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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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95 lines
2.4 KiB
95 lines
2.4 KiB
from collections import defaultdict
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from typing import Dict, List, Type
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from pydantic import BaseModel
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from typing_extensions import Literal
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from projects.models import (
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DOCUMENT_CLASSIFICATION,
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SEQUENCE_LABELING,
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SEQ2SEQ,
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SPEECH2TEXT,
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IMAGE_CLASSIFICATION,
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INTENT_DETECTION_AND_SLOT_FILLING,
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)
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from . import examples
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class Format:
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name = ""
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@classmethod
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def dict(cls):
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return {
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"name": cls.name,
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}
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class CSV(Format):
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name = "CSV"
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extension = "csv"
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class FastText(Format):
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name = "fastText"
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extension = "txt"
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class JSON(Format):
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name = "JSON"
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extension = "json"
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class JSONL(Format):
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name = "JSONL"
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extension = "jsonl"
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class IntentAndSlot(Format):
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name = "JSONL(intent and slot)"
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extension = "jsonl"
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class OptionDelimiter(BaseModel):
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delimiter: Literal[",", "\t", ";", "|", " "] = ","
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class OptionNone(BaseModel):
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pass
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class Options:
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options: Dict[str, List] = defaultdict(list)
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@classmethod
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def filter_by_task(cls, task_name: str):
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options = cls.options[task_name]
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return [{**format.dict(), **option.schema(), "example": example} for format, option, example in options]
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@classmethod
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def register(cls, task: str, format: Type[Format], option: Type[BaseModel], example: str):
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cls.options[task].append((format, option, example))
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# Text Classification
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Options.register(DOCUMENT_CLASSIFICATION, CSV, OptionDelimiter, examples.Category_CSV)
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Options.register(DOCUMENT_CLASSIFICATION, FastText, OptionNone, examples.Category_fastText)
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Options.register(DOCUMENT_CLASSIFICATION, JSON, OptionNone, examples.Category_JSON)
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Options.register(DOCUMENT_CLASSIFICATION, JSONL, OptionNone, examples.Category_JSONL)
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# Sequence Labeling
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Options.register(SEQUENCE_LABELING, JSONL, OptionNone, examples.Offset_JSONL)
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# Sequence to sequence
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Options.register(SEQ2SEQ, CSV, OptionDelimiter, examples.Text_CSV)
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Options.register(SEQ2SEQ, JSON, OptionNone, examples.Text_JSON)
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Options.register(SEQ2SEQ, JSONL, OptionNone, examples.Text_JSONL)
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# Intent detection and slot filling
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Options.register(INTENT_DETECTION_AND_SLOT_FILLING, IntentAndSlot, OptionNone, examples.INTENT_JSONL)
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# Image Classification
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Options.register(IMAGE_CLASSIFICATION, JSONL, OptionNone, examples.CategoryImageClassification)
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# Speech to Text
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Options.register(SPEECH2TEXT, JSONL, OptionNone, examples.Speech2Text)
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