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data_utils.py
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data_utils.py
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"""
This file contains the logic for loading data for all RelationClassification tasks.
"""
import csv
import json
import os
from typing import *
from openprompt.data_utils.data_processor import DataProcessor
from openprompt.data_utils.utils import InputExample
from openprompt.utils.logging import logger
CLAUSE_SEPARATOR_SET = set(list(".,:;?!~-"))
CHARACTER_SET = set(map(chr, range(97, 97 + 26))) | set(map(chr, range(65, 65 + 26)))
def post_process_arg1(arg1):
# capitalize the first character
i = 0
while i < len(arg1) and arg1[i] not in CHARACTER_SET:
i += 1
# remove separators
j = len(arg1)
while j - 1 >= 0 and arg1[j - 1] in CLAUSE_SEPARATOR_SET:
j -= 1
k = min(i + 1, j)
arg1 = arg1[:k].upper() + arg1[k:j]
return arg1
def post_process_arg2(arg2):
# lowercase the first character
i = 0
while i < len(arg2) and arg2[i] not in CHARACTER_SET:
i += 1
# remove separators
j = len(arg2)
while j - 1 >= 0 and arg2[j - 1] in CLAUSE_SEPARATOR_SET:
j -= 1
k = min(i + 1, j)
arg2 = arg2[:k].upper() + arg2[k:j]
return arg2
class PDTB2Processor(DataProcessor):
rel_map_4 = {
"Comparison": 0,
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Contrast": 0,
"Comparison.Contrast.Juxtaposition": 0,
"Comparison.Contrast.Opposition": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Pragmatic contrast": 0,
"Contingency": 1,
"Contingency.Cause": 1,
"Contingency.Cause.Reason": 1,
"Contingency.Cause.Result": 1,
"Contingency.Condition": 1,
"Contingency.Condition.Hypothetical": 1,
"Contingency.Pragmatic cause.Justification": 1,
"Contingency.Pragmatic condition.Relevance": 1,
"Expansion": 2,
"Expansion.Alternative": 2,
"Expansion.Alternative.Chosen alternative": 2,
"Expansion.Alternative.Conjunctive": 2,
"Expansion.Alternative.Disjunctive": 2,
"Expansion.Conjunction": 2,
"Expansion.Exception": 2,
"Expansion.Instantiation": 2,
"Expansion.List": 2,
"Expansion.Restatement": 2,
"Expansion.Restatement.Equivalence": 2,
"Expansion.Restatement.Generalization": 2,
"Expansion.Restatement.Specification": 2,
"Temporal": 3,
"Temporal.Asynchronous.Precedence": 3,
"Temporal.Asynchronous.Succession": 3,
"Temporal.Synchrony": 3
}
rels_4 = ["Comparison", "Contingency", "Expansion", "Temporal"]
rel_map_11 = {
# "Comparison",
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Contrast": 1,
"Comparison.Contrast.Juxtaposition": 1,
"Comparison.Contrast.Opposition": 1,
# "Comparison.Pragmatic concession",
# "Comparison.Pragmatic contrast",
# "Contingency",
"Contingency.Cause": 2,
"Contingency.Cause.Reason": 2,
"Contingency.Cause.Result": 2,
"Contingency.Pragmatic cause.Justification": 3,
# "Contingency.Condition",
# "Contingency.Condition.Hypothetical",
# "Contingency.Pragmatic condition.Relevance",
# "Expansion",
"Expansion.Alternative": 4,
"Expansion.Alternative.Chosen alternative": 4,
"Expansion.Alternative.Conjunctive": 4,
"Expansion.Conjunction": 5,
"Expansion.Instantiation": 6,
"Expansion.List": 7,
"Expansion.Restatement": 8,
"Expansion.Restatement.Equivalence": 8,
"Expansion.Restatement.Generalization": 8,
"Expansion.Restatement.Specification": 8,
# "Expansion.Alternative.Disjunctive",
# "Expansion.Exception",
# "Temporal",
"Temporal.Asynchronous": 9,
"Temporal.Asynchronous.Precedence": 9,
"Temporal.Asynchronous.Succession": 9,
"Temporal.Synchrony": 10
}
rels_11 = [
"Comparison.Concession", "Comparison.Contrast",
