Datasets:
Languages:
French
Size:
10K<n<100K
fix
Browse files
QR-AN.py
CHANGED
@@ -103,20 +103,30 @@ class QRANDataset(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "qran_answer"
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def _info(self):
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def _split_generators(self, dl_manager):
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train_path = dl_manager.download_and_extract(self._DOWNLOAD_URL + self._TRAIN_FILE)
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@@ -144,7 +154,7 @@ class QRANDataset(datasets.GeneratorBasedBuilder):
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label = self._LABELS_DICT[data["label_name"]]
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if self.config.name == "qran_generation":
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yield id_, {"
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if self.config.name == "qran_answer":
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text = answer
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@@ -152,4 +162,4 @@ class QRANDataset(datasets.GeneratorBasedBuilder):
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text = question
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else:
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text = question + " " + answer
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yield id_, {"text": text, "label": label
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DEFAULT_CONFIG_NAME = "qran_answer"
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def _info(self):
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if self.config.name == "qran_generation":
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"question": datasets.Value("string"),
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"answer": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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citation=_CITATION,
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)
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else:
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"text": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=_LABELS),
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}
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),
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supervised_keys=None,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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train_path = dl_manager.download_and_extract(self._DOWNLOAD_URL + self._TRAIN_FILE)
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label = self._LABELS_DICT[data["label_name"]]
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if self.config.name == "qran_generation":
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yield id_, {"question": question, "answer": answer}
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if self.config.name == "qran_answer":
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text = answer
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text = question
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else:
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text = question + " " + answer
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yield id_, {"text": text, "label": label}
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