Datasets:
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import datasets
import json
import jsonlines
logger = datasets.logging.get_logger(__name__)
_URL = "data/"
_URLS = {
"train": _URL + "train.jsonl",
"dev": _URL + "val.jsonl",
"test": _URL + "test.jsonl",
"html": _URL + "src_docs.json"
}
_VERSION = "0.0.1"
_DATASETNAME = "CroCoSum"
class SolidotSumConfig(datasets.BuilderConfig):
"""BuilderConfig for SolidotSum."""
def __init__(self, **kwargs):
"""BuilderConfig for SolidotSum.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(SolidotSumConfig, self).__init__(**kwargs)
class SolidotSum(datasets.GeneratorBasedBuilder):
"""SolidotSum: Summarization dataset from Solidot. """
BUILDER_CONFIGS = [
SolidotSumConfig(
name="plain_text",
version=datasets.Version(_VERSION, ""),
description="Dataset for Chinese-English Crosslingual Code-switched Summarization",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DATASETNAME,
features=datasets.Features(
{
"post_id": datasets.Value("string"),
"post_url": datasets.Value("string"),
"post_title": datasets.Value("string"),
"post_body": datasets.Value("string"),
"links": datasets.features.Sequence(
{
"link_id": datasets.Value("string"),
"link_url": datasets.Value("string"),
"link_title": datasets.Value("string"),
"link_body":datasets.Value("string")
}
),
}
),
)
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"], "html_path": downloaded_files['html']}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], "html_path": downloaded_files['html']}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"], "html_path": downloaded_files['html']}),
]
def _generate_examples(self, filepath, html_path):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
key = 0
with open(html_path) as f:
html_id_body_text_url = json.load(f)
with jsonlines.open(filepath) as f:
for post in f:
post_id = post['post_id']
post_title = post['post_title']
post_url = post['post_url']
post_body = post['post_text']
link_id = post['links']
link_urls = []
link_title = []
link_body = []
for link in post["links"]:
html_content = html_id_body_text_url[str(link)]
link_urls.append(html_content['url'])
link_title.append(html_content['title'])
link_body.append(html_content['body'])
yield key, {
"post_id": post_id,
"post_url": post_url,
"post_title": post_title,
"post_body":post_body,
"links": {
"link_id": link_id,
"link_url": link_urls,
"link_title": link_title,
"link_body": link_body
},
}
key += 1
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