my-dear-watson",
      "kernel_id": "40770464",
      "votes": 8
    },
    {
      "ref": "aaditshukla/tensorflow",
      "kernel_id": "40245266",
      "votes": 9
    },
    {
      "ref": "dskavinskaya/contradictory-transformers-and-j-howard-tutorial",
      "kernel_id": "40004718",
      "votes": 11
    },
    {
      "ref": "alexia/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "41457115",
      "votes": 515
    },
    {
      "ref": "adnanzaidi/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "41740026",
      "votes": 48
    },
    {
      "ref": "l048596/contradictions-bert-tensorflow-50-86",
      "kernel_id": "41072419",
      "votes": 9
    },
    {
      "ref": "l048596/contradictions-xlm-roberta-pytorch-87-41",
      "kernel_id": "41834862",
      "votes": 9
    },
    {
      "ref": "rajatraj0502/contradictory-my-dear-watson",
      "kernel_id": "41336440",
      "votes": 8
    },
    {
      "ref": "lusfernandotorres/identifying-contradictions-with-xlmroberta",
      "kernel_id": "41906760",
      "votes": 22
    },
    {
      "ref": "anyaborisyuk/nli-transformers-tutorial-xlm-roberta",
      "kernel_id": "41337261",
      "votes": 33
    },
    {
      "ref": "sourabhsingh03993493/tokenization-of-text",
      "kernel_id": "41847030",
      "votes": 5
    },
    {
      "ref": "alinew/modified-tutorial",
      "kernel_id": "41163342",
      "votes": 6
    },
    {
      "ref": "muhfaizan001/infer-mdeberta-v3-base-mnli-xnli",
      "kernel_id": "41321931",
      "votes": 5
    },
    {
      "ref": "haraldbrinck/contradictory-deberta",
      "kernel_id": "41849346",
      "votes": 3
    },
    {
      "ref": "lechuck666/elementary-watson",
      "kernel_id": "42369843",
      "votes": 0
    },
    {
      "ref": "dillonwall/watson-bert-pytorch",
      "kernel_id": "42799714",
      "votes": 9
    },
    {
      "ref": "khanghoang1215/gpu-sample-notebook-midterm",
      "kernel_id": "42889557",
      "votes": 1
    },
    {
      "ref": "mariabistro/contradictory-my-dear-watson-roberta-xlm",
      "kernel_id": "42117307",
      "votes": 7
    },
    {
      "ref": "yasinak/xlm-roberta-with-early-stopping-huggingface",
      "kernel_id": "43599769",
      "votes": 7
    },
    {
      "ref": "picetrp/gpu-sample-notebook",
      "kernel_id": "43711550",
      "votes": 1
    },
    {
      "ref": "picetrp/nli-transformers-tutorial-xlm-roberta",
      "kernel_id": "43717620",
      "votes": 10
    },
    {
      "ref": "shido49221/gpu-sample-notebook249",
      "kernel_id": "43677949",
      "votes": 0
    },
    {
      "ref": "jasonheesanglee/email-notification-colab-session-autoshutdown",
      "kernel_id": "43391425",
      "votes": 67
    },
    {
      "ref": "randyli2/watson-starter",
      "kernel_id": "44672568",
      "votes": 5
    },
    {
      "ref": "andreaskaufmann/sherlock-gpt-4o",
      "kernel_id": "44533473",
      "votes": 10
    },
    {
      "ref": "swastikpandey0813/notebook0705830133",
      "kernel_id": "44122051",
      "votes": 1
    },
    {
      "ref": "staratnyte/contradictory-watson",
      "kernel_id": "45970116",
      "votes": 11
    },
    {
      "ref": "leoxu1243876/my-dear-watson-bert-base-multilingual-baseline",
      "kernel_id": "45360383",
      "votes": 5
    },
    {
      "ref": "kanishk026/bert-model",
