Update parquet files

MultiLegalPile_Wikipedia_Filtered.py

@@ -1,121 +0,0 @@
-"""MultiLegalPile Wikipedia Filtered"""
-
-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 filtered version of the MultiLegalPile dataset, together with wikipedia articles.
-"""
-
-_URL = "https://huggingface.co/datasets/joelito/MultiLegalPile_Wikipedia_Filtered"
-
-_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", "wikipedia"]
-
-_JURISDICTONS = ["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 11 at the moment)
-_HIGHEST_NUMBER_OF_SHARDS = 11
-
-
-class MultiLegalPileWikipediaFilteredConfig(datasets.BuilderConfig):
-    """BuilderConfig for MultiLegalPileWikipediaFiltered."""
-
-    def __init__(self, name: str, **kwargs):
-        """BuilderConfig for MultiLegalPileWikipediaFiltered.
-        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,wikipedia or all
-              **kwargs: keyword arguments forwarded to super.
-            """
-        super(MultiLegalPileWikipediaFilteredConfig, self).__init__(**kwargs)
-        self.name = name
-        self.language = name.split("_")[0]
-        self.type = name.split("_")[1]
-
-
-class MultiLegalPileWikipediaFiltered(datasets.GeneratorBasedBuilder):
-    """
-    MultiLegalPileWikipediaFiltered:
-    A filtered dataset of multilingual legal data and wikipedias in the EU languages
-    """
-    BUILDER_CONFIG_CLASS = MultiLegalPileWikipediaFilteredConfig
-
-    BUILDER_CONFIGS = [MultiLegalPileWikipediaFilteredConfig(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 _JURISDICTONS
-                    "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_Wikipedia_Filtered",
-                             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(_HIGHEST_NUMBER_OF_SHARDS):
-                        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.exception("Error while processing file %s", filepath)

README.md

@@ -1,209 +0,0 @@
----
-annotations_creators:
-- other
-language_creators:
-- found
-language:
-- bg 
-- cs 
-- da 
-- de 
-- el 
-- en
-- es 
-- et 
-- fi 
-- fr 
-- ga
-- hr 
-- hu 
-- it 
-- lt 
-- lv 
-- mt
-- nl 
-- pl 
-- pt 
-- ro 
-- sk 
-- sl 
-- sv
-license:
-- cc-by-4.0
-multilinguality:
-- multilingual
-paperswithcode_id: null
-pretty_name: "MultiLegalPile_Wikipedia_Filtered: A filtered version of the MultiLegalPile dataset, together with wikipedia articles."
-size_categories:
-- 10M<n<100M
-source_datasets:
-- original
-task_categories:
-- fill-mask
-
----
-
-# Dataset Card for MultiLegalPile_Wikipedia_Filtered: A filtered version of the MultiLegalPile dataset, together with wikipedia articles
-
-## Table of Contents
-
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-    - [Annotations](#annotations)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Social Impact of Dataset](#social-impact-of-dataset)
-    - [Discussion of Biases](#discussion-of-biases)
-    - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-information)
-    - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-- **Repository:** 
-- **Paper:** 
-- **Leaderboard:**
-- **Point of Contact:** [Joel Niklaus](mailto:joel.niklaus.2@bfh.ch)
-
-### Dataset Summary
-
-The Multi_Legal_Pile is a large-scale multilingual legal dataset suited for pretraining language models.
-It spans over 24 languages and four legal text types. 
-
-### Supported Tasks and Leaderboards
-
-The dataset supports the tasks of fill-mask.
-
-### Languages
-
-The following languages are supported: 
-bg, cs, da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv
-
-## Dataset Structure
-
-It is structured in the following format: {language}_{text_type}_{shard}.jsonl.xz
-
-text_type is one of the following:
-
-- caselaw
-- contracts
-- legislation
-- other
-- wikipedia
-
-
-Use the dataset like this:
-```python
-from datasets import load_dataset
-
-config = 'en_contracts' # {language}_{text_type}
-dataset = load_dataset('joelito/Multi_Legal_Pile', config, split='train', streaming=True)
-```
-
-'config' is a combination of language and text_type, e.g. 'en_contracts' or 'de_caselaw'.
-To load all the languages or all the text_types, use 'all' instead of the language or text_type (e.g., '
-all_legislation').
-
-### Data Instances
-
-The file format is jsonl.xz and there is a `train` and `validation` split available. 
-Since some configurations are very small or non-existent, they might not contain a train split or not be present at all.
-
-The complete dataset consists of five large subsets:
-- [Native Multi Legal Pile](https://huggingface.co/datasets/joelito/Multi_Legal_Pile)
-- [Eurlex Resources](https://huggingface.co/datasets/joelito/eurlex_resources) 
-- [MC4 Legal](https://huggingface.co/datasets/joelito/mc4_legal)
-- [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law)
-- [EU Wikipedias](https://huggingface.co/datasets/joelito/EU_Wikipedias)
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-This dataset has been created by combining the following datasets:
-Native Multi Legal Pile, Eurlex Resources, MC4 Legal, Pile of Law, EU Wikipedias.
-It has been filtered to remove short documents (less than 64 whitespace-separated tokens) and 
-documents with more than 30% punctuation or numbers (see prepare_legal_data.py for more details).
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-```
-TODO add citation
-```
-
-### Contributions
-
-Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.

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