Add dataset
Browse files- .gitattributes +1 -0
- .gitignore +2 -0
- README.md +3 -0
- bwns.py +98 -0
- dataset_infos.json +1 -0
- train.csv +3 -0
.gitattributes
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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train.csv filter=lfs diff=lfs merge=lfs -text
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.gitignore
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/.env
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.DS_Store
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README.md
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# BWNS: The Baha'i World News Service dataset.
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BWNS articles from 2000 to 2022.
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bwns.py
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import csv
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import datasets
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_DESCRIPTION = "BWNS: The Bahai World News Service dataset."
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_HOMEPAGE = "https://news.bahai.org/"
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_URLS = {
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"train": "./train.csv",
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}
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class BwnsDataset(datasets.GeneratorBasedBuilder):
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"""BWNS: The Bahai World News Service dataset."""
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BUILDER_CONFIG_CLASS=datasets.BuilderConfig
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VERSION = datasets.Version("1.1.0")
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NAME = "BWNS"
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="original", version=VERSION, description="Original"),
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datasets.BuilderConfig(name="concat", version=VERSION, description="Title and content concatenated"),
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]
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DEFAULT_CONFIG_NAME = "original"
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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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if self.config.name == "original":
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features = datasets.Features(
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{
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"id": datasets.Value("int32"),
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"date": datasets.Value("timestamp[s]"),
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"city": datasets.Value("string"),
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"region": datasets.Value("string"),
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"country": datasets.Value("string"),
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"related_articles": datasets.Sequence(datasets.Value("int32")),
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"title": datasets.Value("string"),
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"content": datasets.Value("string"),
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}
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)
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elif self.config.name == "concat":
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features = datasets.Features(
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{
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"id": datasets.Value("int32"),
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"date": datasets.Value("timestamp[s]"),
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"city": datasets.Value("string"),
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"region": datasets.Value("string"),
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"country": datasets.Value("string"),
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"related_articles": datasets.Sequence(datasets.Value("int32")),
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"title_and_content": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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data_dirs = dl_manager.download_and_extract(_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": data_dirs['train'],
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"split": "train",
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},
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),
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath, split):
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with open(filepath, encoding="utf-8") as f:
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reader = csv.DictReader(f)
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for row in reader:
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if self.config.name == 'original':
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yield row['id'], {
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"id": int(row['id']),
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"date": row['date'],
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"city": row['city'],
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"region": row['region'],
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"country": row['country'],
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"related_articles": [int(x) for x in row['related_articles'][1:-1].split(',') if x],
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"title": row['title'],
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"content": row['content'],
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}
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elif self.config.name == 'concat':
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yield row['id'], {
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"id": int(row['id']),
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"date": row['date'],
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"city": row['city'],
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"region": row['region'],
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"country": row['country'],
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"related_articles": [int(x) for x in row['related_articles'][1:-1].split(',') if x],
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"title_and_content": f"{row['title']} {row['content']}",
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}
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dataset_infos.json
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{"original": {"description": "BWNS: The Bahai World News Service dataset.", "citation": "", "homepage": "https://news.bahai.org/", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "date": {"dtype": "timestamp[s]", "id": null, "_type": "Value"}, "city": {"dtype": "string", "id": null, "_type": "Value"}, "region": {"dtype": "string", "id": null, "_type": "Value"}, "country": {"dtype": "string", "id": null, "_type": "Value"}, "related_articles": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bwns_dataset", "config_name": "original", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5642343, "num_examples": 1387, "dataset_name": "bwns_dataset"}}, "download_checksums": {"./train.csv": {"num_bytes": 5648505, "checksum": "59dc4afe0f07ec8a3815de47451ae47b38ac10ea5037166dcb8a125ca1df4f28"}}, "download_size": 5648505, "post_processing_size": null, "dataset_size": 5642343, "size_in_bytes": 11290848}, "concat": {"description": "BWNS: The Bahai World News Service dataset.", "citation": "", "homepage": "https://news.bahai.org/", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "date": {"dtype": "timestamp[s]", "id": null, "_type": "Value"}, "city": {"dtype": "string", "id": null, "_type": "Value"}, "region": {"dtype": "string", "id": null, "_type": "Value"}, "country": {"dtype": "string", "id": null, "_type": "Value"}, "related_articles": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "title_and_content": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "bwns_dataset", "config_name": "concat", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5638182, "num_examples": 1387, "dataset_name": "bwns_dataset"}}, "download_checksums": {"./train.csv": {"num_bytes": 5648505, "checksum": "59dc4afe0f07ec8a3815de47451ae47b38ac10ea5037166dcb8a125ca1df4f28"}}, "download_size": 5648505, "post_processing_size": null, "dataset_size": 5638182, "size_in_bytes": 11286687}}
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train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:59dc4afe0f07ec8a3815de47451ae47b38ac10ea5037166dcb8a125ca1df4f28
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size 5648505
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