text and sum in one file

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/ami-summary.tar.gz filter=lfs diff=lfs merge=lfs -text

ami-summary.py

@@ -0,0 +1,69 @@
+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), 2):
+ pairs.append((lines[i], lines[i + 1]))
+
+ for i, comment in enumerate(pairs):
+ yield i, {'text': pairs[0], 'summary': pairs[1]}