Create README.md

README.md

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+---
+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 `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`