added first version of the Multi_Legal_Pile

.gitattributes

@@ -49,3 +49,26 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/da/legislation/denmark_ddsc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/fr/caselaw/belgium_jurportal.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/fr/caselaw/france_cass.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/fr/legislation/belgium_ejustice.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/fr/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/hu/caselaw/hungary_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/bg/legislation/bulgaria_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/cs/caselaw/czechia_supreme_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/nl/legislation/belgium_ejustice.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/ro/legislation/romania_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/de/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/fr/caselaw/luxembourg_judoc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/de/legislation/germany_openlegaldata.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/en/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/it/legislation/switzerland_lexfind.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/pl/legislation/poland_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/sk/legislation/slovakia_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/da/caselaw/denmark_ddsc.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/de/caselaw/germany_openlegaldata.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/pt/caselaw/brazil_rulingbr.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/sl/legislation/slovenia_marcell.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/cs/caselaw/czechia_constitutional_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text
+data/cs/caselaw/czechia_supreme_administrative_court.jsonl.xz filter=lfs diff=lfs merge=lfs -text

Multi_Legal_Pile.py

@@ -0,0 +1,396 @@
+"""Multi Legal Pile"""
+
+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__)
+
+_DESCRIPTION = """
+"""
+
+_CITATION = """
+"""
+
+_URL = "https://huggingface.co/datasets/joelito/Multi_Legal_Pile"
+
+# Specific Data
+_DATA_NAME = {
+    "bg": {
+        "legislation": ["bulgaria_marcell"],
+    },
+    "cs": {
+        "caselaw": ["czechia_constitutional_court", "czechia_supreme_administrative_court", "czechia_supreme_court"],
+    },
+    "da": {
+        "caselaw": ["denmark_ddsc"],
+        "legislation": ["denmark_ddsc"],
+    },
+    "de": {
+        "caselaw": ["germany_openlegaldata"],
+        "legislation": ["germany_openlegaldata", "switzerland_lexfind"],
+    },
+    "en": {
+        "legislation": ["switzerland_lexfind"],
+    },
+    "fr": {
+        "caselaw": ["belgium_jurportal", "france_cass", "luxembourg_judoc"],
+        "legislation": ["belgium_ejustice", "switzerland_lexfind"],
+    },
+    "hu": {
+        "caselaw": ["hungary_marcell"],
+    },
+    "it": {
+        "legislation": ["switzerland_lexfind"],
+    },
+    "nl": {
+        "legislation": ["belgium_ejustice"],
+    },
+    "pl": {
+        "legislation": ["poland_marcell"],
+    },
+    "pt": {
+        "caselaw": ["barzil_ruling_br"],
+    },
+    "ro": {
+        "legislation": ["romania_marcell"],
+    },
+    "sk": {
+        "legislation": ["slovakia_marcell"],
+    },
+    "sl": {
+        "legislation": ["slovenia_marcell"],
+    },
+}
+
+_PILE_OF_LAW_NAMES = {
+    "caselaw": {
+        "courtlistener_docket_entry_documents": {
+            "train": [
+                "train.courtlistenerdocketentries.0",
+                "train.courtlistenerdocketentries.1",
+                "train.courtlistenerdocketentries.2",
+                "train.courtlistenerdocketentries.3"
+            ],
+            "validation": [
+                "validation.courtlistenerdocketentries.0",
+                "validation.courtlistenerdocketentries.1"
+            ]
+        },
+        "courtlistener_opinions": {
+            "train": [
+                "train.courtlisteneropinions.0",
+                "train.courtlisteneropinions.1",
+                "train.courtlisteneropinions.2",
+                "train.courtlisteneropinions.3",
+                "train.courtlisteneropinions.4",
+                "train.courtlisteneropinions.5",
+                "train.courtlisteneropinions.6",
+                "train.courtlisteneropinions.7",
+                "train.courtlisteneropinions.8",
+                "train.courtlisteneropinions.9",
+            ],
+            "validation": [
+                "validation.courtlisteneropinions.0",
+                "validation.courtlisteneropinions.1",
+                "validation.courtlisteneropinions.2",
+                "validation.courtlisteneropinions.3"
+            ]
+        },
+        "ftc_advisory_opinions": {
+            "train": ["train.ftc_advisory_opinions"],
+            "validation": ["validation.ftc_advisory_opinions"]
+        },
+        "eoir": {
+            "train": ["train.eoir"],
+            "validation": ["validation.eoir"]
+        },
+        "bva_opinions": {
+            "train": ["train.bva"],
+            "validation": ["validation.bva"]
+        },
+        "tax_rulings": {
+            "train": ["train.taxrulings"],
+            "validation": ["validation.taxrulings"]
+        },
+        "scotus_filings": {
+            "train": ["train.scotus_docket_entries"],
+            "validation": ["validation.scotus_docket_entries"]
+        },
+        "nlrb_decisions": {
+            "train": ["train.nlrb_decisions"],
+            "validation": ["validation.nlrb_decisions"]
+        },
+        "dol_ecab": {
+            "train": ["train.dol_ecab"],
+            "validation": ["validation.dol_ecab"]
+        },
+        "echr": {
+            "train": ["train.echr"],
+            "validation": ["validation.echr"]
+        },
+        "canadian_decisions": {
+            "train": ["train.canadian_decisions"],
+            "validation": ["validation.canadian_decisions"]
+        },
+    },
+    "contracts": {
+        "atticus_contracts": {
+            "train": [
+                "train.atticus_contracts.0",
+                "train.atticus_contracts.1",
+                "train.atticus_contracts.2",
+                "train.atticus_contracts.3",
+                "train.atticus_contracts.4"
+            ],
+            "validation": [
+                "validation.atticus_contracts.0",
