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Merged
merged 10 commits into from
Jun 25, 2021
Merged

Add COTE-BD & COTE-MFW Dataset #593

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193e7da
Add COTE-BD Dataset #447
jiaqianjing Jun 20, 2021
9edbdf9
Update cote.py
Jun 21, 2021
b4f3b85
Update cote.py
Jun 21, 2021
fb58f72
Merge branch 'PaddlePaddle:develop' into COTE-BD
Jun 24, 2021
5cee9df
update
jiaqianjing Jun 24, 2021
59f9e69
update
jiaqianjing Jun 24, 2021
3ab52d9
Merge branch 'PaddlePaddle:develop' into COTE-BD
Jun 24, 2021
1fc0109
Merge branch 'COTE-BD' of github.com:jiaqianjing/PaddleNLP into COTE-BD
jiaqianjing Jun 24, 2021
3dd696e
Merge branch 'PaddlePaddle:develop' into COTE-BD
Jun 24, 2021
ee1ee59
Merge branch 'PaddlePaddle:develop' into COTE-BD
Jun 25, 2021
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51 changes: 40 additions & 11 deletions paddlenlp/datasets/cote.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

class Cote(DatasetBuilder):
"""
COTE_DP dataset for Opinion Role Labeling task.
COTE_DP/COTE-BD/COTE-MFW dataset for Opinion Role Labeling task.
More information please refer to https://aistudio.baidu.com/aistudio/competition/detail/50/?isFromLuge=1.

"""
Expand All @@ -37,22 +37,52 @@ class Cote(DatasetBuilder):
'splits': {
'train': [
os.path.join('COTE-DP', 'train.tsv'),
'17d11ca91b7979f2c2023757650096e5', (0, 1), 1
'17d11ca91b7979f2c2023757650096e5'
],
'test': [
os.path.join('COTE-DP', 'test.tsv'),
'5bb9b9ccaaee6bcc1ac7a6c852b46f66', (1, ), 1
'5bb9b9ccaaee6bcc1ac7a6c852b46f66'
],
},
'labels': ["B", "I", "O"]
},
'bd': {
'url': "https://dataset-bj.cdn.bcebos.com/qianyan/COTE-BD.zip",
'md5': "8d87ff9bb6f5e5d46269d72632a1b01f",
'splits': {
'train': [
os.path.join('COTE-BD', 'train.tsv'),
'4c08ccbcc373cb3bf05c3429d435f608'
],
'test': [
os.path.join('COTE-BD', 'test.tsv'),
'aeb5c9af61488dadb12cbcc1d2180667'
],
},
'labels': ["B", "I", "O"]
},
'mfw': {
'url': "https://dataset-bj.cdn.bcebos.com/qianyan/COTE-MFW.zip",
'md5': "c85326bf2be4424d03373ea70cb32c3f",
'splits': {
'train': [
os.path.join('COTE-MFW', 'train.tsv'),
'01fc90b9098d35615df6b8d257eb46ca'
],
'test': [
os.path.join('COTE-MFW', 'test.tsv'),
'c61a475917a461089db141c59c688343'
],
},
'labels': ["B", "I", "O"]
}
}

def _get_data(self, mode, **kwargs):
"""Downloads dataset."""
builder_config = self.BUILDER_CONFIGS[self.name]
default_root = os.path.join(DATA_HOME, 'COTE-DP')
filename, data_hash, _, _ = builder_config['splits'][mode]
default_root = os.path.join(DATA_HOME, f'COTE-{self.name.upper()}')
filename, data_hash = builder_config['splits'][mode]
fullname = os.path.join(default_root, filename)
if not os.path.exists(fullname) or (data_hash and
not md5file(fullname) == data_hash):
Expand All @@ -64,21 +94,19 @@ def _get_data(self, mode, **kwargs):

def _read(self, filename, split):
"""Reads data"""
_, _, field_indices, num_discard_samples = self.BUILDER_CONFIGS[
self.name]['splits'][split]
with open(filename, 'r', encoding='utf-8') as f:
for idx, line in enumerate(f):
if idx < num_discard_samples:
if idx == 0:
# ignore first line about title
continue
line_stripped = line.strip().split('\t')
if not line_stripped:
continue
example = [line_stripped[indice] for indice in field_indices]
if split == "test":
yield {"tokens": list(example[0])}
yield {"tokens": list(line_stripped[1])}
else:
try:
entity, text = example[0], example[1]
entity, text = line_stripped[0], line_stripped[1]
start_idx = text.index(entity)
except:
# drop the dirty data
Expand All @@ -94,6 +122,7 @@ def _read(self, filename, split):
"entity": entity
}


def get_labels(self):
"""
Return labels of the COTE.
Expand Down