Create samsum.py
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samsum.py
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import json
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import datasets
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class SkillDataset(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("0.1.0")
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def _info(self):
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return datasets.DatasetInfo(
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description="A dataset of skills and their descriptions",
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features=datasets.Features(
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{
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"input": datasets.Value("string"),
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"target": datasets.Value("string"),
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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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mappings = json.load(open("mappings.json", "r"))
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training_data = mappings[:int(0.95 * len(mappings))]
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testing_data = mappings[int(0.95 * len(mappings)) :]
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data": training_data
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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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gen_kwargs={
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"data": testing_data
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}
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),
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]
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def _generate_examples(self, data):
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for i, mapping in enumerate(data):
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yield i, {
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"input": mapping["input"],
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"target": mapping["target"],
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}
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