mirror of https://github.com/doccano/doccano.git
pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
91 lines
2.3 KiB
91 lines
2.3 KiB
from collections import defaultdict
|
|
from typing import Dict, List, Type
|
|
|
|
from pydantic import BaseModel
|
|
from typing_extensions import Literal
|
|
|
|
from ...models import (DOCUMENT_CLASSIFICATION, IMAGE_CLASSIFICATION, SEQ2SEQ,
|
|
SEQUENCE_LABELING, SPEECH2TEXT)
|
|
from . import examples
|
|
|
|
|
|
class Format:
|
|
name = ''
|
|
|
|
@classmethod
|
|
def dict(cls):
|
|
return {
|
|
'name': cls.name,
|
|
}
|
|
|
|
|
|
class CSV(Format):
|
|
name = 'CSV'
|
|
extension = 'csv'
|
|
|
|
|
|
class FastText(Format):
|
|
name = 'fastText'
|
|
extension = 'txt'
|
|
|
|
|
|
class JSON(Format):
|
|
name = 'JSON'
|
|
extension = 'json'
|
|
|
|
|
|
class JSONL(Format):
|
|
name = 'JSONL'
|
|
extension = 'jsonl'
|
|
|
|
|
|
class OptionDelimiter(BaseModel):
|
|
delimiter: Literal[',', '\t', ';', '|', ' '] = ','
|
|
|
|
|
|
class OptionNone(BaseModel):
|
|
pass
|
|
|
|
|
|
class Options:
|
|
options: Dict[str, List] = defaultdict(list)
|
|
|
|
@classmethod
|
|
def filter_by_task(cls, task_name: str):
|
|
options = cls.options[task_name]
|
|
return [
|
|
{
|
|
**format.dict(),
|
|
**option.schema(),
|
|
'example': example
|
|
} for format, option, example in options
|
|
]
|
|
|
|
@classmethod
|
|
def register(cls,
|
|
task: str,
|
|
format: Type[Format],
|
|
option: Type[BaseModel],
|
|
example: str):
|
|
cls.options[task].append((format, option, example))
|
|
|
|
|
|
# Text Classification
|
|
Options.register(DOCUMENT_CLASSIFICATION, CSV, OptionDelimiter, examples.Category_CSV)
|
|
Options.register(DOCUMENT_CLASSIFICATION, FastText, OptionNone, examples.Category_fastText)
|
|
Options.register(DOCUMENT_CLASSIFICATION, JSON, OptionNone, examples.Category_JSON)
|
|
Options.register(DOCUMENT_CLASSIFICATION, JSONL, OptionNone, examples.Category_JSONL)
|
|
|
|
# Sequence Labeling
|
|
Options.register(SEQUENCE_LABELING, JSONL, OptionNone, examples.Offset_JSONL)
|
|
|
|
# Sequence to sequence
|
|
Options.register(SEQ2SEQ, CSV, OptionDelimiter, examples.Text_CSV)
|
|
Options.register(SEQ2SEQ, JSON, OptionNone, examples.Text_JSON)
|
|
Options.register(SEQ2SEQ, JSONL, OptionNone, examples.Text_JSONL)
|
|
|
|
# Image Classification
|
|
Options.register(IMAGE_CLASSIFICATION, JSONL, OptionNone, examples.CategoryImageClassification)
|
|
|
|
# Speech to Text
|
|
Options.register(SPEECH2TEXT, JSONL, OptionNone, examples.Speech2Text)
|