      "kernel_id": "45250788",
      "votes": 8
    },
    {
      "ref": "heshamzaky/final",
      "kernel_id": "45763510",
      "votes": 15
    },
    {
      "ref": "k1dobu3/574e7f8d0g7g0d9",
      "kernel_id": "45968102",
      "votes": 0
    },
    {
      "ref": "juliocesarspanholi/trabalho-contradictory-tf-bert-2",
      "kernel_id": "46591118",
      "votes": 2
    },
    {
      "ref": "lucassordi/nli-transformers-tutorial-translated",
      "kernel_id": "46595650",
      "votes": 0
    },
    {
      "ref": "ganeshabhijith/contradictory-my-dear-watson",
      "kernel_id": "46580187",
      "votes": 4
    },
    {
      "ref": "hatemalamir/entailment-bert",
      "kernel_id": "47385038",
      "votes": 0
    },
    {
      "ref": "lonnieqin/ai-generated-text-detection-with-distilbert",
      "kernel_id": "47925886",
      "votes": 16
    },
    {
      "ref": "dhineshbabbu/adb-contradictory-my-dear-watson",
      "kernel_id": "47890073",
      "votes": 2
    },
    {
      "ref": "andrusha95/keras-nlp-starter-nb",
      "kernel_id": "47959604",
      "votes": 6
    },
    {
      "ref": "igorik/watsannotebook1",
      "kernel_id": "47409674",
      "votes": 0
    },
    {
      "ref": "trinhchung/kltn-detect-conflict",
      "kernel_id": "48080172",
      "votes": 0
    },
    {
      "ref": "sergeypolivin/hf-distilbert-multilingual-trainer-api",
      "kernel_id": "49118762",
      "votes": 5
    },
    {
      "ref": "vinaykashyap52/contradictory-tf-bert-sequence",
      "kernel_id": "49680994",
      "votes": 4
    },
    {
      "ref": "vaibhavbawej07/contradictory-my-dear-watson-solution",
      "kernel_id": "50978509",
      "votes": 7
    },
    {
      "ref": "riyaraizada/contradictory-my-dear-watson",
      "kernel_id": "50776916",
      "votes": 12
    },
    {
      "ref": "kkamal2003/contradictory-my-dear-watson",
      "kernel_id": "50947241",
      "votes": 9
    },
    {
      "ref": "tarndeepsingh16/contradictory-my-dear-watson",
      "kernel_id": "50772325",
      "votes": 20
    },
    {
      "ref": "mohammedinfas/contradictory-tfbert",
      "kernel_id": "51417682",
      "votes": 1
    },
    {
      "ref": "kepler296b/wabertson",
      "kernel_id": "51410534",
      "votes": 2
    },
    {
      "ref": "yashpuri1912/my-dear-watson",
      "kernel_id": "51782984",
      "votes": 52
    },
    {
      "ref": "alliehumphrey/allie-humphrey-tutorial-notebook",
      "kernel_id": "51440929",
      "votes": 3
    },
    {
      "ref": "romeal/notebook8d377f0ad4",
      "kernel_id": "51417985",
      "votes": 4
    },
    {
      "ref": "wrebelz/contradiction",
      "kernel_id": "52345781",
      "votes": 3
    },
    {
      "ref": "ssravipati/modified-tutorial",
      "kernel_id": "52967143",
      "votes": 0
    },
    {
      "ref": "mukesharipaka/contradictory-bert",
      "kernel_id": "52949978",
      "votes": 5
    },
    {
      "ref": "mukesharipaka/tech-lstm",
      "kernel_id": "52818472",
      "votes": 2
    },
    {
      "ref": "raulmois05/sherlock-cata-and-watson-raul-on-the-case",
      "kernel_id": "52993970",
      "votes": 11
    },
    {
      "ref": "ravi6389/ravi-entailment-v2",
      "kernel_id": "53645218",
      "votes": 2
    },
    {
      "ref": "rigveddesai/sentence-pair-classifier",
      "kernel_id": "53303191",