"Contingency.Cause", "Contingency.Pragmatic cause.Justification",
"Expansion.Alternative", "Expansion.Conjunction", "Expansion.Instantiation", "Expansion.List", "Expansion.Restatement",
"Temporal.Asynchronous", "Temporal.Synchrony"
]
def __init__(self, num_labels=4):
super().__init__()
if num_labels == 4:
self._labels = PDTB2Processor.rels_4
self._label_mapping = PDTB2Processor.rel_map_4
elif num_labels == 11:
self._labels = PDTB2Processor.rels_11
self._label_mapping = PDTB2Processor.rel_map_11
else:
raise NotImplementedError
def get_label_id(self, label) -> int:
"""get label id of the corresponding label
Args:
label: label in dataset
Returns:
int: the index of label
"""
return self.label_mapping.get(label, None)
def get_examples(self, data_dir, split):
path = os.path.join(data_dir, "{}.jsonl".format(split))
examples = []
num_labels = self.get_num_labels()
with open(path, encoding='utf8') as f:
for choicex, line in enumerate(f):
example_json = json.loads(line)
label = None
multi_label = [0] * num_labels
for k in ["Conn1Sense1", "Conn1Sense2", "Conn2Sense1", "Conn2Sense2"]:
sense = example_json[k]
lbl = self.get_label_id(sense)
if lbl is not None:
multi_label[lbl] = 1
if label is None:
label = lbl
if label is None:
continue
# if example_json["Arg1SpanList"] < example_json["Arg2SpanList"]:
if int(example_json["Arg1SpanList"].replace("..",",").split(',')[0]) < int(example_json["Arg2SpanList"].replace("..",",").split(',')[0]):
text_a = post_process_arg1(example_json["Arg1RawText"])
text_b = post_process_arg2(example_json["Arg2RawText"])
else:
text_a = post_process_arg1(example_json["Arg2RawText"])
text_b = post_process_arg2(example_json["Arg1RawText"])
meta = {
"conn1": example_json["Conn1"],
"conn2": example_json["Conn2"],
"conn1_senses": [example_json["Conn1Sense1"], example_json["Conn1Sense2"]],
"conn2_senses": [example_json["Conn2Sense1"], example_json["Conn2Sense2"]],
"multi_label": multi_label
}
while len(meta["conn1_senses"]) and meta["conn1_senses"][-1] == "":
meta["conn1_senses"].pop()
while len(meta["conn2_senses"]) and meta["conn2_senses"][-1] == "":
meta["conn2_senses"].pop()
guid = "%d_%s_wsj_%02d%02d" % (
choicex, example_json["RelationType"], example_json["Section"], example_json["FileNumber"]
)
example = InputExample(guid=guid, text_a=text_a, text_b=text_b, meta=meta, label=label) #, multi_label=multi_label
examples.append(example)
return examples
class PDTB2EXPProcessor(DataProcessor):
rel_map_4 = {
"Comparison": 0,
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Contrast": 0,
"Comparison.Contrast.Juxtaposition": 0,
"Comparison.Contrast.Opposition": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Pragmatic contrast": 0,
"Contingency": 1,
"Contingency.Cause": 1,
"Contingency.Cause.Reason": 1,
"Contingency.Cause.Result": 1,
"Contingency.Condition": 1,
"Contingency.Condition.Hypothetical": 1,
"Contingency.Pragmatic cause.Justification": 1,
"Contingency.Pragmatic condition.Relevance": 1,
"Contingency.Condition.Unreal present": 1, #later join
"Contingency.Condition.Unreal past": 1, #later join
"Contingency.Condition.General": 1, #later join
"Contingency.Condition.Factual past": 1, #later join
"Contingency.Condition.Factual present": 1, #later join
"Contingency.Pragmatic condition.Implicit assertion": 1, #later join
"Expansion": 2,
"Expansion.Alternative": 2,
"Expansion.Alternative.Chosen alternative": 2,
"Expansion.Alternative.Conjunctive": 2,
"Expansion.Alternative.Disjunctive": 2,
"Expansion.Conjunction": 2,
"Expansion.Exception": 2,
