|
|
|
import datasets |
|
import json |
|
try: |
|
import lzma as xz |
|
except ImportError: |
|
import pylzma as xz |
|
|
|
datasets.logging.set_verbosity_info() |
|
logger = datasets.logging.get_logger(__name__) |
|
|
|
_DESCRIPTION = """\ |
|
""" |
|
|
|
_HOMEPAGE = "https://skatinger.github.io/master_thesis/", |
|
|
|
_LICENSE = "" |
|
|
|
_CITATION = "" |
|
|
|
_TYPES = ["original", "paraphrased"] |
|
|
|
_SIZES = [4096, 512] |
|
|
|
_URLS = { |
|
"original_4096": "data/original_4096.jsonl.xz", |
|
"original_512": "data/original_512.jsonl.xz", |
|
"paraphrased_4096": "data/paraphrased_4096.jsonl.xz", |
|
"paraphrased_512": "data/paraphrased_512.jsonl.xz" |
|
} |
|
|
|
|
|
class WikipediaForMaskFillingConfig(datasets.BuilderConfig): |
|
"""BuilderConfig for WikipediaForMaskFilling. |
|
|
|
features: *list[string]*, list of the features that will appear in the |
|
feature dict. Should not include "label". |
|
**kwargs: keyword arguments forwarded to super |
|
""" |
|
|
|
def __init__(self, type, size=4096, **kwargs): |
|
"""BuilderConfig for WikipediaForMaskFilling. |
|
|
|
Args: |
|
**kwargs: keyword arguments forwarded to super. |
|
""" |
|
|
|
|
|
|
|
super().__init__(**kwargs) |
|
self.size = size |
|
self.type = type |
|
|
|
|
|
class WikipediaForMaskFilling(datasets.GeneratorBasedBuilder): |
|
"""WikipediaForMaskFilling dataset.""" |
|
|
|
BUILDER_CONFIGS = [ |
|
WikipediaForMaskFillingConfig( |
|
name="original_4096", |
|
version=datasets.Version("1.0.0"), |
|
description="Part of the dataset with original texts and masks, with text chunks split into size of max 4096 tokens (Longformer).", |
|
max_tokens=4096, |
|
type="original" |
|
), |
|
WikipediaForMaskFillingConfig( |
|
name="original_512", |
|
version=datasets.Version("1.0.0"), |
|
description="text chunks split into size of max 512 tokens (roberta).", |
|
max_tokens=512, |
|
type="original" |
|
), |
|
WikipediaForMaskFillingConfig( |
|
name="paraphrased_4096", |
|
version=datasets.Version("1.0.0"), |
|
description="Part of the dataset with paraphrased texts and masks, with text chunks split into size of max 4096 tokens (Longformer).", |
|
max_tokens=4096, |
|
type="paraphrased" |
|
), |
|
WikipediaForMaskFillingConfig( |
|
name="paraphrased_512", |
|
version=datasets.Version("1.0.0"), |
|
description="Paraphrased text chunks split into size of max 512 tokens (roberta).", |
|
max_tokens=512, |
|
type="paraphrased" |
|
) |
|
] |
|
|
|
def _info(self): |
|
return datasets.DatasetInfo( |
|
description=_DESCRIPTION, |
|
features=datasets.Features( |
|
{ |
|
"texts": datasets.Value("string"), |
|
"masks": datasets.Sequence(datasets.Value("string")), |
|
} |
|
), |
|
|
|
|
|
supervised_keys=None, |
|
homepage=_HOMEPAGE, |
|
citation=_CITATION, |
|
) |
|
|
|
def _split_generators(self, dl_manager): |
|
type = self.config.type |
|
size = self.config.size |
|
urls_to_download = f"data/{type}_{size}.jsonl.xz" |
|
downloaded_files = dl_manager.download_and_extract(urls_to_download) |
|
|
|
return [ |
|
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), |
|
] |
|
|
|
def _generate_examples(self, filepath): |
|
_id = 0 |
|
with open(filepath, encoding="utf-8") as f: |
|
try: |
|
with xz.open(filepath) as f: |
|
for line in f: |
|
data = json.loads(line) |
|
yield _id, { |
|
"texts": data["texts"], |
|
"masks": data["masks"] |
|
} |
|
_id += 1 |
|
except Exception: |
|
logger.exception("Error while processing file %s", filepath) |
|
|
