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roberta

eduagarcia-temp /roberta-pt-checkpoints0 likes2.3k downloads3y agoHugging Facegsgoncalves /roberta_pretrain Dataset Card for RoBERTa Pretrain Dataset Summary This is the concatenation of the datasets used to Pretrain RoBERTa. The dataset is not shuffled and contains raw text. It is packaged for convenicence. Essentially is the same as: from datasets import load_dataset, concatenate_datasets bookcorpus = load_dataset("bookcorpus", split="train") openweb = load_dataset("openwebtext", split="train") cc_news = load_dataset("cc_news", split="train") cc_news =… See the full description on the dataset page: https://huggingface.co/datasets/gsgoncalves/roberta_pretrain.textfill-mask10M<n<100M5 likes405 downloads3y agoHugging Faceelricwan /roberta-data10M<n<100M0 likes261 downloads5y agoHugging Facejoegolk /roberta-tokenized-data1M<n<10M0 likes219 downloads8mo agoHugging Faceclosji /wikitext-103-raw-v1_sents_min_len10_max_len30_princeton-nlp_sup-simcse-roberta-largetext1M<n<10M0 likes186 downloads4y agoHugging FaceAnonymousSub /recipe_RL_data_roberta-base Dataset Description Structure Consists of 5 fields Each row corresponds to a policy - sequence of actions, given an initial <START> state, and corresponding rewards at each step. Fields steps, step_attn_masks, rewards, actions, dones Field descriptions steps (List of lists of Ints) - tokenized step tokens of all the steps in the policy sequence (here we use the roberta-base tokenizer, as roberta-base would be used to encode each step of a recipe)… See the full description on the dataset page: https://huggingface.co/datasets/AnonymousSub/recipe_RL_data_roberta-base.1M<n<10M0 likes134 downloads4y agoHugging Face