--- 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 `` state, and corresponding rewards at each step. ## Fields `steps`, `step_attn_masks`, `rewards`, `actions`, `dones` ## Field descriptions - `steps` (List of lists of `Int`s) - 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 `Int`s) - Attention masks corresponding to `steps` - `rewards` (List of `Float`s) - Sequence of rewards (normalized b/w 0 and 1) assigned per step. - `actions` (List of lists of `Int`s) - 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`