Download processors.py from unitxt/data: direct link, hf CLI and curl.
- Browser
- Download file 5.92 kB
-
https://huggingface.co/datasets/unitxt/data/resolve/2aa918a61ba35a1eb6644cfa3b68f0763548af48/processors.py
- Command line
-
hf download hf://datasets/unitxt/data@2aa918a61ba35a1eb6644cfa3b68f0763548af48/processors.py
-
curl -L -o processors.py https://huggingface.co/datasets/unitxt/data/resolve/2aa918a61ba35a1eb6644cfa3b68f0763548af48/processors.py
5.92 kB
| import json | |
| import re | |
| from difflib import get_close_matches | |
| from typing import Any, Dict | |
| from .operators import FieldOperator, InstanceFieldOperator | |
| class ToString(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| return str(text) | |
| class ToStringStripped(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| return str(text).strip() | |
| class SplitStrip(FieldOperator): | |
| delimiter: str = " " | |
| strip_every_element: bool = False | |
| def process_value(self, text: Any) -> Any: | |
| return [ | |
| x.strip() if self.strip_every_element else x | |
| for x in text.split(self.delimiter) | |
| ] | |
| class ToListByComma(SplitStrip): | |
| delimiter = "," | |
| strip_every_element = True | |
| class RegexParser(FieldOperator): | |
| """A processor that uses regex in order to parse a string.""" | |
| regex: str | |
| termination_regex: str = None | |
| def process_value(self, text: Any) -> Any: | |
| if self.termination_regex is not None and re.fullmatch( | |
| self.termination_regex, text | |
| ): | |
| return [] | |
| return re.findall(self.regex, text) | |
| class LoadJson(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| try: | |
| return json.loads(text) | |
| except json.JSONDecodeError: | |
| return [] | |
| class ListToEmptyEntitiesTuples(FieldOperator): | |
| def process_value(self, lst: Any) -> Any: | |
| try: | |
| return [(str(item), "") for item in lst] | |
| except json.JSONDecodeError: | |
| return [] | |
| class DictOfListsToPairs(FieldOperator): | |
| position_key_before_value: bool = True | |
| def process_value(self, obj: Any) -> Any: | |
| try: | |
| result = [] | |
| for key, values in obj.items(): | |
| for value in values: | |
| assert isinstance(value, str) | |
| pair = ( | |
| (key, value) if self.position_key_before_value else (value, key) | |
| ) | |
| result.append(pair) | |
| return result | |
| except: | |
| return [] | |
| class TakeFirstNonEmptyLine(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| parts = str(text).strip().split("\n") | |
| if len(parts) == 0: | |
| return "" | |
| return parts[0].strip() | |
| class ConvertToBoolean(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| clean_instance = str(text).strip().lower() | |
| if any(w in clean_instance for w in ["no", "not", "wrong", "false"]): | |
| return "FALSE" | |
| if any(w in clean_instance for w in ["yes", "right", "correct", "true"]): | |
| return "TRUE" | |
| return "OTHER" | |
| class LowerCaseTillPunc(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| non_empty_line = text.lower() | |
| match = re.search(r"[.,!?;]", non_empty_line) | |
| if match: | |
| # Extract text up to the first punctuation | |
| non_empty_line = non_empty_line[: match.start()] | |
| return non_empty_line | |
| class LowerCase(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| return text.lower() | |
| class Capitalize(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| return text.capitalize() | |
| class GetStringAfter(FieldOperator): | |
| substring: str | |
| def process_value(self, text: Any) -> Any: | |
| return text.split(self.substring, 1)[-1].strip() | |
| class MatchClosestOption(InstanceFieldOperator): | |
| options_field: str = "options" | |
| def process_instance_value(self, value: Any, instance: Dict[str, Any]): | |
| options = instance["task_data"][self.options_field] | |
| return get_close_matches(value, options, n=1, cutoff=0.0)[0] | |
| def process_instance_value(self, value, instance): | |
| options = instance[self.options_field] | |
| # Get the closest match; n=1 returns the single closest match | |
| closest_match = get_close_matches(value, options, n=1, cutoff=0) | |
| return closest_match[0] if closest_match else None | |
| class Substring(FieldOperator): | |
| begin: int = 0 | |
| end: int = None | |
| def process_value(self, text: Any) -> Any: | |
| if self.end is None: | |
| return text[self.begin :] | |
| return text[self.begin : self.end] | |
| class FirstCharacter(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| match = re.search(r"\s*(\w)", text) | |
| if match: | |
| return match.groups(0)[0] | |
| return "" | |
| class TakeFirstWord(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| match = re.search(r"([-]*[0-9]+(\.([0-9]+))*)|([\w]+)", text) | |
| if match: | |
| return text[match.start() : match.end()] | |
| return "" | |
| class YesNoToInt(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| if text == "yes": | |
| return "1" | |
| if text == "no": | |
| return "0" | |
| return text | |
| class YesToOneElseZero(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| if text == "yes": | |
| return "1" | |
| return "0" | |
| class StrToFloatFormat(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| try: | |
| return str(float(text)) | |
| except Exception: | |
| return str(text) | |
| class ToYesOrNone(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| if text == "yes": | |
| return "yes" | |
| return "none" | |
| class StanceToProCon(FieldOperator): | |
| def process_value(self, text: Any) -> Any: | |
| if text == "positive": | |
| return "PRO" | |
| if text in ["negative", "suggestion"]: | |
| return "CON" | |
| return "none" | |
| class StringOrNotString(FieldOperator): | |
| string: str | |
| def process_value(self, text: Any) -> Any: | |
| if "not " + self.string.lower() in text.lower(): | |
| return "not " + self.string.lower() | |
| if self.string.lower() in text.lower(): | |
| return self.string.lower() | |
| return text | |