Datasets:

ArXiv:
File size: 1,416 Bytes
31bb457
c08d258
935d4eb
2a0fd88
7f26536
935d4eb
c08d258
7f26536
935d4eb
 
 
 
a5c6b35
 
 
 
 
 
 
 
 
 
 
 
 
 
935d4eb
16adfc9
a5c6b35
2a0fd88
 
7f26536
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
from typing import List

from .artifact import Artifact
from .collections import Collection
from .dataclass import OptionalField
from .loaders import Loader
from .operator import StreamingOperator
from .splitters import RandomSampler, Sampler
from .task import FormTask


class TaskCard(Artifact):
    """TaskCard delineates the phases in transforming the source dataset into a model-input, and specifies the metrics for evaluation of model-output.

    Attributes:
        loader: specifies the source address and the loading operator that can access that source and transform it into a unitxt multistream.

        preprocess_steps: list of unitxt operators to process the data source into a model-input.

        task: specifies the fields (of the already (pre)processed instance) making the inputs, the fields making the outputs, and the metrics to be used for evaluating the model output.

        templates: format strings to be applied on the input fields (specified by the task) and the output fields. The templates also carry with them the list of postprocessing steps, to be applied to the model output.

        instructions: as presented to the executor of the task.
    """

    loader: Loader
    preprocess_steps: List[StreamingOperator] = None
    task: FormTask
    templates: Collection = None
    instructions: Collection = None
    sampler: Sampler = OptionalField(default_factory=RandomSampler)