"Expansion.Instantiation": 2,
"Expansion.List": 2,
"Expansion.Restatement": 2,
"Expansion.Restatement.Equivalence": 2,
"Expansion.Restatement.Generalization": 2,
"Expansion.Restatement.Specification": 2,
"Temporal": 3,
"Temporal.Asynchronous": 3, #later join
"Temporal.Asynchronous.Precedence": 3,
"Temporal.Asynchronous.Succession": 3,
"Temporal.Synchrony": 3
}
rels_4 = ["Comparison", "Contingency", "Expansion", "Temporal"]
rel_map_11 = {
"Comparison": 1,
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
# "Comparison.Pragmatic concession",
"Comparison.Contrast": 1,
"Comparison.Contrast.Juxtaposition": 1,
"Comparison.Contrast.Opposition": 1,
# "Comparison.Pragmatic contrast",
# "Contingency",
"Contingency.Cause": 2,
"Contingency.Cause.Reason": 2,
"Contingency.Cause.Result": 2,
"Contingency.Pragmatic cause.Justification": 3,
# "Contingency.Condition": 3,
# "Contingency.Condition.Hypothetical": 3,
# "Contingency.Pragmatic condition.Relevance": 3,
# "Contingency.Condition.Unreal present": 3, #later join
# "Contingency.Condition.Unreal past": 3, #later join
# "Contingency.Condition.General": 3, #later join
# "Contingency.Condition.Factual past": 3, #later join
# "Contingency.Condition.Factual present": 3, #later join
# "Contingency.Pragmatic condition.Implicit assertion": 3, #later join
# "Expansion",
"Expansion.Alternative": 4,
"Expansion.Alternative.Chosen alternative": 4,
"Expansion.Alternative.Conjunctive": 4,
"Expansion.Alternative.Disjunctive": 4,
"Expansion.Conjunction": 5,
"Expansion.Instantiation": 6,
"Expansion.List": 7,
"Expansion.Restatement": 8,
"Expansion.Restatement.Equivalence": 8,
"Expansion.Restatement.Generalization": 8,
"Expansion.Restatement.Specification": 8,
# "Expansion.Exception",
# "Temporal",
"Temporal.Asynchronous": 9,
"Temporal.Asynchronous.Precedence": 9,
"Temporal.Asynchronous.Succession": 9,
"Temporal.Synchrony": 10
}
rels_11 = [
"Comparison.Concession", "Comparison.Contrast",
"Contingency.Cause", "Contingency.Pragmatic cause.Justification",
"Expansion.Alternative", "Expansion.Conjunction", "Expansion.Instantiation", "Expansion.List", "Expansion.Restatement",
"Temporal.Asynchronous", "Temporal.Synchrony"
]
def __init__(self, num_labels=4):
super().__init__()
if num_labels == 4:
self._labels = PDTB2EXPProcessor.rels_4
self._label_mapping = PDTB2EXPProcessor.rel_map_4
elif num_labels == 11:
self._labels = PDTB2EXPProcessor.rels_11
self._label_mapping = PDTB2EXPProcessor.rel_map_11
else:
raise NotImplementedError
def get_label_id(self, label) -> int:
"""get label id of the corresponding label
Args:
label: label in dataset
Returns:
int: the index of label
"""
return self.label_mapping.get(label, None)
def get_examples(self, data_dir, split):
path = os.path.join(data_dir, "{}.jsonl".format(split))
examples = []
num_labels = self.get_num_labels()
with open(path, encoding='utf8') as f:
for choicex, line in enumerate(f):
example_json = json.loads(line)
label = None
multi_label = [0] * num_labels
for k in ["Conn1Sense1", "Conn1Sense2", "Conn2Sense1", "Conn2Sense2"]:
sense = example_json[k]
lbl = self.get_label_id(sense)
if lbl is not None:
multi_label[lbl] = 1
if label is None:
label = lbl
if label is None:
continue
if int(example_json["Arg1SpanList"].replace("..",",").split(',')[0]) < int(example_json["Arg2SpanList"].replace("..",",").split(',')[0]):
text_a = post_process_arg1(example_json["Arg1RawText"])
text_b = post_process_arg2(example_json["Arg2RawText"])
else:
text_a = post_process_arg1(example_json["Arg2RawText"])
