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"""MultiLegalPile Chunks 4000"""
import json
import datasets
from huggingface_hub.file_download import hf_hub_url
try:
import lzma as xz
except ImportError:
import pylzma as xz
datasets.logging.set_verbosity_info()
logger = datasets.logging.get_logger(__name__)
_CITATION = """
"""
_DESCRIPTION = """
A chunked version of the MultiLegalPile dataset.
"""
_URL = "https://huggingface.co/datasets/joelito/MultiLegalPile_Chunks_4000"
_LANGUAGES = ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "ga", "hr",
"hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"]
_TYPES = ["caselaw", "contracts", "legislation", "other"]
_JURISDICTIONS = ["Austria", "Belgium", "Bulgaria", "Croatia", "Czechia", "Denmark", "Estonia", "Finland",
"France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg",
"Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden",
"EU", "Switzerland", "UK", "US", "Canada", "N/A"]
# IMPORTANT: Increase this once larger datasets are available (en_caselaw has 17 at the moment)
_HIGHEST_NUMBER_OF_SHARDS = 17
class MultiLegalPileChunks4000Config(datasets.BuilderConfig):
"""BuilderConfig for MultiLegalPileChunks4000."""
def __init__(self, name: str, **kwargs):
"""BuilderConfig for MultiLegalPileChunks4000.
Args:
name: combination of language and type with _
language: One of bg,cs,da,de,el,en,es,et,fi,fr,ga,hr,hu,it,lt,lv,mt,nl,pl,pt,ro,sk,sl,sv or all
type: One of caselaw,contracts,legislation,other or all
**kwargs: keyword arguments forwarded to super.
"""
super(MultiLegalPileChunks4000Config, self).__init__(**kwargs)
self.name = name
self.language = name.split("_")[0]
self.type = name.split("_")[1]
class MultiLegalPileChunks4000(datasets.GeneratorBasedBuilder):
"""
MultiLegalPileChunks4000:
A filtered dataset of multilingual legal data in the EU languages
"""
BUILDER_CONFIG_CLASS = MultiLegalPileChunks4000Config
BUILDER_CONFIGS = [MultiLegalPileChunks4000Config(f"{language}_{type}")
for type in _TYPES + ["all"]
for language in _LANGUAGES + ["all"]]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"language": datasets.Value("string"), # one of _LANGUAGES
"type": datasets.Value("string"), # one of _TYPES
"jurisdiction": datasets.Value("string"), # one of _JURISDICTIONS
"text": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_URL,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
def download_url(file_name):
url = hf_hub_url(repo_id="joelito/MultiLegalPile_Chunks_4000",
filename=f"data/{file_name}.jsonl.xz", repo_type="dataset")
return dl_manager.download(url)
languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
types = _TYPES if self.config.type == "all" else [self.config.type]
split_generators = []
for split in [datasets.Split.TRAIN, datasets.Split.VALIDATION]:
filepaths = []
for language in languages:
for type in types:
for shard in range(1, _HIGHEST_NUMBER_OF_SHARDS + 1):
try:
filepaths.append(download_url(f"{language}_{type}_{split}_{shard}"))
except:
break # we found the last shard
split_generators.append(
datasets.SplitGenerator(name=split, gen_kwargs={"filepaths": filepaths})
)
return split_generators
def _generate_examples(self, filepaths):
"""This function returns the examples in the raw (text) form by iterating on all the files."""
id_ = 0
for filepath in filepaths:
logger.info("Generating examples from = %s", filepath)
try:
with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
for line in f:
if line:
example = json.loads(line)
if example is not None and isinstance(example, dict):
yield id_, example
id_ += 1
except Exception:
logger.debug("Error while processing file %s", filepath)
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