      "votes": 1
    },
    {
      "ref": "ssravipati/contradictory-bert",
      "kernel_id": "53087667",
      "votes": 1
    },
    {
      "ref": "raulmois05/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "53345153",
      "votes": 0
    },
    {
      "ref": "vempaliakhil96/exp-1",
      "kernel_id": "54904481",
      "votes": 2
    },
    {
      "ref": "nadiahamane/detecting-contradiction-and-entailment-in-multilin",
      "kernel_id": "54688628",
      "votes": 5
    },
    {
      "ref": "shivambhardwaj6969/contradictorynotebook-comp",
      "kernel_id": "54220184",
      "votes": 4
    },
    {
      "ref": "shadesh/contradictory-my-dear-watson",
      "kernel_id": "54631346",
      "votes": 4
    },
    {
      "ref": "shadesh/contradictory-my-dear-watson-with-nlp",
      "kernel_id": "54368887",
      "votes": 4
    },
    {
      "ref": "shadesh/just-fun",
      "kernel_id": "54873208",
      "votes": 6
    },
    {
      "ref": "vempaliakhil96/exp-2",
      "kernel_id": "55170711",
      "votes": 4
    },
    {
      "ref": "vempaliakhil96/03-exp-inf",
      "kernel_id": "55401661",
      "votes": 5
    },
    {
      "ref": "thibaultbalsan/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "55278897",
      "votes": 0
    },
    {
      "ref": "pablorrv/watson",
      "kernel_id": "55863730",
      "votes": 1
    },
    {
      "ref": "xyznihal/random-forest-algorithm-for-my-dear-watson",
      "kernel_id": "56837092",
      "votes": 25
    },
    {
      "ref": "jamessuryaputra/wrecking-text-deaf",
      "kernel_id": "56474007",
      "votes": 1
    },
    {
      "ref": "shadesh/contradictory-my-dear-watson-python-package-index",
      "kernel_id": "57844519",
      "votes": 3
    },
    {
      "ref": "shadesh/my-dear-watson-lstm-model",
      "kernel_id": "58015619",
      "votes": 11
    },
    {
      "ref": "hellixir/watson-nli-transformers",
      "kernel_id": "59053748",
      "votes": 1
    },
    {
      "ref": "ruchikarani/contradictory-my-dear-watson-prediction",
      "kernel_id": "60583700",
      "votes": 1
    },
    {
      "ref": "daniyaakhmedova/dania-nlp-task-contradictr",
      "kernel_id": "61757429",
      "votes": 1
    },
    {
      "ref": "sardorwwe/my-dear-watson-predict",
      "kernel_id": "61424968",
      "votes": 1
    },
    {
      "ref": "bluepenguin2204/contradictory-my-dear-watson",
      "kernel_id": "61777915",
      "votes": 4
    },
    {
      "ref": "lukautjesinovic/bert-fine-tunning-with-bayesian-hpo",
      "kernel_id": "62748876",
      "votes": 3
    },
    {
      "ref": "evelynartoria/watson-custom-dataset-and-dataloader-pytorch-nlp",
      "kernel_id": "62171135",
      "votes": 2
    },
    {
      "ref": "mohamedmaher5/contradictory-my-dear-watson-nli",
      "kernel_id": "62556791",
      "votes": 18
    },
    {
      "ref": "sourav22899/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "63431589",
      "votes": 3
    },
    {
      "ref": "sourav22899/notebook70f87ad383",
      "kernel_id": "63528689",
      "votes": 1
    },
    {
      "ref": "madeleinepollack/assignment-1-ensemble",
      "kernel_id": "63525698",
      "votes": 1
    },
    {
      "ref": "madeleinepollack/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "63525479",
      "votes": 0
    },
    {
