Search is not available for this dataset
steps
sequence | step_attn_masks
sequence | rewards
sequence | actions
sequence | dones
sequence |
---|---|---|---|---|
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End of preview. Expand
in Dataset Viewer.
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 ofInt
s) - tokenized step tokens of all the steps in the policy sequence (here we use theroberta-base
tokenizer, asroberta-base
would be used to encode each step of a recipe)step_attn_masks
(List of lists ofInt
s) - Attention masks corresponding tosteps
rewards
(List ofFloat
s) - Sequence of rewards (normalized b/w 0 and 1) assigned per step.actions
(List of lists ofInt
s) - Sequence of actions (one-hot encoded, as the action space is discrete). There are33
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 ofBool
) - 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
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