text_b = post_process_arg2(example_json["Arg1RawText"])
meta = {
"conn1": example_json["Conn1"],
"conn2": example_json["Conn2"],
"conn1_senses": [example_json["Conn1Sense1"], example_json["Conn1Sense2"]],
"conn2_senses": [example_json["Conn2Sense1"], example_json["Conn2Sense2"]],
"multi_label": multi_label
}
while len(meta["conn1_senses"]) and meta["conn1_senses"][-1] == "":
meta["conn1_senses"].pop()
while len(meta["conn2_senses"]) and meta["conn2_senses"][-1] == "":
meta["conn2_senses"].pop()
guid = "%d_%s_wsj_%02d%02d" % (
choicex, example_json["RelationType"], example_json["Section"], example_json["FileNumber"]
)
example = InputExample(guid=guid, text_a=text_a, text_b=text_b, meta=meta, label=label) #, multi_label=multi_label
examples.append(example)
return examples
class PDTB3Processor(DataProcessor):
rel_map_4 = {
"Comparison.Concession+SpeechAct.Arg2-as-denier+SpeechAct": 0,
"Comparison.Concession.Arg1-as-denier": 0,
"Comparison.Concession.Arg2-as-denier": 0,
"Comparison.Contrast": 0,
"Comparison.Similarity": 0,
"Contingency.Cause+Belief.Reason+Belief": 1,
"Contingency.Cause+Belief.Result+Belief": 1,
"Contingency.Cause+SpeechAct.Reason+SpeechAct": 1,
"Contingency.Cause+SpeechAct.Result+SpeechAct": 1,
"Contingency.Cause.Reason": 1,
"Contingency.Cause.Result": 1,
"Contingency.Negative-cause.NegResult": 1,
"Contingency.Condition+SpeechAct": 1,
"Contingency.Condition.Arg1-as-cond": 1,
"Contingency.Condition.Arg2-as-cond": 1,
"Contingency.Negative-condition.Arg1-as-negCond": 1,
"Contingency.Negative-condition.Arg2-as-negCond": 1,
"Contingency.Purpose.Arg1-as-goal": 1,
"Contingency.Purpose.Arg2-as-goal": 1,
"Expansion.Conjunction": 2,
"Expansion.Disjunction": 2,
"Expansion.Equivalence": 2,
"Expansion.Exception.Arg1-as-excpt": 2,
"Expansion.Exception.Arg2-as-excpt": 2,
"Expansion.Instantiation.Arg1-as-instance": 2,
"Expansion.Instantiation.Arg2-as-instance": 2,
"Expansion.Level-of-detail.Arg1-as-detail": 2,
"Expansion.Level-of-detail.Arg2-as-detail": 2,
"Expansion.Manner.Arg1-as-manner": 2,
"Expansion.Manner.Arg2-as-manner": 2,
"Expansion.Substitution.Arg1-as-subst": 2,
"Expansion.Substitution.Arg2-as-subst": 2,
"Temporal.Asynchronous.Precedence": 3,
"Temporal.Asynchronous.Succession": 3,
"Temporal.Synchronous": 3
}
rels_4 = ["Comparison", "Contingency", "Expansion", "Temporal"]
rel_map_20 = {
"Comparison.Concession+SpeechAct.Arg2-as-denier+SpeechAct": 0,
"Comparison.Concession.Arg1-as-denier": 1,
"Comparison.Concession.Arg2-as-denier": 1,
"Comparison.Contrast": 2,
"Comparison.Similarity": 3,
"Contingency.Cause+Belief.Reason+Belief": 4,
"Contingency.Cause+Belief.Result+Belief": 4,
"Contingency.Cause+SpeechAct.Reason+SpeechAct": 5,
"Contingency.Cause+SpeechAct.Result+SpeechAct": 5,
"Contingency.Cause.Reason": 6,
"Contingency.Cause.Result": 6,
"Contingency.Negative-cause.NegResult": 6,
"Contingency.Condition+SpeechAct": 7,
"Contingency.Condition.Arg1-as-cond": 8,
"Contingency.Condition.Arg2-as-cond": 8,
"Contingency.Negative-condition.Arg1-as-negCond": 8,
"Contingency.Negative-condition.Arg2-as-negCond": 8,
"Contingency.Purpose.Arg1-as-goal": 9,
"Contingency.Purpose.Arg2-as-goal": 9,
"Expansion.Conjunction": 10,
"Expansion.Disjunction": 11,
"Expansion.Equivalence": 12,
"Expansion.Exception.Arg1-as-excpt": 13,
"Expansion.Exception.Arg2-as-excpt": 13,
"Expansion.Instantiation.Arg1-as-instance": 14,
"Expansion.Instantiation.Arg2-as-instance": 14,
"Expansion.Level-of-detail.Arg1-as-detail": 15,
"Expansion.Level-of-detail.Arg2-as-detail": 15,
