data_juicer.format package

Submodules

data_juicer.format.csv_formatter module

class data_juicer.format.csv_formatter.CsvFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format csv-type files.

Default suffixes is [‘.csv’]

SUFFIXES = ['.csv']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

data_juicer.format.empty_formatter module

class data_juicer.format.empty_formatter.EmptyFormatter(length, feature_keys: List[str] = [], *args, **kwargs)

Bases: BaseFormatter

The class is used to create empty data.

SUFFIXES = []

__init__(length, feature_keys: List[str] = [], *args, **kwargs)

Initialization method.

Parameters:

• length – The empty dataset length.

• feature_keys – feature key name list.

property null_value

load_dataset(*args, **kwargs)

class data_juicer.format.empty_formatter.RayEmptyFormatter(length, feature_keys: List[str] = [], *args, **kwargs)

Bases: BaseFormatter

The class is used to create empty data for ray.

SUFFIXES = []

__init__(length, feature_keys: List[str] = [], *args, **kwargs)

Initialization method.

Parameters:

• length – The empty dataset length.

• feature_keys – feature key name list.

property null_value

load_dataset(*args, **kwargs)

data_juicer.format.formatter module

class data_juicer.format.formatter.BaseFormatter

Bases: object

Base class to load dataset.

load_dataset(*args) → Dataset

class data_juicer.format.formatter.LocalFormatter(dataset_path: str, type: str, suffixes: str | List[str] | None = None, text_keys: List[str] | None = None, add_suffix=False, **kwargs)

Bases: BaseFormatter

The class is used to load a dataset from local files or local directory.

__init__(dataset_path: str, type: str, suffixes: str | List[str] | None = None, text_keys: List[str] | None = None, add_suffix=False, **kwargs)

Initialization method.

Parameters:

• dataset_path – path to a dataset file or a dataset directory

• type – a packaged dataset module type (json, csv, etc.)

• suffixes – files with specified suffixes to be processed

• text_keys – key names of field that stores sample text.

• add_suffix – whether to add the file suffix to dataset meta info

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from dataset file or dataset directory, and unify its format.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – global cfg used in consequent processes,

Returns:

formatted dataset

class data_juicer.format.formatter.RemoteFormatter(dataset_path: str, text_keys: List[str] | None = None, **kwargs)

Bases: BaseFormatter

The class is used to load a dataset from repository of huggingface hub.

__init__(dataset_path: str, text_keys: List[str] | None = None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• text_keys – key names of field that stores sample text.

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from HuggingFace, and unify its format.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – the global cfg used in consequent processes,

Returns:

formatted dataset

data_juicer.format.formatter.add_suffixes(datasets: DatasetDict, num_proc: int = 1) → Dataset

Add suffix filed to datasets.

Parameters:

• datasets – a DatasetDict object

• num_proc – number of processes to add suffixes

Returns:

datasets with suffix features.

data_juicer.format.formatter.unify_format(dataset: Dataset, text_keys: List[str] | str = 'text', num_proc: int = 1, global_cfg=None) → Dataset

Get an unified internal format, conduct the following modifications.

1. check keys of dataset

2. filter out those samples with empty or None text

Parameters:

• dataset – input dataset

• text_keys – original text key(s) of dataset.

• num_proc – number of processes for mapping

• global_cfg – the global cfg used in consequent processes, since cfg.text_key may be modified after unifying

Returns:

unified_format_dataset

data_juicer.format.json_formatter module

class data_juicer.format.json_formatter.JsonFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format json-type files.

Default suffixes is [‘.json’, ‘.jsonl’, ‘.jsonl.zst’]

SUFFIXES = ['.json', '.jsonl', '.jsonl.zst']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

data_juicer.format.load module

data_juicer.format.load.load_formatter(dataset_path, text_keys=None, suffixes=None, add_suffix=False, **kwargs) → BaseFormatter

Load the appropriate formatter for different types of data formats.

Parameters:

• dataset_path – Path to dataset file or dataset directory

• text_keys – key names of field that stores sample text. Default: None

• suffixes – the suffix of files that will be read. Default: None

• add_suffix – whether to add the file suffix to dataset meta. Default: False

Returns:

a dataset formatter.

data_juicer.format.parquet_formatter module

class data_juicer.format.parquet_formatter.ParquetFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format parquet-type files.

Default suffixes is [‘.parquet’]

SUFFIXES = ['.parquet']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

data_juicer.format.text_formatter module

data_juicer.format.text_formatter.extract_txt_from_docx(fn, tgt_path)

Extract text from a docx file and save to target path.

Parameters:

• fn – path to input pdf file

• tgt_path – path to save text file.

data_juicer.format.text_formatter.extract_txt_from_pdf(fn, tgt_path)

Extract text from a pdf file and save to target path.

Parameters:

• fn – path to input pdf file

• tgt_path – path to save text file.

class data_juicer.format.text_formatter.TextFormatter(dataset_path, suffixes=None, add_suffix=False, **kwargs)

Bases: LocalFormatter

The class is used to load and format text-type files.

e.g. [‘.txt’, ‘.pdf’, ‘.cpp’, ‘.docx’]

SUFFIXES = ['.docx', '.pdf', '.txt', '.md', '.tex', '.asm', '.bat', '.cmd', '.c', '.h', '.cs', '.cpp', '.hpp', '.c++', '.h++', '.cc', '.hh', '.C', '.H', '.cmake', '.css', '.dockerfile', '.f90', '.f', '.f03', '.f08', '.f77', '.f95', '.for', '.fpp', '.go', '.hs', '.html', '.java', '.js', '.jl', '.lua', '.markdown', '.php', '.php3', '.php4', '.php5', '.phps', '.phpt', '.pl', '.pm', '.pod', '.perl', '.ps1', '.psd1', '.psm1', '.py', '.rb', '.rs', '.sql', '.scala', '.sh', '.bash', '.command', '.zsh', '.ts', '.tsx', '.vb', 'Dockerfile', 'Makefile', '.xml', '.rst', '.m', '.smali']

__init__(dataset_path, suffixes=None, add_suffix=False, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• add_suffix – Whether to add file suffix to dataset meta info

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from local text-type files.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – the global cfg used in consequent processes,

Returns:

unified_format_dataset.

data_juicer.format.tsv_formatter module

class data_juicer.format.tsv_formatter.TsvFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format tsv-type files.