      "ref": "alexchalk/contradictory-dear-watson-transformers-simple",
      "kernel_id": "63531060",
      "votes": 2
    },
    {
      "ref": "andreygulincodim/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "63504549",
      "votes": 1
    },
    {
      "ref": "karlzhu99/watson-xml-r-nli-train",
      "kernel_id": "63468210",
      "votes": 3
    },
    {
      "ref": "catherinening/common-experience-competition-d17092",
      "kernel_id": "63522189",
      "votes": 2
    },
    {
      "ref": "serenaww/contradictory-xlm-base-xlm-large",
      "kernel_id": "63524529",
      "votes": 0
    },
    {
      "ref": "serenaww/optimal-ensemble",
      "kernel_id": "63912334",
      "votes": 1
    },
    {
      "ref": "ilkergungor/bert-tokenizer-truncation-ridge-torch-cuda",
      "kernel_id": "63513088",
      "votes": 12
    },
    {
      "ref": "ysfchbn/ensemble-model",
      "kernel_id": "63671915",
      "votes": 11
    },
    {
      "ref": "ysfchbn/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "63479214",
      "votes": 2
    },
    {
      "ref": "panagiotistsimpos/team-2-common-experience-code",
      "kernel_id": "63480279",
      "votes": 2
    },
    {
      "ref": "jackzhang111/train-with-xlm-roberta",
      "kernel_id": "63665821",
      "votes": 6
    },
    {
      "ref": "harigoshika/multilingual-text-entailment-with-transformers",
      "kernel_id": "63960016",
      "votes": 3
    },
    {
      "ref": "shriyakaram2001/xlm-roberta-mnli",
      "kernel_id": "63604098",
      "votes": 3
    },
    {
      "ref": "sourav22899/contradictory-my-dear-watson",
      "kernel_id": "64198891",
      "votes": 3
    },
    {
      "ref": "raja6242/contradictory-my-dear-watson",
      "kernel_id": "64803675",
      "votes": 0
    },
    {
      "ref": "serenaww/contradictory-my-dear-watson",
      "kernel_id": "64200833",
      "votes": 2
    },
    {
      "ref": "jackzhang111/ensemble-model-f4e43c",
      "kernel_id": "64033604",
      "votes": 2
    },
    {
      "ref": "manintangkunathan/contradictory-my-dear-watson",
      "kernel_id": "64048094",
      "votes": 16
    },
    {
      "ref": "alehandro35/train-xlm-roberta-on-t4x2-using-pytorch",
      "kernel_id": "65220121",
      "votes": 6
    },
    {
      "ref": "srilathabondala/notebookf-sri",
      "kernel_id": "65940174",
      "votes": 2
    },
    {
      "ref": "ghanatheyakashkumar/xlm-roberta-base-multi",
      "kernel_id": "65369553",
      "votes": 8
    },
    {
      "ref": "yasminebenj/tutorial-notebook",
      "kernel_id": "65874353",
      "votes": 1
    },
    {
      "ref": "kmjoshi8/premises-with-sentence-similarity",
      "kernel_id": "66935018",
      "votes": 1
    },
    {
      "ref": "muratsahin1992/contradictory-my-dear-watson-competition",
      "kernel_id": "66694139",
      "votes": 23
    },
    {
      "ref": "zjzhao1002/contradictory-xlm-roberta",
      "kernel_id": "66914170",
      "votes": 19
    },
    {
      "ref": "willingtodev/notebookc4502036dc",
      "kernel_id": "67594030",
      "votes": 1
    },
    {
      "ref": "kyawswarhein/ensemble-model",
      "kernel_id": "67114778",
      "votes": 0
    },
    {
      "ref": "kyawswarhein/gpu-sample-notebook-ksh",
      "kernel_id": "67111665",
      "votes": 0
    },
    {
      "ref": "kyawswarhein/contradictory-dear-watson-transformers-simple",
