nlprep 0.1.0

Download and pre-processing data for nlp tasks

🍳 NLPrep - natural language processing dataset tool for many task

Feature

• handle over 100 dataset
• generate statistic report about processed dataset
• support many pre-processing ways
• Provide a panel for entering your parameters at runtime
• easy to adapt your own dataset and pre-processing utility

Installation

Installing via pip

pip install nlprep

Running nlprep

Once you've installed nlprep, you can run with

pip installed version nlprep
or
local version python -m nlprep.main

and the following parameter:

$ nlprep
arguments:
  --dataset     which dataset to use     
  --outdir      processed result output directory       

optional arguments:
  -h, --help    show this help message and exit
  --util    data preprocessing utility, multiple utility are supported 
  --cachedir   dir for caching raw dataset
  --infile
  --report generate a html statistics report

Add a new dataset

1. create a folder with task and dataset name as --dataset parameter
   eg: /tag_clner
2. create a blank init.py and dataset.py
3. add DATASET_FILE_MAP inside dataset.py, value will be dataset url
   eg:

DATASET_FILE_MAP = {
    "train": "https://raw.githubusercontent.com/lancopku/Chinese-Literature-NER-RE-Dataset/master/ner/train.txt",
    "test": "https://raw.githubusercontent.com/lancopku/Chinese-Literature-NER-RE-Dataset/master/ner/test.txt",
    "validation": "https://raw.githubusercontent.com/lancopku/Chinese-Literature-NER-RE-Dataset/master/ner/validation.txt",
}

4 create function call toMiddleFormat(path) to turn raw dataset into middleformat middleformat:

{
    "input": [
        example1 input,
        example2 input,
        ...
    ],
    "target": [
        example1 target,
        example2 target,
        ...
    ]
}

Add a new utility

• sentence level: add function into utils/sentlevel.py, function name will be --util parameter
• paris level - add function into utils/parislevel.py, function name will be --util parameter