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ronaldahmed commited on
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c609620
1 Parent(s): 48253a6

data loadedr and zip files

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Files changed (5) hide show
  1. .gitattributes +3 -0
  2. animal.zip +3 -0
  3. company.zip +3 -0
  4. film.zip +3 -0
  5. wiki_cat_sum.py +166 -0
.gitattributes CHANGED
@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ company.zip filter=lfs diff=lfs merge=lfs -text
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+ film.zip filter=lfs diff=lfs merge=lfs -text
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+ animal.zip filter=lfs diff=lfs merge=lfs -text
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+ size 855640260
wiki_cat_sum.py ADDED
@@ -0,0 +1,166 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """TODO: Add a description here."""
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+
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+
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+ import csv
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+ import json
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+ import os
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+
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+ import datasets
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+
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+
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+ # TODO: Add BibTeX citation
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+ # Find for instance the citation on arxiv or on the dataset repo/website
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+ _CITATION = """\
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+ @inproceedings{perez2019generating,
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+ title={Generating Summaries with Topic Templates and Structured Convolutional Decoders},
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+ author={Perez-Beltrachini, Laura and Liu, Yang and Lapata, Mirella},
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+ booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
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+ pages={5107--5116},
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+ year={2019}
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+ }
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+ """
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+
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+ # TODO: Add description of the dataset here
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+ # You can copy an official description
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+ _DESCRIPTION = """\
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+ This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
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+ """
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+
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+ # TODO: Add a link to an official homepage for the dataset here
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+ _HOMEPAGE = "https://datashare.ed.ac.uk/handle/10283/3368"
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+
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+ # TODO: Add the licence for the dataset here if you can find it
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+ _LICENSE = ""
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+
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+ # TODO: Add link to the official dataset URLs here
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+ # The HuggingFace dataset library don't host the datasets but only point to the original files
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+ # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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+ _URLs = {
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+ # 'animals': "https://datashare.ed.ac.uk/bitstream/handle/10283/3368/animal_tok_min5_L7.5k.zip",
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+ "animals": "https://huggingface.co/datasets/GEM/wiki_cat_sum/animal.zip"
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+ 'company': "https://huggingface.co/datasets/GEM/wiki_cat_sum/company.zip",
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+ 'film' : "https://huggingface.co/datasets/GEM/wiki_cat_sum/film.zip",
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+ }
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+
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+
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+ # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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+ class WikiCatSum(datasets.GeneratorBasedBuilder):
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+ """TODO: Short description of my dataset."""
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+
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+ VERSION = datasets.Version("0.1.0")
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+
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+ # This is an example of a dataset with multiple configurations.
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+ # If you don't want/need to define several sub-sets in your dataset,
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+ # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
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+
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+ # If you need to make complex sub-parts in the datasets with configurable options
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+ # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
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+ # BUILDER_CONFIG_CLASS = MyBuilderConfig
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+
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+ # You will be able to load one or the other configurations in the following list with
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+ # data = datasets.load_dataset('my_dataset', 'first_domain')
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+ # data = datasets.load_dataset('my_dataset', 'second_domain')
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(name="animal" , version=VERSION, description="Animal domain"),
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+ datasets.BuilderConfig(name="company", version=VERSION, description="Company domain"),
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+ datasets.BuilderConfig(name="film" , version=VERSION, description="Film domain"),
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+ ]
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+
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+ DEFAULT_CONFIG_NAME = "animal" # It's not mandatory to have a default configuration. Just use one if it make sense.
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+
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+ def _info(self):
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+ # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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+ features = datasets.Features(
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+ {
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+ "id": datasets.Value("string"),
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+ "title": datasets.Value("string"),
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+ "paragraphs": datasets.features.Sequence(
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+ datasets.Value("string")),
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+ "summary": datasets.features.Sequence(
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+ {
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+ "text": datasets.Value("string"),
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+ "topic": datasets.Value("int"),
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+ })
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+ # These are the features of your dataset like images, labels ...
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+ }
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+ )
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+ return datasets.DatasetInfo(
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+ # This is the description that will appear on the datasets page.
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+ description=_DESCRIPTION,
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+ # This defines the different columns of the dataset and their types
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+ features=features, # Here we define them above because they are different between the two configurations
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+ # If there's a common (input, target) tuple from the features,
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+ # specify them here. They'll be used if as_supervised=True in
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+ # builder.as_dataset.
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+ supervised_keys=None,
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+ # Homepage of the dataset for documentation
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+ homepage=_HOMEPAGE,
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+ # License for the dataset if available
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+ license=_LICENSE,
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+ # Citation for the dataset
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+ # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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+ # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
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+
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+ # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
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+ # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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+ # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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+ my_urls = _URLs[self.config.name]
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+ data_dir = dl_manager.download_and_extract(my_urls)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join(data_dir, "train-%s.jsonl" % (self.config.name)),
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+ "split": "train",
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join(data_dir, "test-%s.jsonl" % (self.config.name)),
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+ "split": "test"
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join(data_dir, "valid-%s.jsonl" % (self.config.name)),
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+ "split": "dev",
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(
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+ self, filepath, split # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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+ ):
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+ """ Yields examples as (key, example) tuples. """
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+ # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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+ # The `key` is here for legacy reason (tfds) and is not important in itself.
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+
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+ with open(filepath, encoding="utf-8") as f:
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+ for row in f:
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+ data = json.loads(row)
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+ data["gem_id"] = "GEM-wiki_cat_sum-%s-%d" % (split,data["id"]+1)
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+ yield data["id"],data