Datasets:
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- CroCoSum.py +106 -0
- data/src_docs.json +3 -0
- data/test.jsonl +0 -0
- data/train.jsonl +3 -0
- data/val.jsonl +0 -0
.gitattributes
CHANGED
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data/src_docs.json filter=lfs diff=lfs merge=lfs -text
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data/train.jsonl filter=lfs diff=lfs merge=lfs -text
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CroCoSum.py
ADDED
@@ -0,0 +1,106 @@
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import datasets
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import json
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import jsonlines
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logger = datasets.logging.get_logger(__name__)
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_URL = "data/"
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_URLS = {
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"train": _URL + "train.jsonl",
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"dev": _URL + "val.jsonl",
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"test": _URL + "test.jsonl",
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"html": _URL + "src_docs.json"
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}
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_VERSION = "0.0.1"
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_DATASETNAME = "CroCoSum"
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class SolidotSumConfig(datasets.BuilderConfig):
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"""BuilderConfig for SolidotSum."""
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def __init__(self, **kwargs):
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"""BuilderConfig for SolidotSum.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(SolidotSumConfig, self).__init__(**kwargs)
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class SolidotSum(datasets.GeneratorBasedBuilder):
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"""SolidotSum: Summarization dataset from Solidot. """
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BUILDER_CONFIGS = [
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SolidotSumConfig(
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name="plain_text",
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version=datasets.Version(_VERSION, ""),
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description="Dataset for Chinese-English Crosslingual Code-switched Summarization",
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DATASETNAME,
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features=datasets.Features(
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{
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"post_id": datasets.Value("string"),
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"post_url": datasets.Value("string"),
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"post_title": datasets.Value("string"),
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"post_body": datasets.Value("string"),
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"links": datasets.features.Sequence(
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{
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"link_id": datasets.Value("string"),
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"link_url": datasets.Value("string"),
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"link_title": datasets.Value("string"),
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"link_body":datasets.Value("string")
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}
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),
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}
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),
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], "html_path": downloaded_files['html']}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], "html_path": downloaded_files['html']}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"], "html_path": downloaded_files['html']}),
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]
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def _generate_examples(self, filepath, html_path):
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"""This function returns the examples in the raw (text) form."""
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logger.info("generating examples from = %s", filepath)
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key = 0
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with open(html_path) as f:
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html_id_body_text_url = json.load(f)
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with jsonlines.open(filepath) as f:
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for post in f:
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post_id = post['post_id']
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post_title = post['post_title']
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post_url = post['post_url']
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post_body = post['post_text']
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link_id = post['links']
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link_urls = []
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link_title = []
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link_body = []
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for link in post["links"]:
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html_content = html_id_body_text_url[str(link)]
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link_urls.append(html_content['url'])
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link_title.append(html_content['title'])
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link_body.append(html_content['body'])
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yield key, {
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"post_id": post_id,
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"post_url": post_url,
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"post_title": post_title,
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"post_body":post_body,
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"links": {
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"link_id": link_id,
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"link_url": link_urls,
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"link_title": link_title,
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"link_body": link_body
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},
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}
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key += 1
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data/src_docs.json
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e81df2675e2ce3e76de2c93dbe46b6843941040344608bb85d017a33b3cb9319
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size 128484366
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data/test.jsonl
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data/train.jsonl
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7bddf8ae3bf86e4d988dba0431b3be0ef57105fa7da1117784094d3fbc7fde4c
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size 21657141
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data/val.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
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