| import json |
| import pandas as pd |
| import datasets |
| import csv |
| from datasets.tasks import Summarization |
|
|
| logger = datasets.logging.get_logger(__name__) |
|
|
|
|
| _DESCRIPTION = """\ |
| Aihub Document summarization data |
| """ |
| _URL = "https://huggingface.co/datasets/metamong1/summarization_optimization/resolve/main/" |
| _URLS = { |
| "train_data": _URL + "train_data.csv", |
| "validation_data": _URL + "validation_data.csv", |
| } |
|
|
| class SummarizationOptimization(datasets.GeneratorBasedBuilder): |
|
|
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name="Summarization Part Data", |
| version=datasets.Version("1.0.0", ""), |
| description="Text Summarization & Generation Title for optimization", |
| ), |
| ] |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "doc_id": datasets.Value("string"), |
| "title": datasets.Value("string"), |
| "text": datasets.Value("string"), |
| "doc_type": datasets.Value("string"), |
| "file": datasets.Value("string"), |
| } |
| ), |
| |
| |
| supervised_keys=None, |
| homepage="https://huggingface.co/datasets/metamong1/summarization_optimization", |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| downloaded_files = dl_manager.download_and_extract(_URLS) |
|
|
| return [ |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train_data"]}), |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation_data"]}), |
| ] |
|
|
| def _generate_examples(self, filepath): |
| """This function returns the examples in the raw (text) form.""" |
| logger.info("generating examples from = %s", filepath) |
| with open(filepath, newline='', encoding="utf-8") as csvfile: |
| reader = csv.reader(csvfile, delimiter=",") |
| feature_name = next(reader) |
|
|
| idx = 0 |
| for row in reader: |
| features = { |
| "doc_id" : row[1], |
| "title" : row[2], |
| "text" : row[3], |
| "doc_type" : row[4], |
| "file" : row[5], |
| } |
| |
| yield idx, features |
| idx += 1 |
