Update soybean_dataset.py
Browse files- soybean_dataset.py +3 -38
soybean_dataset.py
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@@ -21,10 +21,10 @@ import os
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from typing import List
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import datasets
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import logging
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import numpy as np
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from PIL import Image
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import io
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import pandas as pd
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import matplotlib.pyplot as plt
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@@ -191,39 +191,4 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
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#### origin
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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urls_to_download = self._URLS
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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]
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def _generate_examples(self, filepath):
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"""This function returns the examples in the raw (text) form."""
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logging.info("generating examples from = %s", filepath)
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with open(filepath) as f:
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squad = json.load(f)
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for article in squad["data"]:
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title = article.get("title", "").strip()
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for paragraph in article["paragraphs"]:
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context = paragraph["context"].strip()
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for qa in paragraph["qas"]:
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question = qa["question"].strip()
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id_ = qa["id"]
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answer_starts = [answer["answer_start"] for answer in qa["answers"]]
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answers = [answer["text"].strip() for answer in qa["answers"]]
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# Features currently used are "context", "question", and "answers".
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# Others are extracted here for the ease of future expansions.
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yield id_, {
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"title": title,
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"context": context,
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"question": question,
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"id": id_,
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"answers": {"answer_start": answer_starts, "text": answers,},
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}
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from typing import List
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import datasets
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import logging
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import numpy as np
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from PIL import Image
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import io
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import pandas as pd
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import matplotlib.pyplot as plt
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