metadata

annotations_creators: []
language:
  - en
language_creators: []
license: []
multilinguality:
  - monolingual
pretty_name: recipe RL roberta base
size_categories: []
source_datasets: []
tags: []
task_categories: []
task_ids: []

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