Download validate.py from unitxt/data: direct link, hf CLI and curl.
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1.42 kB
| from abc import ABC | |
| from dataclasses import field | |
| from typing import Any, Dict, Optional | |
| from datasets import Features, Sequence, Value | |
| from .operator import StreamInstanceOperator | |
| class Validator(ABC): | |
| pass | |
| class ValidateSchema(Validator, StreamInstanceOperator): | |
| schema: Features = None | |
| def verify(self): | |
| assert isinstance( | |
| self.schema, Features | |
| ), "Schema must be an instance of Features" | |
| assert self.schema is not None, "Schema must be specified" | |
| def verify_first_instance(self, instance): | |
| for std_field in self.standart_fields: | |
| assert ( | |
| std_field in instance | |
| ), f'Field "{std_field}" is missing in the first instance' | |
| def process( | |
| self, instance: Dict[str, Any], stream_name: Optional[str] = None | |
| ) -> Dict[str, Any]: | |
| return instance | |
| class StandardSchema(Features): | |
| def __init__(self): | |
| super().__init__( | |
| { | |
| "source": Value("string"), | |
| "target": Value("string"), | |
| "references": Sequence(Value("string")), | |
| "metrics": Sequence(Value("string")), | |
| "parser": Value("string"), | |
| # 'group': Value('string'), | |
| # 'guidance': Value('string'), | |
| } | |
| ) | |
| class ValidateStandartSchema: | |
| schema: Features = field(default_factory=StandardSchema) | |