      "kernel_id": "67132206",
      "votes": 0
    },
    {
      "ref": "vedantdeore07/shvk-bert",
      "kernel_id": "67614362",
      "votes": 2
    },
    {
      "ref": "jesusdeleon19/contradictory-my-dear-watson-63-accuracy",
      "kernel_id": "69593290",
      "votes": 7
    },
    {
      "ref": "jesusdeleon19/contradictory-my-dear-watson-transfer-learning",
      "kernel_id": "69603202",
      "votes": 5
    },
    {
      "ref": "alperugurca/contradictory-my-dear-watson",
      "kernel_id": "69362019",
      "votes": 2
    },
    {
      "ref": "rominaemilova/contradictory-my-dear-watson",
      "kernel_id": "69663039",
      "votes": 1
    },
    {
      "ref": "italolmm/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "69782848",
      "votes": 3
    },
    {
      "ref": "eunoialituradh/textretailmentrecongnition",
      "kernel_id": "70402448",
      "votes": 1
    },
    {
      "ref": "nicocook/electra-submission",
      "kernel_id": "71359268",
      "votes": 0
    },
    {
      "ref": "aslemimolu/ok-dilli-metinlerde-eli-ki-ve-kapsama-tespiti",
      "kernel_id": "71695465",
      "votes": 30
    },
    {
      "ref": "heherr/xlm-roberta-5k-lightgbm",
      "kernel_id": "71178478",
      "votes": 3
    },
    {
      "ref": "mikeb3665/cmdw-starter-notebook",
      "kernel_id": "72444657",
      "votes": 3
    },
    {
      "ref": "leeju1/mydearwatson-deberta-mdeberta",
      "kernel_id": "73415319",
      "votes": 3
    },
    {
      "ref": "karishmabattina/watson-competition-wip",
      "kernel_id": "74783617",
      "votes": 5
    },
    {
      "ref": "trixmixing1ai/notebook366f7d1d3c",
      "kernel_id": "74999852",
      "votes": 0
    },
    {
      "ref": "luiscrmartins/contradictory-dearwatson-using-roberta",
      "kernel_id": "75074483",
      "votes": 8
    },
    {
      "ref": "vladlen32230/nli-debertav2model-fine-tuning",
      "kernel_id": "75012644",
      "votes": 0
    },
    {
      "ref": "joaovitorpacheco/contradictorywatson-3-0",
      "kernel_id": "75871925",
      "votes": 0
    },
    {
      "ref": "tensortorch001/notebook9586c536f8",
      "kernel_id": "76351476",
      "votes": 0
    },
    {
      "ref": "aunanya875/hypothesis-prediction-using-xlm-roberta",
      "kernel_id": "77480602",
      "votes": 10
    },
    {
      "ref": "ldausl/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "77674522",
      "votes": 4
    },
    {
      "ref": "ldausl/watson-xlm-r-nli-inference",
      "kernel_id": "77675181",
      "votes": 0
    },
    {
      "ref": "ldausl/contradictory-my-dear-watson",
      "kernel_id": "77674979",
      "votes": 3
    },
    {
      "ref": "canfaneat/contradictory-fisrt-try",
      "kernel_id": "78671275",
      "votes": 6
    },
    {
      "ref": "qinyuyang171/self-experiment1",
      "kernel_id": "78934159",
      "votes": 2
    },
    {
      "ref": "xuepengxppx/contradictory-xlm-roberta",
      "kernel_id": "78511824",
      "votes": 9
    },
    {
      "ref": "cherry56131/ftest1",
      "kernel_id": "79797783",
      "votes": 2
    },
    {
      "ref": "rajithravikumargwu/roberta-xlm-split-augmented-v1",
      "kernel_id": "81008708",
      "votes": 2
    },
    {
      "ref": "rajithravikumargwu/xlmroberta-hf-full-multilingual",
      "kernel_id": "81003844",
