Include dataset versions - support both "v2" and "v2_1" (default)
Browse files- qa_srl2018.py +14 -14
qa_srl2018.py
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@@ -12,7 +12,7 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import datasets
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@@ -44,26 +44,29 @@ _LICENSE = ""
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_URLs = {
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"qasrl_v2
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"
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}
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SpanFeatureType = datasets.Sequence(datasets.Value("int32"), length=2)
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#
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class QaSrl2018(datasets.GeneratorBasedBuilder):
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"""QA-SRL2018: Large-Scale Question-Answer Driven Semantic Role Labeling corpus"""
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VERSION = datasets.Version("1.0.
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="
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),
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]
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DEFAULT_CONFIG_NAME = (
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"
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)
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def _info(self):
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@@ -101,13 +104,10 @@ class QaSrl2018(datasets.GeneratorBasedBuilder):
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"""Returns SplitGenerators."""
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# iterate the tar file of the corpus
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corpus_base_path = Path(dl_manager.download_and_extract(_URLs["qasrl_v2.1"]))
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corpus_orig = corpus_base_path / "qasrl-v2_1" / "orig"
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# TODO add optional kwarg for genre (wikinews)
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" QA-SRL Bank v2 Dataset"""
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import datasets
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_URLs = {
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"qasrl_v2": "http://qasrl.org/data/qasrl-v2.tar",
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"qasrl_v2_1": "https://qasrl.org/data/qasrl-v2_1.tar"
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}
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SpanFeatureType = datasets.Sequence(datasets.Value("int32"), length=2)
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# Name of the dataset usually match the script name with CamelCase instead of snake_case
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class QaSrl2018(datasets.GeneratorBasedBuilder):
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"""QA-SRL2018: Large-Scale Question-Answer Driven Semantic Role Labeling corpus"""
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VERSION = datasets.Version("1.0.2")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="v2", version=VERSION, description="This provides WIKIPEDIA dataset for qa_srl corpus (original version from Fitzgerald et. al., 2018)"
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),
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datasets.BuilderConfig(
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name="v2_1", version=VERSION, description="This provides WIKIPEDIA dataset for qa_srl corpus (version 2.1)"
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),
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]
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DEFAULT_CONFIG_NAME = (
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"v2_1"
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)
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def _info(self):
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"""Returns SplitGenerators."""
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# iterate the tar file of the corpus
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qasrl_dataset_version = self.config_id
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corpus_base_path = Path(dl_manager.download_and_extract(_URLs[f"qasrl_{qasrl_dataset_version}"]))
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corpus_orig = corpus_base_path / f"qasrl-{qasrl_dataset_version}" / "orig"
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# TODO add optional kwarg for genre (wikinews)
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