Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
conversational-qa
License:
Add test set
Browse filesSince the official Codalab competition is now closed (please refer to https://sharc-data.github.io/index.html), we are releasing the test set publicly to facilitate research and continued use of this resource.
sharc.py
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@@ -45,9 +45,9 @@ _URL = "https://sharc-data.github.io/data/sharc1-official.zip"
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class Sharc(datasets.GeneratorBasedBuilder):
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"""ShARC: A Conversational Question Answering dataset focussing on question answering from texts containing rules."""
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VERSION = datasets.Version("1.0.
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="sharc", version=datasets.Version("1.0.
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]
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def _info(self):
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@@ -88,6 +88,10 @@ class Sharc(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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gen_kwargs={"data_dir": os.path.join(extracted_path, "sharc1-official"), "split": "dev"},
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),
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]
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def _generate_examples(self, data_dir, split):
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class Sharc(datasets.GeneratorBasedBuilder):
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"""ShARC: A Conversational Question Answering dataset focussing on question answering from texts containing rules."""
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VERSION = datasets.Version("1.0.1")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="sharc", version=datasets.Version("1.0.1")),
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]
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def _info(self):
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name=datasets.Split.VALIDATION,
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gen_kwargs={"data_dir": os.path.join(extracted_path, "sharc1-official"), "split": "dev"},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"data_dir": os.path.join(extracted_path, "sharc1-official"), "split": "test"},
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),
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]
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def _generate_examples(self, data_dir, split):
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