update
Browse files- SciGraph.py +4 -4
SciGraph.py
CHANGED
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@@ -167,8 +167,8 @@ class SciGraph(datasets.GeneratorBasedBuilder):
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data = pd.read_json(topic)
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data = data.replace(to_replace=r'^\s*$', value=np.nan, regex=True).dropna(subset=['keywords'], axis=0)
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train_data,
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-
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if split == 'train':
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for idx, row in train_data.iterrows():
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yield idx, {
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@@ -177,14 +177,14 @@ class SciGraph(datasets.GeneratorBasedBuilder):
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"keywords": row.keywords.split('#%#')
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}
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elif split == 'valid':
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for idx, row in
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yield idx, {
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"id": row._id,
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"abstract": row.abstract,
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"keywords": row.keywords.split('#%#')
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}
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elif split == 'test':
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for idx, row in
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yield idx, {
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"id": row._id,
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"abstract": row.abstract,
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data = pd.read_json(topic)
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data = data.replace(to_replace=r'^\s*$', value=np.nan, regex=True).dropna(subset=['keywords'], axis=0)
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+
train_data, valid_data = train_test_split(data, test_size=0.1, random_state=42)
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test_data = pd.read_json(topic)
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if split == 'train':
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for idx, row in train_data.iterrows():
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yield idx, {
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"keywords": row.keywords.split('#%#')
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}
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elif split == 'valid':
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+
for idx, row in valid_data.iterrows():
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yield idx, {
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"id": row._id,
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"abstract": row.abstract,
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"keywords": row.keywords.split('#%#')
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}
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elif split == 'test':
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+
for idx, row in test_data.iterrows():
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yield idx, {
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"id": row._id,
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"abstract": row.abstract,
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