[update]add diac2019
Browse files- data/diac2019.jsonl +2 -2
- examples/preprocess/process_diac2019.py +10 -2
- main.py +3 -3
data/diac2019.jsonl
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:53152ee55eb4f7cca67b68a4a3cfbcf2e0c8dcfe8f7729335e615521546866ba
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+
size 36898086
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examples/preprocess/process_diac2019.py
CHANGED
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@@ -46,8 +46,8 @@ def main():
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equal = group[0]
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not_equal = group[1]
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equal_questions = [question.text for question in equal]
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not_equal_questions = [question.text for question in not_equal]
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pairs = set()
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@@ -55,6 +55,8 @@ def main():
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for q2 in equal_questions:
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if q1 == q2:
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continue
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pair = (q1, q2, 1)
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pairs.add(pair)
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@@ -62,6 +64,8 @@ def main():
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for q2 in not_equal_questions:
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if q1 == q2:
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continue
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pair = (q1, q2, 0)
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pairs.add(pair)
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@@ -91,6 +95,8 @@ def main():
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question1 = row["question1"]
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question2 = row["question2"]
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json_row = {
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"sentence1": question1,
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@@ -111,6 +117,8 @@ def main():
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question1 = row["question1"]
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question2 = row["question2"]
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json_row = {
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"sentence1": question1,
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equal = group[0]
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not_equal = group[1]
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equal_questions = [question.text for question in equal if question.text is not None]
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not_equal_questions = [question.text for question in not_equal if question.text is not None]
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pairs = set()
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for q2 in equal_questions:
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if q1 == q2:
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continue
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if q1 is None or q2 is None:
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continue
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pair = (q1, q2, 1)
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pairs.add(pair)
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for q2 in not_equal_questions:
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if q1 == q2:
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continue
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if q1 is None or q2 is None:
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continue
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pair = (q1, q2, 0)
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pairs.add(pair)
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question1 = row["question1"]
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question2 = row["question2"]
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if question1 is None or question2 is None:
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continue
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json_row = {
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"sentence1": question1,
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question1 = row["question1"]
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question2 = row["question2"]
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if question1 is None or question2 is None:
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continue
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json_row = {
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"sentence1": question1,
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main.py
CHANGED
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@@ -4,10 +4,10 @@ from datasets import load_dataset
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dataset = load_dataset(
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"sentence_pair.py",
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name="
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split="validation",
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)
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for sample in dataset:
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print(sample)
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dataset = load_dataset(
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"sentence_pair.py",
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name="diac2019",
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# split="validation",
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)
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print(dataset)
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for sample in dataset:
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print(sample)
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