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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01emilylearning /cond_ft_none_on_reddit__prcnt_100__test_run_False__xlm-roberta-base1M<n<10M0 likes99 downloads4y agoHugging Face02emilylearning /cond_ft_subreddit_on_reddit__prcnt_100__test_run_False__xlm-roberta-base1M<n<10M0 likes85 downloads4y agoHugging Face03emilylearning /cond_ft_none_on_reddit__prcnt_na__test_run_True__xlm-roberta-base0 likes36 downloads4y agoHugging Face04Kashif786 /sindhi-gold-tokenized-512-for-xlm-roberta-bert100K<n<1M0 likes30 downloads1mo agoHugging Face05davidfant /rapidapi-example-responses-tokenized-xlm-roberta Dataset Card for "rapidapi-example-responses-tokenized-xlm-roberta" More Information needed text10K<n<100K0 likes25 downloads3y agoHugging Face06emilylearning /cond_ft_subreddit_on_reddit__prcnt_20__test_run_False__xlm-roberta-base0 likes24 downloads4y agoHugging Face07thibaudltn /twitter_ae_xlm_roberta_sentiment_stratifiedtabular10K<n<100K0 likes24 downloads7mo agoHugging Face08emilylearning /cond_ft_none_on_reddit__prcnt_20__test_run_False__xlm-roberta-base0 likes22 downloads4y agoHugging Face09merve /parsed-dataset-xlm-robertatextn<1K0 likes19 downloads4y agoHugging Face10vnktrmnb /autotrain-data-qa_xlm_roberta_large_tesquad2 AutoTrain Dataset for project: qa_xlm_roberta_large_tesquad2 Dataset Description This dataset has been automatically processed by AutoTrain for project qa_xlm_roberta_large_tesquad2. Languages The BCP-47 code for the dataset's language is unk. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "context": "7 \u0c0f\u0c2a\u0c4d\u0c30\u0c3f\u0c32\u0c4d 1963\u0c28, \u0c26\u0c47\u0c36\u0c02 \u0c24\u0c28… See the full description on the dataset page: https://huggingface.co/datasets/vnktrmnb/autotrain-data-qa_xlm_roberta_large_tesquad2.0 likes14 downloads3y agoHugging Face11tchubakov /kgz_dataset_chunked_medium_xlm_roberta1M<n<10M0 likes12 downloads9mo agoHugging Face12NochnoyRitzar /ner_locations_dataset_pretokenized_xlm_roberta1M<n<10M0 likes9 downloads3y agoHugging Face13NochnoyRitzar /ner_locations_dataset_pretokenized_xlm_roberta_large_conlltext1M<n<10M0 likes8 downloads3y agoHugging Face14merve /xlm-roberta-large-dftextn<1K0 likes5 downloads4y agoHugging Face15fernandabufon /results_xlm-roberta_largetabularn<1K0 likes5 downloads2y agoHugging Face16GIGAParviz /ner-xlmroberta-persian-ocrtext100K<n<1M0 likes5 downloads5mo agoHugging Face17Aldroide /xlm-roberta-base-finetuned-panx-degated xlm-roberta-base-finetuned-panx-de This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set: Loss: 0.1395 F1: 0.8649 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used… See the full description on the dataset page: https://huggingface.co/datasets/Aldroide/xlm-roberta-base-finetuned-panx-de.1 likes3 downloads3y agoHugging Face18fernandabufon /results_xlm-roberta_basetabularn<1K0 likes3 downloads2y agoHugging Face19Arumugamrangsraj /xlm-roberta-base0 likes3 downloads7mo agoHugging Face20mileslilly /autotrain-data-xlm-roberta-base-finetuned-panx-de0 likes2 downloads3y agoHugging Face

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