Default suffixes is [‘.tsv’]

SUFFIXES = ['.tsv']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args, e.g. delimiter = ‘,’

Module contents

class data_juicer.format.JsonFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format json-type files.

Default suffixes is [‘.json’, ‘.jsonl’, ‘.jsonl.zst’]

SUFFIXES = ['.json', '.jsonl', '.jsonl.zst']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

class data_juicer.format.LocalFormatter(dataset_path: str, type: str, suffixes: str | List[str] | None = None, text_keys: List[str] | None = None, add_suffix=False, **kwargs)

Bases: BaseFormatter

The class is used to load a dataset from local files or local directory.

__init__(dataset_path: str, type: str, suffixes: str | List[str] | None = None, text_keys: List[str] | None = None, add_suffix=False, **kwargs)

Initialization method.

Parameters:

• dataset_path – path to a dataset file or a dataset directory

• type – a packaged dataset module type (json, csv, etc.)

• suffixes – files with specified suffixes to be processed

• text_keys – key names of field that stores sample text.

• add_suffix – whether to add the file suffix to dataset meta info

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from dataset file or dataset directory, and unify its format.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – global cfg used in consequent processes,

Returns:

formatted dataset

class data_juicer.format.RemoteFormatter(dataset_path: str, text_keys: List[str] | None = None, **kwargs)

Bases: BaseFormatter

The class is used to load a dataset from repository of huggingface hub.

__init__(dataset_path: str, text_keys: List[str] | None = None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• text_keys – key names of field that stores sample text.

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from HuggingFace, and unify its format.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – the global cfg used in consequent processes,

Returns:

formatted dataset

class data_juicer.format.TextFormatter(dataset_path, suffixes=None, add_suffix=False, **kwargs)

Bases: LocalFormatter

The class is used to load and format text-type files.

e.g. [‘.txt’, ‘.pdf’, ‘.cpp’, ‘.docx’]

SUFFIXES = ['.docx', '.pdf', '.txt', '.md', '.tex', '.asm', '.bat', '.cmd', '.c', '.h', '.cs', '.cpp', '.hpp', '.c++', '.h++', '.cc', '.hh', '.C', '.H', '.cmake', '.css', '.dockerfile', '.f90', '.f', '.f03', '.f08', '.f77', '.f95', '.for', '.fpp', '.go', '.hs', '.html', '.java', '.js', '.jl', '.lua', '.markdown', '.php', '.php3', '.php4', '.php5', '.phps', '.phpt', '.pl', '.pm', '.pod', '.perl', '.ps1', '.psd1', '.psm1', '.py', '.rb', '.rs', '.sql', '.scala', '.sh', '.bash', '.command', '.zsh', '.ts', '.tsx', '.vb', 'Dockerfile', 'Makefile', '.xml', '.rst', '.m', '.smali']

__init__(dataset_path, suffixes=None, add_suffix=False, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• add_suffix – Whether to add file suffix to dataset meta info

• kwargs – extra args

load_dataset(num_proc: int = 1, global_cfg=None) → Dataset

Load a dataset from local text-type files.

Parameters:

• num_proc – number of processes when loading the dataset

• global_cfg – the global cfg used in consequent processes,

Returns:

unified_format_dataset.

class data_juicer.format.ParquetFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format parquet-type files.

Default suffixes is [‘.parquet’]

SUFFIXES = ['.parquet']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

class data_juicer.format.CsvFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format csv-type files.

Default suffixes is [‘.csv’]

SUFFIXES = ['.csv']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args

class data_juicer.format.TsvFormatter(dataset_path, suffixes=None, **kwargs)

Bases: LocalFormatter

The class is used to load and format tsv-type files.

Default suffixes is [‘.tsv’]

SUFFIXES = ['.tsv']

__init__(dataset_path, suffixes=None, **kwargs)

Initialization method.

Parameters:

• dataset_path – a dataset file or a dataset directory

• suffixes – files with specified suffixes to be processed

• kwargs – extra args, e.g. delimiter = ‘,’

class data_juicer.format.EmptyFormatter(length, feature_keys: List[str] = [], *args, **kwargs)

Bases: BaseFormatter

The class is used to create empty data.

SUFFIXES = []

__init__(length, feature_keys: List[str] = [], *args, **kwargs)

Initialization method.

Parameters:

• length – The empty dataset length.

• feature_keys – feature key name list.

property null_value

load_dataset(*args, **kwargs)

class data_juicer.format.RayEmptyFormatter(length, feature_keys: List[str] = [], *args, **kwargs)

Bases: BaseFormatter

The class is used to create empty data for ray.

SUFFIXES = []

__init__(length, feature_keys: List[str] = [], *args, **kwargs)

Initialization method.

Parameters:

• length – The empty dataset length.

• feature_keys – feature key name list.

property null_value

load_dataset(*args, **kwargs)