      "votes": 1
    },
    {
      "ref": "rajithravikumargwu/contradictory-roberta-xlm-split-models",
      "kernel_id": "81005896",
      "votes": 1
    },
    {
      "ref": "tristanjorge97/contradictory-my-dear-watson-xlm-roberta",
      "kernel_id": "82717763",
      "votes": 13
    },
    {
      "ref": "farahdimshawy/contradictory-tf-bert",
      "kernel_id": "82621317",
      "votes": 0
    },
    {
      "ref": "yohanesadrian/pytorch-framework-xml-roberta-model-ver-1-5",
      "kernel_id": "82599757",
      "votes": 3
    },
    {
      "ref": "randomniebukvi/contradictory-whatson-nlp-nli",
      "kernel_id": "82192248",
      "votes": 0
    },
    {
      "ref": "ferdinandlowata/pytorch-framework-xml-roberta-model-ver-1-5",
      "kernel_id": "83642420",
      "votes": 0
    },
    {
      "ref": "mettakannyav/group1-code",
      "kernel_id": "83705273",
      "votes": 1
    },
    {
      "ref": "ezhsluny/contradictory",
      "kernel_id": "83286901",
      "votes": 0
    },
    {
      "ref": "pradeeplachireddy/nli-contradictory-pretrained",
      "kernel_id": "84075303",
      "votes": 4
    },
    {
      "ref": "tomy00/contradictory-my-dear-watson",
      "kernel_id": "84845406",
      "votes": 3
    },
    {
      "ref": "nursentore/notebook5e674430a6",
      "kernel_id": "86786414",
      "votes": 0
    },
    {
      "ref": "chenzijie1018/contradictory-my-dear-watson-everything-y-2520aa",
      "kernel_id": "86076616",
      "votes": 0
    },
    {
      "ref": "antonglushko1/dear-watson",
      "kernel_id": "88448376",
      "votes": 8
    },
    {
      "ref": "jot079/notebook7cf30dafd9",
      "kernel_id": "90799112",
      "votes": 0
    },
    {
      "ref": "luckypatidar11145/contradictory-dataset",
      "kernel_id": "90577849",
      "votes": 0
    },
    {
      "ref": "yifanbu/contradictory-my-dear-watson",
      "kernel_id": "92265224",
      "votes": 1
    },
    {
      "ref": "onepawn/contradictory-my-dear-watson-xlm-roberta-ipynb",
      "kernel_id": "93573161",
      "votes": 2
    },
    {
      "ref": "closetotheedge/contradictory-my-dear-watson-xlm-roberta",
      "kernel_id": "94962599",
      "votes": 0
    },
    {
      "ref": "hmnshudhmn24/contradictory-my-dear-watson-competition",
      "kernel_id": "94978210",
      "votes": 2
    },
    {
      "ref": "daropenagos/notebookf987f73280",
      "kernel_id": "95742972",
      "votes": 0
    },
    {
      "ref": "daropenagos/notebook74d322f470",
      "kernel_id": "95981011",
      "votes": 4
    },
    {
      "ref": "nighatraza/kerasnlp-starter-notebook-contradictory-dearwatson",
      "kernel_id": "96967838",
      "votes": 0
    },
    {
      "ref": "osmansevili/my-dear-watson",
      "kernel_id": "96864456",
      "votes": 0
    },
    {
      "ref": "dvnber/notebookd193d827e5",
      "kernel_id": "97438809",
      "votes": 1
    },
    {
      "ref": "nesema/notebook1ba8051822",
      "kernel_id": "97324396",
      "votes": 0
    },
    {
      "ref": "ganyifu/ganyifu",
      "kernel_id": "100904001",
      "votes": 0
    },
    {
      "ref": "zhenbao1/my-dear-watson-v2",
      "kernel_id": "100875114",
      "votes": 0
    },
    {
      "ref": "gamzebabayigit/mydearwatson",
      "kernel_id": "102276906",
      "votes": 2
    },
    {
