Datasetpublic

AnonymousSub/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… See the full description on the dataset page: https://huggingface.co/datasets/AnonymousSub/recipe_RL_data_roberta-base.

sourceHugging Faceupdated 4y agoView on Hugging Face

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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)
—step_attn_masks (List of lists of Ints) - Attention masks corresponding to steps
—rewards (List of Floats) - Sequence of rewards (normalized b/w 0 and 1) assigned per step.
—actions (List of lists of Ints) - Sequence of actions (one-hot encoded, as the action space is discrete). There are 33 different actions possible (we consider the maximum number of steps per recipe = 16, so the action can vary from -16 to +16; The class label is got by adding 16 to the actual action value)
—dones (List of Bool) - Sequence of flags, conveying if the work is completed when that step is reached, or not.

Dataset Size

—Number of rows = 2255673
—Maximum number of steps per row = 16