EduNLP.Tokenizer

class EduNLP.Tokenizer.PureTextTokenizer(*args, **kwargs)[source]

Examples

>>> tokenizer = PureTextTokenizer()
>>> items = ["有公式$\\FormFigureID{wrong1?}$,如图$\\FigureID{088f15ea-xxx}$,\
... 若$x,y$满足约束条件公式$\\FormFigureBase64{wrong2?}$,$\\SIFSep$,则$z=x+7 y$的最大值为$\\SIFBlank$"]
>>> tokens = tokenizer(items)
>>> next(tokens)[:10]
['公式', '如图', '[FIGURE]', 'x', ',', 'y', '约束条件', '公式', '[SEP]', 'z']
>>> items = ["已知集合$A=\\left\\{x \\mid x^{2}-3 x-4<0\\right\\}, \\quad B=\\{-4,1,3,5\\}, \\quad$ 则 $A \\cap B=$"]
>>> tokens = tokenizer(items)
>>> next(tokens)  
['已知', '集合', 'A', '=', '\\left', '\\{', 'x', '\\mid', 'x', '^', '{', '2', '}', '-', '3', 'x', '-', '4', '<',
'0', '\\right', '\\}', ',', '\\quad', 'B', '=', '\\{', '-', '4', ',', '1', ',', '3', ',', '5', '\\}', ',',
'\\quad', 'A', '\\cap', 'B', '=']
>>> items = [{
... "stem": "已知集合$A=\\left\\{x \\mid x^{2}-3 x-4<0\\right\\}, \\quad B=\\{-4,1,3,5\\}, \\quad$ 则 $A \\cap B=$",
... "options": ["1", "2"]
... }]
>>> tokens = tokenizer(items, key=lambda x: x["stem"])
>>> next(tokens)  
['已知', '集合', 'A', '=', '\\left', '\\{', 'x', '\\mid', 'x', '^', '{', '2', '}', '-', '3', 'x', '-', '4', '<',
'0', '\\right', '\\}', ',', '\\quad', 'B', '=', '\\{', '-', '4', ',', '1', ',', '3', ',', '5', '\\}', ',',
'\\quad', 'A', '\\cap', 'B', '=']
class EduNLP.Tokenizer.TextTokenizer(*args, **kwargs)[source]

Examples

>>> tokenizer = TextTokenizer()
>>> items = ["有公式$\\FormFigureID{wrong1?}$,如图$\\FigureID{088f15ea-xxx}$,\
... 若$x,y$满足约束条件公式$\\FormFigureBase64{wrong2?}$,$\\SIFSep$,则$z=x+7 y$的最大值为$\\SIFBlank$"]
>>> tokens = tokenizer(items)
>>> next(tokens)[:10]
['公式', '[FORMULA]', '如图', '[FIGURE]', 'x', ',', 'y', '约束条件', '公式', '[FORMULA]']
EduNLP.Tokenizer.get_tokenizer(name, *args, **kwargs)[source]
Parameters
  • name (str) –

  • args

  • kwargs

Returns

tokenizer

Return type

Tokenizer

Examples

>>> items = ["已知集合$A=\\left\\{x \\mid x^{2}-3 x-4<0\\right\\}, \\quad B=\\{-4,1,3,5\\}, \\quad$ 则 $A \\cap B=$"]
>>> tokenizer = get_tokenizer("text")
>>> tokens = tokenizer(items)
>>> next(tokens)  
['已知', '集合', 'A', '=', '\\left', '\\{', 'x', '\\mid', 'x', '^', '{', '2', '}', '-', '3', 'x', '-', '4', '<',
'0', '\\right', '\\}', ',', '\\quad', 'B', '=', '\\{', '-', '4', ',', '1', ',', '3', ',', '5', '\\}', ',',
'\\quad', 'A', '\\cap', 'B', '=']