change full text feature config
Browse files- super_scirep_config.py +9 -9
super_scirep_config.py
CHANGED
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@@ -33,7 +33,7 @@ class SuperSciRepConfig(datasets.BuilderConfig):
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@classmethod
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def get_features(self, feature_names: List[str], type_mapping: Dict[str, Any] = None) -> Dict[str, Any]:
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full_text_mapping = {"full_text":
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type_mapping = {**full_text_mapping, **type_mapping}
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features = {name: type_mapping[name] if name in type_mapping else datasets.Value("string") for name in
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feature_names}
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@@ -71,14 +71,14 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{"doc_id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", is_training=True, description=""),
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@@ -92,7 +92,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64"),
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"venue": datasets.Value("string"),
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"year": datasets.Value("float64"),
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@@ -110,7 +110,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{
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@@ -118,7 +118,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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-
"full_text":
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", description="", url="feeds/feeds_1"),
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@@ -130,7 +130,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{
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@@ -138,7 +138,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", description="", url="feeds/feeds_m"),
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@@ -151,7 +151,7 @@ SUPERSCIREPEVAL_CONFIGS = [
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text":
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="search", description="", url="feeds/feeds_title"),
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@classmethod
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def get_features(self, feature_names: List[str], type_mapping: Dict[str, Any] = None) -> Dict[str, Any]:
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+
full_text_mapping = {"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}]}
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type_mapping = {**full_text_mapping, **type_mapping}
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features = {name: type_mapping[name] if name in type_mapping else datasets.Value("string") for name in
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feature_names}
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{"doc_id": datasets.Value("string"),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", is_training=True, description=""),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64"),
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"venue": datasets.Value("string"),
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"year": datasets.Value("float64"),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", description="", url="feeds/feeds_1"),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64")},
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"candidates":
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[{
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="proximity", description="", url="feeds/feeds_m"),
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"title": datasets.Value("string"),
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"abstract": datasets.Value(
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"string"),
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"full_text": [{"title": datasets.Value("string"), "sentences": datasets.features.Sequence(datasets.Value("string"))}],
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"corpus_id": datasets.Value("uint64"),
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"score": datasets.Value("uint32")}]}),
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task_type="search", description="", url="feeds/feeds_title"),
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