Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
10M - 100M
ArXiv:
DOI:
License:
File size: 1,298 Bytes
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import json
import logging
from dataclasses import dataclass
from pathlib import Path
from typing import Self
from datasets import Dataset
from dynaword.git_utilities import (
get_current_revision,
)
logger = logging.getLogger(__name__)
def calculate_average_document_length(
dataset: Dataset, text_column: str = "text"
) -> float:
texts = sum(len(t) for t in dataset[text_column])
return texts / len(dataset)
@dataclass()
class DescriptiveStatsOverview:
number_of_samples: int
average_document_length: float
number_of_tokens: int
@classmethod
def from_disk(cls, path: Path):
with path.open("r") as f:
data = json.load(f)
if "revision" in data:
data.pop("revision")
obj = cls(**data)
return obj
def to_disk(self, path: Path):
data = self.__dict__
data["revision"] = get_current_revision()
with path.with_suffix(".json").open("w") as f:
json.dump(self.__dict__, f, indent=2)
@classmethod
def from_dataset(cls, dataset: Dataset) -> Self:
return cls(
number_of_samples=len(dataset),
average_document_length=calculate_average_document_length(dataset),
number_of_tokens=sum(dataset["token_count"]),
)
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