Junyeob Kim
commited on
Commit
•
01e9258
1
Parent(s):
01d534c
modify scripts download from hub
Browse files- few_glue.py +13 -3
few_glue.py
CHANGED
@@ -300,6 +300,7 @@ class FewGlueConfig(datasets.BuilderConfig):
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self.features = features
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self.label_classes = label_classes
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self.citation = citation
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self.url = url
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@@ -311,6 +312,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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name="boolq",
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description=_BOOLQ_DESCRIPTION,
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features=["question", "passage"],
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citation=_BOOLQ_CITATION,
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url="https://github.com/google-research-datasets/boolean-questions",
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),
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@@ -319,6 +321,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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description=_CB_DESCRIPTION,
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features=["premise", "hypothesis"],
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label_classes=["entailment", "contradiction", "neutral"],
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citation=_CB_CITATION,
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url="https://github.com/mcdm/CommitmentBank",
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),
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@@ -329,6 +332,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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# Note that question will only be the X in the statement "What's
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# the X for this?".
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features=["premise", "choice1", "choice2", "question"],
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citation=_COPA_CITATION,
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url="http://people.ict.usc.edu/~gordon/copa.html",
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),
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@@ -336,6 +340,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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name="multirc",
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description=_MULTIRC_DESCRIPTION,
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features=["paragraph", "question", "answer"],
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citation=_MULTIRC_CITATION,
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url="https://cogcomp.org/multirc/",
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),
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@@ -346,6 +351,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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# will contain @placeholder as a substring, which represents the word
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# to be substituted in.
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features=["passage", "query", "entities", "answers"],
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citation=_RECORD_CITATION,
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url="https://sheng-z.github.io/ReCoRD-explorer/",
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),
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@@ -354,6 +360,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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description=_RTE_DESCRIPTION,
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features=["premise", "hypothesis"],
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label_classes=["entailment", "not_entailment"],
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citation=_RTE_CITATION,
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url="https://aclweb.org/aclwiki/Recognizing_Textual_Entailment",
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),
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@@ -363,6 +370,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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# Note that start1, start2, end1, and end2 will be integers stored as
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# datasets.Value('int32').
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features=["word", "sentence1", "sentence2", "start1", "start2", "end1", "end2"],
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citation=_WIC_CITATION,
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url="https://pilehvar.github.io/wic/",
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),
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@@ -372,6 +380,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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# Note that span1_index and span2_index will be integers stored as
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# datasets.Value('int32').
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features=["text", "span1_index", "span2_index", "span1_text", "span2_text"],
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citation=_WSC_CITATION,
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url="https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
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),
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@@ -384,6 +393,7 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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# Note that span1_index and span2_index will be integers stored as
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# datasets.Value('int32').
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features=["text", "span1_index", "span2_index", "span1_text", "span2_text"],
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citation=_WSC_CITATION,
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url="https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
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),
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@@ -433,9 +443,9 @@ class FewGlue(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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-
dl_dir =
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-
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-
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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self.features = features
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self.label_classes = label_classes
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self.citation = citation
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+
self.data_url = data_url
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self.url = url
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name="boolq",
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description=_BOOLQ_DESCRIPTION,
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features=["question", "passage"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/boolq.zip",
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citation=_BOOLQ_CITATION,
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url="https://github.com/google-research-datasets/boolean-questions",
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),
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description=_CB_DESCRIPTION,
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features=["premise", "hypothesis"],
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label_classes=["entailment", "contradiction", "neutral"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/cb.zip",
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citation=_CB_CITATION,
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url="https://github.com/mcdm/CommitmentBank",
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),
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# Note that question will only be the X in the statement "What's
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# the X for this?".
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features=["premise", "choice1", "choice2", "question"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/copa.zip",
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citation=_COPA_CITATION,
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url="http://people.ict.usc.edu/~gordon/copa.html",
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),
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name="multirc",
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description=_MULTIRC_DESCRIPTION,
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features=["paragraph", "question", "answer"],
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+
data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/multirc.zip",
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citation=_MULTIRC_CITATION,
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url="https://cogcomp.org/multirc/",
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),
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# will contain @placeholder as a substring, which represents the word
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# to be substituted in.
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features=["passage", "query", "entities", "answers"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/record.zip",
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citation=_RECORD_CITATION,
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url="https://sheng-z.github.io/ReCoRD-explorer/",
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),
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description=_RTE_DESCRIPTION,
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features=["premise", "hypothesis"],
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label_classes=["entailment", "not_entailment"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/rte.zip",
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citation=_RTE_CITATION,
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url="https://aclweb.org/aclwiki/Recognizing_Textual_Entailment",
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),
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# Note that start1, start2, end1, and end2 will be integers stored as
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# datasets.Value('int32').
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features=["word", "sentence1", "sentence2", "start1", "start2", "end1", "end2"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/wic.zip",
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citation=_WIC_CITATION,
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url="https://pilehvar.github.io/wic/",
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),
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# Note that span1_index and span2_index will be integers stored as
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# datasets.Value('int32').
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features=["text", "span1_index", "span2_index", "span1_text", "span2_text"],
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data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/wsc.zip",
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citation=_WSC_CITATION,
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url="https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
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),
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# Note that span1_index and span2_index will be integers stored as
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# datasets.Value('int32').
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features=["text", "span1_index", "span2_index", "span1_text", "span2_text"],
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+
data_url="https://huggingface.co/datasets/juny116/few_glue/resolve/main/FewGLUE_32dev/wsc.zip",
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citation=_WSC_CITATION,
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url="https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
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),
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)
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def _split_generators(self, dl_manager):
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dl_dir = dl_manager.download_and_extract(self.config.data_url) or ""
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task_name = _get_task_name_from_data_url(self.config.data_url)
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dl_dir = os.path.join(dl_dir, task_name)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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