Skip to main content

PromptCraft: A Prompt Perturbation Toolkit for Prompt Robustness Analysis

Project description

PromptCraft

A Prompt Perturbation Toolkit for Prompt Robustness Analysis

Code License License Python 3.9+

Table of Contents

Installation

pip install promptcraft

Character Editing

from promptcraft import character

sentence = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
level = 0.25  # Number of characters that will be edited

character_tool = character.CharacterPerturb(sentence=sentence, level=level)

Character Replacement

char_replace = character_tool.character_replacement()

Character Deletion

char_delete = character_tool.character_deletion()

Character Insertion

char_insert = character_tool.character_insertion()

Character Swap

char_swap = character_tool.character_swap()

Keyboard Typos

char_keyboard = character_tool.keyboard_typos()

Optical Character Recognition

char_ocr = character_tool.optical_character_recognition()

Word Manipulation

from promptcraft import word

sentence = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
level = 0.25  # Number of words that will be manipulated
word_tool = word.WordPerturb(sentence=sentence, level=level)

Synonym Replacement

word_synonym = word_tool.synonym_replacement()

Word Insertion

word_insert = word_tool.word_insertion()

Word Swap

word_swap = word_tool.word_swap()

Word Deletion

word_delete = word_tool.word_deletion()

Insert Punctuation

word_punctuation = word_tool.insert_punctuation()

Word Split

word_split = word_tool.word_split()

Sentence Paraphrasing

from promptcraft import sentence

sen = "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May."
sentence_tool = sentence.SentencePerturb(sentence=sen)

Back Translation by Hugging Face

back_trans_hf = sentence_tool.back_translation_hugging_face()

Back Translation by Google Translator

back_trans_google = sentence_tool.back_translation_google()

Paraphrasing

sen_paraphrase = sentence_tool.paraphrase()

Formal Style

sen_formal = sentence_tool.formal()

Casual Style

sen_casual = sentence_tool.casual()

Passive Style

sen_passive = sentence_tool.passive()

Active Style

sen_active = sentence_tool.active()

Structure of the code

At the root of the project, you will see:

.
├── LICENSE
├── README.md
├── promptcraft
│   ├── __init__.py
│   ├── character.py
│   ├── parrot.py
│   ├── sentence.py
│   ├── styleformer.py
│   └── word.py
└── setup.py

Acknowledgement

This work was finished during my 2023 fall semester research rotation at the Dependable Computing Laboratory, Department of Electrical and Computer Engineering, Boston University, under the supervision of Prof. Wenchao Li.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

promptcraft-0.1.9.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

promptcraft-0.1.9-py3-none-any.whl (14.9 kB view details)

Uploaded Python 3

File details

Details for the file promptcraft-0.1.9.tar.gz.

File metadata

  • Download URL: promptcraft-0.1.9.tar.gz
  • Upload date:
  • Size: 14.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for promptcraft-0.1.9.tar.gz
Algorithm Hash digest
SHA256 02de7511f9e92f7a5b5afa6433c99b079cbb68b3b59632e795109e8462c3f224
MD5 5cc7b96feb9a555dab44691abd7c2f00
BLAKE2b-256 8f3bde4df0084df9a47146bf2f51c3c643823509dfa2549c45f0e30a6a1274b8

See more details on using hashes here.

File details

Details for the file promptcraft-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: promptcraft-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for promptcraft-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 36e867dce2a4b3f402abbe1aa3979c98c475bd0d05fdd509c188928d8c1bcb91
MD5 7c32a69b4517319f2b59f159fb9c7c72
BLAKE2b-256 dbc1477052412a34686eae87dd18930a4383059811a8c8477d86f68a6d1d5f4d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page