Source code for caikit.interfaces.nlp.data_model.text

# Copyright The Caikit Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Data structures for text representations"""

# Standard
from typing import List, Optional

# First Party
from py_to_proto.dataclass_to_proto import Annotated, FieldNumber
import alog

# Local
from ....core import DataObjectBase, dataobject
from .package import NLP_PACKAGE

log = alog.use_channel("DATAM")


[docs] @dataobject(package=NLP_PACKAGE) class Token(DataObjectBase): """Tokens here are the basic units of text. Tokens can be characters, words, sub-words, or other segments of text or code, depending on the method of tokenization chosen or the task being implemented. """ start: Annotated[int, FieldNumber(1)] # Beginning offset of the token end: Annotated[int, FieldNumber(2)] # Ending offset of the token text: Annotated[str, FieldNumber(3)] # Text referenced by this token
[docs] @dataobject(package=NLP_PACKAGE) class TokenizationResults(DataObjectBase): """Tokenization result generated from a text.""" results: Annotated[Optional[List[Token]], FieldNumber(1)] # The number of tokens # Note: Field number 4 chosen due to Fields 2 and 3 used below token_count: Annotated[Optional[int], FieldNumber(4)]
[docs] @dataobject(package=NLP_PACKAGE) class TokenizationStreamResult(TokenizationResults): """ Streaming tokenization result that indicates up to where in stream is processed. """ processed_index: Annotated[ int, FieldNumber(2) ] # Result index up to which text is processed start_index: Annotated[int, FieldNumber(3)] # Result start index for processed text
[docs] @dataobject(package=NLP_PACKAGE) class ChunkerTokenizationStreamResult(TokenizationStreamResult): """ Streaming tokenization result that provides pointer to the input chunk processed """ # Below 2 represent pointer from the input stream. # These are different from start and processed_index index returned from # TokenizationStreamResult, which refers to the char span # Field numbers 20 and 21 used in case parent classes have added fields input_start_index: Annotated[int, FieldNumber(20)] input_end_index: Annotated[int, FieldNumber(21)]