"Expansion.Manner.Arg1-as-manner": 16,
"Expansion.Manner.Arg2-as-manner": 16,
"Expansion.Substitution.Arg1-as-subst": 17,
"Expansion.Substitution.Arg2-as-subst": 17,
"Temporal.Asynchronous.Precedence": 18,
"Temporal.Asynchronous.Succession": 18,
"Temporal.Synchronous": 19
}
rels_20 = [
"Comparison.Concession+SpeechAct",
"Comparison.Concession",
"Comparison.Contrast",
"Comparison.Similarity",
"Contingency.Cause+Belief",
"Contingency.Cause+SpeechAct",
"Contingency.Cause",
"Contingency.Condition+SpeechAct",
"Contingency.Condition",
"Contingency.Purpose",
"Expansion.Conjunction",
"Expansion.Disjunction",
"Expansion.Equivalence",
"Expansion.Exception",
"Expansion.Instantiation",
"Expansion.Level-of-detail",
"Expansion.Manner",
"Expansion.Substitution",
"Temporal.Asynchronous",
"Temporal.Synchronous",
]
rel_map_14 = {
"Comparison.Concession.Arg1-as-denier": 0,
"Comparison.Concession.Arg2-as-denier": 0,
"Comparison.Contrast": 1,
"Contingency.Cause+Belief.Reason+Belief": 2,
"Contingency.Cause+Belief.Result+Belief": 2,
"Contingency.Cause.Reason": 3,
"Contingency.Cause.Result": 3,
"Contingency.Negative-cause.NegResult": 3,
"Contingency.Condition.Arg1-as-cond": 4,
"Contingency.Condition.Arg2-as-cond": 4,
"Contingency.Purpose.Arg1-as-goal": 5,
"Contingency.Purpose.Arg2-as-goal": 5,
"Expansion.Conjunction": 6,
"Expansion.Equivalence": 7,
"Expansion.Instantiation.Arg1-as-instance": 8,
"Expansion.Instantiation.Arg2-as-instance": 8,
"Expansion.Level-of-detail.Arg1-as-detail": 9,
"Expansion.Level-of-detail.Arg2-as-detail": 9,
"Expansion.Manner.Arg1-as-manner": 10,
"Expansion.Manner.Arg2-as-manner": 10,
"Expansion.Substitution.Arg1-as-subst": 11,
"Expansion.Substitution.Arg2-as-subst": 11,
"Temporal.Asynchronous.Precedence": 12,
"Temporal.Asynchronous.Succession": 12,
"Temporal.Synchronous": 13
}
rels_14 = [
"Comparison.Concession",
"Comparison.Contrast",
"Contingency.Cause+Belief",
"Contingency.Cause",
"Contingency.Condition",
"Contingency.Purpose",
"Expansion.Conjunction",
"Expansion.Equivalence",
"Expansion.Instantiation",
"Expansion.Level-of-detail",
"Expansion.Manner",
"Expansion.Substitution",
"Temporal.Asynchronous",
"Temporal.Synchronous",
]
def __init__(self, num_labels=4):
super().__init__()
if num_labels == 4:
self._labels = PDTB3Processor.rels_4
self._label_mapping = PDTB3Processor.rel_map_4
elif num_labels == 14:
self._labels = PDTB3Processor.rels_14
self._label_mapping = PDTB3Processor.rel_map_14
elif num_labels == 20:
self._labels = PDTB3Processor.rels_20
self._label_mapping = PDTB3Processor.rel_map_20
else:
raise NotImplementedError
def get_label_id(self, label) -> int:
"""get label id of the corresponding label
Args:
label: label in dataset
Returns:
int: the index of label
"""
return self.label_mapping.get(label, None)
def get_examples(self, data_dir, split):
path = os.path.join(data_dir, "{}.jsonl".format(split))
examples = []
num_labels = self.get_num_labels()
with open(path, encoding='utf8') as f:
for choicex, line in enumerate(f):
example_json = json.loads(line)
if example_json['RelationType'] != "Implicit":
continue
label = None
multi_label = [0] * num_labels
for k in ["Conn1Sense1", "Conn1Sense2", "Conn2Sense1", "Conn2Sense2"]:
sense = example_json[k]
lbl = self.get_label_id(sense)
if lbl is not None:
multi_label[lbl] = 1
if label is None:
label = lbl
if label is None:
continue
if int(example_json["Arg1SpanList"].replace("..",",").split(',')[0]) < int(example_json["Arg2SpanList"].replace("..",",").split(',')[0]):
text_a = post_process_arg1(example_json["Arg1RawText"])
