|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
import os |
|
import io |
|
import datasets |
|
import DiscoEvalConstants |
|
import pickle |
|
import logging |
|
|
|
_CITATION = """\ |
|
@InProceedings{mchen-discoeval-19, |
|
title = {Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations}, |
|
author = {Mingda Chen and Zewei Chu and Kevin Gimpel}, |
|
booktitle = {Proc. of {EMNLP}}, |
|
year={2019} |
|
} |
|
""" |
|
|
|
_DESCRIPTION = """\ |
|
This dataset contains all tasks of the DiscoEval benchmark for sentence representation learning. |
|
""" |
|
|
|
_HOMEPAGE = "https://github.com/ZeweiChu/DiscoEval" |
|
|
|
|
|
class DiscoEvalSentence(datasets.GeneratorBasedBuilder): |
|
"""DiscoEval Benchmark""" |
|
VERSION = datasets.Version("1.1.0") |
|
BUILDER_CONFIGS = [ |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.SPARXIV, |
|
version=VERSION, |
|
description="Sentence positioning dataset from arXiv", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.SPROCSTORY, |
|
version=VERSION, |
|
description="Sentence positioning dataset from ROCStory", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.SPWIKI, |
|
version=VERSION, |
|
description="Sentence positioning dataset from Wikipedia", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.DCCHAT, |
|
version=VERSION, |
|
description="Discourse Coherence dataset from chat", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.DCWIKI, |
|
version=VERSION, |
|
description="Discourse Coherence dataset from Wikipedia", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.RST, |
|
version=VERSION, |
|
description="The RST Discourse Treebank dataset ", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.PDTB_E, |
|
version=VERSION, |
|
description="The Penn Discourse Treebank - Explicit dataset.", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.PDTB_I, |
|
version=VERSION, |
|
description="The Penn Discourse Treebank - Implicit dataset.", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.SSPABS, |
|
version=VERSION, |
|
description="The SSP dataset.", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.BSOARXIV, |
|
version=VERSION, |
|
description="The BSO Task with the arxiv dataset.", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.BSOWIKI, |
|
version=VERSION, |
|
description="The BSO Task with the wiki dataset.", |
|
), |
|
datasets.BuilderConfig( |
|
name=DiscoEvalConstants.BSOROCSTORY, |
|
version=VERSION, |
|
description="The BSO Task with the rocstory dataset.", |
|
), |
|
] |
|
|
|
def _info(self): |
|
if self.config.name in [DiscoEvalConstants.SPARXIV, DiscoEvalConstants.SPROCSTORY, DiscoEvalConstants.SPWIKI]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.SP_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.SP_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.BSOARXIV, DiscoEvalConstants.BSOWIKI, DiscoEvalConstants.BSOROCSTORY]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.BSO_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.BSO_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.DCCHAT, DiscoEvalConstants.DCWIKI]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.DC_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.DC_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.RST]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: [datasets.Value('string')] |
|
for i in range(DiscoEvalConstants.RST_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.RST_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.PDTB_E]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.PDTB_E_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.PDTB_E_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.PDTB_I]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.PDTB_I_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.PDTB_I_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
elif self.config.name in [DiscoEvalConstants.SSPABS]: |
|
features_dict = { |
|
DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string') |
|
for i in range(DiscoEvalConstants.SSPABS_TEXT_COLUMNS) |
