ami-summary.py

import datasets
import os

_DESCRIPTION = """\
Dataset of meeting transcriptions and summaries of AMI courpus.
"""

_CITATION = """\
@InProceedings{Zhu_2015_ICCV,
 title = {AMI for summarization task},
 author = {Filipp Abapolov},
 month = {Fubruary},
 year = {2023}
}
"""

_REPO = "https://huggingface.co/datasets/pheepa/ami-summary/resolve/main"
_URL = f"{_REPO}/data/ami-summary.tar.gz"


class AmiSummary(datasets.GeneratorBasedBuilder):
 """AmiSummary dataset."""

 BUILDER_CONFIGS = [
 datasets.BuilderConfig(
 name='ami-summary',
 version=datasets.Version("1.0.0"),
 description=_DESCRIPTION
 )
 ]

 def _info(self):
 return datasets.DatasetInfo(
 description=_DESCRIPTION,
 features=datasets.Features(
 {
 "text": datasets.Value("string"),
 "summary": datasets.Value("string")
 }
 ),
 supervised_keys=None,
 citation=_CITATION
 )

 def _split_generators(self, dl_manager):
 """Returns SplitGenerators."""
 data_dir = dl_manager.download_and_extract(_URL)

 return [
 datasets.SplitGenerator(
 name=datasets.Split.TRAIN,
 gen_kwargs={"filepath": os.path.join(data_dir, "train_ami.txt")}
 ),
 datasets.SplitGenerator(
 name=datasets.Split.TEST,
 gen_kwargs={"filepath": os.path.join(data_dir, "test_ami.txt")}
 )
 ]

 def _generate_examples(self, filepath):
 """Yields examples."""
 with open(filepath, 'r') as f:
 lines = f.read().split('\n')
 pairs = []
 for i in range(0, len(lines[:-1]), 2):
 pairs.append((lines[i], lines[i + 1]))

 for i, comment in enumerate(pairs):
 yield i, {'text': pairs[0], 'summary': pairs[1]}