      "ref": "evgendvorkin/moritzlaurer-mdeberta-v3-base-mnli-x-v5",
      "kernel_id": "104534360",
      "votes": 1
    },
    {
      "ref": "kirkcorwin/kc-contradictory-my-dear-watson-competition",
      "kernel_id": "104061568",
      "votes": 0
    },
    {
      "ref": "piratesofmonotony/osmmm",
      "kernel_id": "105610824",
      "votes": 7
    },
    {
      "ref": "masanakashima/watson-nli-xlm-roberta-solution",
      "kernel_id": "106756660",
      "votes": 1
    },
    {
      "ref": "shreedharshask/notebook9162d6495a",
      "kernel_id": "106655883",
      "votes": 0
    },
    {
      "ref": "arkatkhasanov/multilingual-nli-with-mdeberta-v3",
      "kernel_id": "108374718",
      "votes": 7
    },
    {
      "ref": "shaikabdussattar/contradicting-my-dear-watson-crosslingual",
      "kernel_id": "109716638",
      "votes": 3
    },
    {
      "ref": "itsyoursumit/tutorial-notebook",
      "kernel_id": "110079757",
      "votes": 1
    },
    {
      "ref": "cerxxxx/contradictory-my-dear-watson",
      "kernel_id": "111047427",
      "votes": 0
    },
    {
      "ref": "davidemmanuel1/gemma-4-e2b-finetuning",
      "kernel_id": "114774241",
      "votes": 0
    },
    {
      "ref": "davidemmanuel1/xml-roberta-ensemble",
      "kernel_id": "114772350",
      "votes": 7
    },
    {
      "ref": "davidemmanuel1/e5-fnn",
      "kernel_id": "114758682",
      "votes": 1
    },
    {
      "ref": "mdabdulalhasib/simple-deberta-v-and-conv1d-solution",
      "kernel_id": "114640599",
      "votes": 0
    },
    {
      "ref": "fatihoter/notebookb3ddd74d02",
      "kernel_id": "116788328",
      "votes": 0
    },
    {
      "ref": "evgendvorkin/moritzlaurer-mdeberta-v3-base-mnli-x-v5-2",
      "kernel_id": "121175826",
      "votes": 3
    },
    {
      "ref": "edwardjohnwashins/contradictory-my-dear-watson2",
      "kernel_id": "121990631",
      "votes": 0
    },
    {
      "ref": "ye070301/contradictory",
      "kernel_id": "121991790",
      "votes": 3
    },
    {
      "ref": "dedquoc/my-dear-watson-multilingual-nli-baseline",
      "kernel_id": "126424729",
      "votes": 4
    },
    {
      "ref": "aounyoussef/topone",
      "kernel_id": "128499132",
      "votes": 3
    },
    {
      "ref": "bidyutmahanta/watson-notebook",
      "kernel_id": "129193453",
      "votes": 0
    },
    {
      "ref": "matheusbonjour/watson-xlm-roberta-multilingual-nli",
      "kernel_id": "129477467",
      "votes": 1
    },
    {
      "ref": "shashvatsingham/the-hypothesis-only-test-auditing-nli",
      "kernel_id": "130574648",
      "votes": 2
    },
    {
      "ref": "vincenthwq/cmdw-nli-lightgbm-v2",
      "kernel_id": "130909784",
      "votes": 0
    },
    {
      "ref": "maximolorenzoylosada/contradictory-watson-first-valid-baseline",
      "kernel_id": "130230000",
      "votes": 2
    },
    {
      "ref": "trk95ls/nlp-text-processing",
      "kernel_id": "132426668",
      "votes": 2
    },
    {
      "ref": "datascikhan/multilingual-nli-mastery-xlm-roberta-pipeline",
      "kernel_id": "134779581",
      "votes": 6
    },
    {
      "ref": "datascikhan/watson-multilingual-nli-master-pipeline",
      "kernel_id": "134831176",
      "votes": 6
    },
    {
      "ref": "kurtmeehan/lying-detective-nli",
      "kernel_id": "136424506",
      "votes": 0
    }
  ],
  "count": 577
}