text_b = post_process_arg2(example_json["Arg2RawText"])
else:
text_a = post_process_arg1(example_json["Arg2RawText"])
text_b = post_process_arg2(example_json["Arg1RawText"])
meta = {
"conn1": example_json["Conn1"],
"conn2": example_json["Conn2"],
"conn1_senses": [example_json["Conn1Sense1"], example_json["Conn1Sense2"]],
"conn2_senses": [example_json["Conn2Sense1"], example_json["Conn2Sense2"]],
"multi_label": multi_label
}
while len(meta["conn1_senses"]) and meta["conn1_senses"][-1] == "":
meta["conn1_senses"].pop()
while len(meta["conn2_senses"]) and meta["conn2_senses"][-1] == "":
meta["conn2_senses"].pop()
guid = "%d_%s_%s" % (choicex, example_json["RelationType"], example_json["Filename"])
example = InputExample(guid=guid, text_a=text_a, text_b=text_b, meta=meta, label=label) #, multi_label=multi_label
examples.append(example)
return examples
class CoNLL15Processor(DataProcessor):
rel_map_4 = {
"Comparison": 0,
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Contrast": 0,
"Comparison.Contrast.Juxtaposition": 0,
"Comparison.Contrast.Opposition": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Pragmatic contrast": 0,
"Contingency": 1,
"Contingency.Cause": 1,
"Contingency.Cause.Reason": 1,
"Contingency.Cause.Result": 1,
"Contingency.Condition": 1,
"Contingency.Condition.Hypothetical": 1,
"Contingency.Pragmatic cause.Justification": 1,
"Contingency.Pragmatic condition.Relevance": 1,
"Expansion": 2,
"Expansion.Alternative": 2,
"Expansion.Alternative.Chosen alternative": 2,
"Expansion.Alternative.Conjunctive": 2,
"Expansion.Alternative.Disjunctive": 2,
"Expansion.Conjunction": 2,
"Expansion.Exception": 2,
"Expansion.Instantiation": 2,
"Expansion.List": 2,
"Expansion.Restatement": 2,
"Expansion.Restatement.Equivalence": 2,
"Expansion.Restatement.Generalization": 2,
"Expansion.Restatement.Specification": 2,
"Temporal": 3,
"Temporal.Asynchronous.Precedence": 3,
"Temporal.Asynchronous.Succession": 3,
"Temporal.Synchrony": 3
}
rels_4 = ["Comparison", "Contingency", "Expansion", "Temporal"]
rel_map_14 = {
# "Comparison"
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Contrast": 1,
"Comparison.Contrast.Juxtaposition": 1,
"Comparison.Contrast.Opposition": 1,
"Comparison.Pragmatic contrast": 1,
# "Contingency"
"Contingency.Cause.Reason": 2,
"Contingency.Pragmatic cause.Justification": 2,
"Contingency.Cause.Result": 3,
"Contingency.Condition": 4,
"Contingency.Condition.Hypothetical": 4,
"Contingency.Pragmatic condition.Relevance": 4,
# "Contingency.Cause",
# "Expansion"
"Expansion.Alternative": 5,
"Expansion.Alternative.Conjunctive": 5,
"Expansion.Alternative.Disjunctive": 5,
"Expansion.Alternative.Chosen alternative": 6,
"Expansion.Conjunction": 7,
"Expansion.List": 7,
"Expansion.Exception": 8,
"Expansion.Instantiation": 9,
"Expansion.Restatement": 10,
"Expansion.Restatement.Equivalence": 10,
"Expansion.Restatement.Generalization": 10,
"Expansion.Restatement.Specification": 10,
# "Temporal",
"Temporal.Asynchronous.Precedence": 11,
"Temporal.Asynchronous.Succession": 12,
"Temporal.Synchrony": 13
}
rels_14 = [
"Comparison.Concession", "Comparison.Contrast", "Contingency.Cause.Reason", "Contingency.Cause.Result",
"Contingency.Condition", "Expansion.Alternative", "Expansion.Alternative.Chosen alternative",
"Expansion.Conjunction", "Expansion.Exception", "Expansion.Instantiation", "Expansion.Restatement",
"Temporal.Asynchronous.Precedence", "Temporal.Asynchronous.Succession", "Temporal.Synchrony"
]
def __init__(self, num_labels=4):