|
} |
|
features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(names=DiscoEvalConstants.SSPABS_LABELS) |
|
features = datasets.Features(features_dict) |
|
|
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=features, |
|
homepage=_HOMEPAGE, |
|
citation=_CITATION, |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
if self.config.name in [DiscoEvalConstants.SPARXIV, DiscoEvalConstants.SPROCSTORY, DiscoEvalConstants.SPWIKI]: |
|
data_dir = DiscoEvalConstants.SP_DATA_DIR + "/" + DiscoEvalConstants.SP_DIRS[self.config.name] |
|
train_name = DiscoEvalConstants.SP_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.SP_VALID_NAME |
|
test_name = DiscoEvalConstants.SP_TEST_NAME |
|
|
|
elif self.config.name in [DiscoEvalConstants.BSOARXIV, DiscoEvalConstants.BSOWIKI, DiscoEvalConstants.BSOROCSTORY]: |
|
data_dir = DiscoEvalConstants.BSO_DATA_DIR + "/" + DiscoEvalConstants.BSO_DIRS[self.config.name] |
|
train_name = DiscoEvalConstants.BSO_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.BSO_VALID_NAME |
|
test_name = DiscoEvalConstants.BSO_TEST_NAME |
|
|
|
elif self.config.name in [DiscoEvalConstants.DCCHAT, DiscoEvalConstants.DCWIKI]: |
|
data_dir = DiscoEvalConstants.DC_DATA_DIR + "/" + DiscoEvalConstants.DC_DIRS[self.config.name] |
|
train_name = DiscoEvalConstants.DC_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.DC_VALID_NAME |
|
test_name = DiscoEvalConstants.DC_TEST_NAME |
|
|
|
elif self.config.name in [DiscoEvalConstants.RST]: |
|
data_dir = DiscoEvalConstants.RST_DATA_DIR |
|
train_name = DiscoEvalConstants.RST_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.RST_VALID_NAME |
|
test_name = DiscoEvalConstants.RST_TEST_NAME |
|
|
|
elif self.config.name in [DiscoEvalConstants.PDTB_E, DiscoEvalConstants.PDTB_I]: |
|
data_dir = os.path.join(DiscoEvalConstants.PDTB_DATA_DIR, DiscoEvalConstants.PDTB_DIRS[self.config.name]) |
|
train_name = DiscoEvalConstants.PDTB_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.PDTB_VALID_NAME |
|
test_name = DiscoEvalConstants.PDTB_TEST_NAME |
|
|
|
elif self.config.name in [DiscoEvalConstants.SSPABS]: |
|
data_dir = DiscoEvalConstants.SSPABS_DATA_DIR |
|
train_name = DiscoEvalConstants.SSPABS_TRAIN_NAME |
|
valid_name = DiscoEvalConstants.SSPABS_VALID_NAME |
|
test_name = DiscoEvalConstants.SSPABS_TEST_NAME |
|
|
|
urls_to_download = { |
|
"train": data_dir + "/" + train_name, |
|
"valid": data_dir + "/" + valid_name, |
|
"test": data_dir + "/" + test_name, |
|
} |
|
logger = logging.getLogger(__name__) |
|
data_dirs = dl_manager.download_and_extract(urls_to_download) |
|
logger.info(f"Data directories: {data_dirs}") |
|
downloaded_files = dl_manager.download_and_extract(data_dirs) |
|
logger.info(f"Downloading Completed") |
|
|
|
return [ |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TRAIN, |
|
gen_kwargs={ |
|
"filepath": downloaded_files['train'], |
|
"split": "train", |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.VALIDATION, |
|
gen_kwargs={ |
|
"filepath": downloaded_files['valid'], |
|
"split": "dev", |
|
}, |
|
), |
|
datasets.SplitGenerator( |
|
name=datasets.Split.TEST, |
|
gen_kwargs={ |
|
"filepath": downloaded_files['test'], |
|
"split": "test" |
|
}, |
|
), |
|
] |
|
|
|
def _generate_examples(self, filepath, split): |
|
logger = logging.getLogger(__name__) |
|
logger.info(f"Current working dir: {os.getcwd()}") |
|
logger.info("generating examples from = %s", filepath) |
|
if self.config.name == DiscoEvalConstants.RST: |
|
data = pickle.load(open(filepath, "rb")) |
|
for key, line in enumerate(data): |
|
example = {DiscoEvalConstants.TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])} |
|
example[DiscoEvalConstants.LABEL_NAME] = line[0] |
|
yield key, example |
|
|
|
else: |
|
with io.open(filepath, mode='r', encoding='utf-8') as f: |
|
for key, line in enumerate(f): |
|
line = line.strip().split("\t") |
|
example = {DiscoEvalConstants.TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])} |
|
example[DiscoEvalConstants.LABEL_NAME] = line[0] |
|
yield key, example |
|
|