super().__init__()
if num_labels == 4:
self._labels = CoNLL15Processor.rels_4
self._label_mapping = CoNLL15Processor.rel_map_4
elif num_labels == 14:
self._labels = CoNLL15Processor.rels_14
self._label_mapping = CoNLL15Processor.rel_map_14
else:
raise NotImplementedError
def get_label_id(self, label) -> int:
"""get label id of the corresponding label
Args:
label: label in dataset
Returns:
int: the index of label
"""
return self.label_mapping.get(label, None)
def get_examples(self, data_dir, split):
path = os.path.join(data_dir, "{}.jsonl".format(split))
examples = []
num_labels = self.get_num_labels()
with open(path, encoding='utf8') as f:
for choicex, line in enumerate(f):
example_json = json.loads(line)
# filter all the relation type not belongs to be Implicit (i.e. {'Explicit': 556, 'EntRel': 200, 'Implicit': 425, 'AltLex': 28})
if example_json['Type'] != "Implicit":
continue
label = None
multi_label = [0] * num_labels
for sense in example_json["Sense"]:
lbl = self.get_label_id(sense)
if lbl is not None:
multi_label[lbl] = 1
if label is None:
label = lbl
if label is None:
continue
if example_json["Arg1"]["CharacterSpanList"][0][0] < example_json["Arg2"]["CharacterSpanList"][0][0]:
text_a = post_process_arg1(example_json["Arg1"]["RawText"])
text_b = post_process_arg2(example_json["Arg2"]["RawText"])
else:
text_a = post_process_arg1(example_json["Arg2"]["RawText"])
text_b = post_process_arg2(example_json["Arg1"]["RawText"])
meta = {
# "arg1": example_json["Arg1"]["RawText"],
# "arg2": example_json["Arg2"]["RawText"],
"conn1": example_json["Connective"]["RawText"],
"conn2": "",
"conn1_senses": example_json["Sense"],
"conn2_senses": [],
"multi_label": multi_label
}
while len(meta["conn1_senses"]) and meta["conn1_senses"][-1] == "":
meta["conn1_senses"].pop()
guid = "%d_%s_%s" % (choicex, example_json["Type"], example_json["DocID"])
example = InputExample(guid=guid, text_a=text_a, text_b=text_b, meta=meta, label=label)#, multi_label=multi_label)
examples.append(example)
return examples
class CoNLL15Processor_ent(DataProcessor):
rel_map_5 = {
"Comparison": 0,
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Contrast": 0,
"Comparison.Contrast.Juxtaposition": 0,
"Comparison.Contrast.Opposition": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Pragmatic contrast": 0,
"Contingency": 1,
"Contingency.Cause": 1,
"Contingency.Cause.Reason": 1,
"Contingency.Cause.Result": 1,
"Contingency.Condition": 1,
"Contingency.Condition.Hypothetical": 1,
"Contingency.Pragmatic cause.Justification": 1,
"Contingency.Pragmatic condition.Relevance": 1,
"Expansion": 2,
"Expansion.Alternative": 2,
"Expansion.Alternative.Chosen alternative": 2,
"Expansion.Alternative.Conjunctive": 2,
"Expansion.Alternative.Disjunctive": 2,
"Expansion.Conjunction": 2,
"Expansion.Exception": 2,
"Expansion.Instantiation": 2,
"Expansion.List": 2,
"Expansion.Restatement": 2,
"Expansion.Restatement.Equivalence": 2,
"Expansion.Restatement.Generalization": 2,
"Expansion.Restatement.Specification": 2,
"Temporal": 3,
"Temporal.Asynchronous.Precedence": 3,
"Temporal.Asynchronous.Succession": 3,
"Temporal.Synchrony": 3,
"EntRel":4
}
rels_5 = ["Comparison", "Contingency", "Expansion", "Temporal", "EntRel"]
rel_map_15 = {
# "Comparison"
"Comparison.Concession": 0,
"Comparison.Concession.Contra-expectation": 0,
"Comparison.Concession.Expectation": 0,
"Comparison.Pragmatic concession": 0,
"Comparison.Contrast": 1,
"Comparison.Contrast.Juxtaposition": 1,
"Comparison.Contrast.Opposition": 1,
"Comparison.Pragmatic contrast": 1,
# "Contingency"
"Contingency.Cause.Reason": 2,
"Contingency.Pragmatic cause.Justification": 2,
"Contingency.Cause.Result": 3,
"Contingency.Condition": 4,
"Contingency.Condition.Hypothetical": 4,
"Contingency.Pragmatic condition.Relevance": 4,
# "Contingency.Cause",
# "Expansion"
"Expansion.Alternative": 5,
"Expansion.Alternative.Conjunctive": 5,
"Expansion.Alternative.Disjunctive": 5,
"Expansion.Alternative.Chosen alternative": 6,
"Expansion.Conjunction": 7,
"Expansion.List": 7,
"Expansion.Exception": 8,
"Expansion.Instantiation": 9,
"Expansion.Restatement": 10,
"Expansion.Restatement.Equivalence": 10,
"Expansion.Restatement.Generalization": 10,
"Expansion.Restatement.Specification": 10,
# "Temporal",
"Temporal.Asynchronous.Precedence": 11,
"Temporal.Asynchronous.Succession": 12,
"Temporal.Synchrony": 13,
"EntRel": 14
}
rels_15 = [
"Comparison.Concession", "Comparison.Contrast", "Contingency.Cause.Reason", "Contingency.Cause.Result",
"Contingency.Condition", "Expansion.Alternative", "Expansion.Alternative.Chosen alternative",
"Expansion.Conjunction", "Expansion.Exception", "Expansion.Instantiation", "Expansion.Restatement",
"Temporal.Asynchronous.Precedence", "Temporal.Asynchronous.Succession", "Temporal.Synchrony",
"EntRel"
]
def __init__(self, num_labels=5):
super().__init__()
if num_labels == 5:
self._labels = CoNLL15Processor_ent.rels_5
self._label_mapping = CoNLL15Processor_ent.rel_map_5
elif num_labels == 15:
self._labels = CoNLL15Processor_ent.rels_15
self._label_mapping = CoNLL15Processor_ent.rel_map_15
else:
raise NotImplementedError
def get_label_id(self, label) -> int:
"""get label id of the corresponding label
Args:
label: label in dataset
Returns:
int: the index of label
"""
return self.label_mapping.get(label, None)
def get_examples(self, data_dir, split):
path = os.path.join(data_dir, "{}.jsonl".format(split))
examples = []
num_labels = self.get_num_labels()
with open(path, encoding='utf8') as f:
for choicex, line in enumerate(f):
example_json = json.loads(line)
# filter all the relation type not belongs to be Implicit (i.e. {'Explicit': 556, 'EntRel': 200, 'Implicit': 425, 'AltLex': 28})
if example_json['Type'] == "Implicit" or example_json['Type'] == "EntRel":
label = None
multi_label = [0] * num_labels
for sense in example_json["Sense"]:
lbl = self.get_label_id(sense)
if lbl is not None:
multi_label[lbl] = 1
if label is None:
label = lbl
if label is None:
continue
if example_json["Arg1"]["CharacterSpanList"][0][0] < example_json["Arg2"]["CharacterSpanList"][0][0]:
text_a = post_process_arg1(example_json["Arg1"]["RawText"])
text_b = post_process_arg2(example_json["Arg2"]["RawText"])
else:
text_a = post_process_arg1(example_json["Arg2"]["RawText"])
text_b = post_process_arg2(example_json["Arg1"]["RawText"])
meta = {
# "arg1": example_json["Arg1"]["RawText"],
# "arg2": example_json["Arg2"]["RawText"],
"conn1": example_json["Connective"]["RawText"],
"conn2": "",
"conn1_senses": example_json["Sense"],
"conn2_senses": [],
"multi_label": multi_label
}
while len(meta["conn1_senses"]) and meta["conn1_senses"][-1] == "":
meta["conn1_senses"].pop()
guid = "%d_%s_%s" % (choicex, example_json["Type"], example_json["DocID"])
example = InputExample(guid=guid, text_a=text_a, text_b=text_b, meta=meta, label=label)#, multi_label=multi_label)
examples.append(example)
return examples
PROCESSORS = {"pdtb2": PDTB2Processor, "pdtb2_exp":PDTB2EXPProcessor, "pdtb3": PDTB3Processor, "conll15": CoNLL15Processor, "conll15-ent":CoNLL15Processor_ent}