+                "validation.atticus_contracts.1"
+            ]
+        },
+        "edgar": {
+            "train": ["train.edgar"],
+            "validation": ["validation.edgar"]
+        },
+        "cfpb_creditcard_contracts": {
+            "train": ["train.cfpb_cc"],
+            "validation": ["validation.cfpb_cc"]
+        },
+        "tos": {
+            "train": ["train.tos"],
+            "validation": ["validation.tos"]
+        },
+    },
+    "legislation": {
+        "state_codes": {
+            "train": ["train.state_code"],
+            "validation": ["validation.state_code"]
+        },
+        "federal_register": {
+            "train": ["train.federal_register"],
+            "validation": ["validation.federal_register"]
+        },
+        "us_bills": {
+            "train": ["train.us_bills"],
+            "validation": ["validation.us_bills"]
+        },
+        "uscode": {
+            "train": ["train.uscode"],
+            "validation": ["validation.uscode"]
+        },
+        "founding_docs": {
+            "train": ["train.founding_docs"],
+            "validation": ["validation.founding_docs"]
+        },
+        "constitutions": {
+            "train": ["train.constitutions"],
+            "validation": ["validation.constitutions"]
+        },
+        "cfr": {
+            "train": ["train.cfr"],
+            "validation": ["validation.cfr"]
+        },
+        "fre": {
+            "train": ["train.fre"],
+            "validation": ["validation.fre"]
+        },
+        "frcp": {
+            "train": ["train.frcp"],
+            "validation": ["validation.frcp"]
+        },
+    },
+    "analyses": {
+        "oig": {
+            "train": ["train.oig"],
+            "validation": ["validation.oig"]
+        },
+        "olc_memos": {
+            "train": ["train.olcmemos"],
+            "validation": ["validation.olcmemos"]
+        },
+    },
+    "conversations": {
+        "r_legaladvice": {
+            "train": ["train.r_legaldvice"],
+            "validation": ["validation.r_legaldvice"]
+        },
+        "euro_parl": {
+            "train": ["train.euro_parl"],
+            "validation": ["validation.euro_parl"]
+        },
+        "un_debates": {
+            "train": ["train.undebates"],
+            "validation": ["validation.undebates"]
+        },
+        "congressional_hearings": {
+            "train": ["train.congressional_hearings"],
+            "validation": ["validation.congressional_hearings"]
+        },
+        "scotus_oral_arguments": {
+            "train": ["train.scotus_oral"],
+            "validation": ["validation.scotus_oral"]
+        },
+    },
+    "study_materials": {
+        "bar_exam_outlines": {
+            "train": [
+                "train.stanfordbarexamoutlines",
+                "train.shajnfeldbarexamoutlines",
+            ],
+            "validation": [
+                "validation.stanfordbarexamoutlines",
+                "validation.shajnfeldbarexamoutlines",
+            ]
+        },
+        "cc_casebooks": {
+            "train": ["train.cc_casebooks"],
+            "validation": ["validation.cc_casebooks"]
+        },
+    },
+}
+
+_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"]
+
+# the pile-of-law additionally contains "conversations", "analyses", "study_materials"
+# TODO maybe include those additional types as well: https://arxiv.org/pdf/2207.00220.pdf appendix E
+_TYPES = ["caselaw", "contracts", "legislation", "other"]
+
+_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"]
+
+
+class MultiLegalPileConfig(datasets.BuilderConfig):
+    """BuilderConfig for MultiLegalPile."""
+
+    def __init__(self, name: str, **kwargs):
+        """BuilderConfig for MultiLegalPile.
+        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(MultiLegalPileConfig, self).__init__(**kwargs)
+        self.name = name
+        self.language = name.split("_")[0]
+        self.type = name.split("_")[1]
+
+
+class MultiLegalPile(datasets.GeneratorBasedBuilder):
+    """MultiLegalPile: A Corpus Covering Large-Scale Multilingual Legal Data"""
+
+    BUILDER_CONFIGS = [MultiLegalPileConfig(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(dataset, file_name):
+            url = hf_hub_url(repo_id=dataset, filename=f"data/{file_name}.jsonl.xz", repo_type="dataset")
+            return dl_manager.download(url)
+
+        data_infos = []
+        languages = _LANGUAGES if self.config.language == "all" else [self.config.language]
+        types = _TYPES if self.config.type == "all" else [self.config.type]
+
+        for language in languages:
+            for type in types:
+                info = {"language": language, "type": type}
+                # add native MultiLegalPile data
+                if language in _DATA_NAME and type in _DATA_NAME[language]:  # if we actually have something there
+                    for data_name in _DATA_NAME[language][type]:
+                        info["filepath"] = download_url("Multi_Legal_Pile", data_name)
+                        data_infos.append(info.copy())
+
+                # add eurlex_resources data
+                info["jurisdiction"] = "EU"
+                if type == 'caselaw':
+                    info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/caselaw")
+                    data_infos.append(info.copy())
+                elif type == 'legislation':
+                    for resource_type in ["decision", "directive", "regulation", "recommendation", "proposal"]:
+                        info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/{resource_type}")
+                        data_infos.append(info.copy())
+                elif type == 'contracts':
+                    # international agreements
+                    info["filepath"] = download_url("joelito/eurlex_resources", f"{language}/intagr")
+                    data_infos.append(info.copy())
+
+                # add mc4_legal data
+                if type == 'other':
+                    info["jurisdiction"] = "N/A"
+                    if language in ["de", "en", "es"]:  # here we need to chunk because the files are too large
+                        for idx in [0, 1]:
+                            info["filepath"] = download_url("joelito/mc4_legal", f"{language}_{idx}")
+                            data_infos.append(info.copy())
+                    elif language in ["hr"]:
+                        pass  # nothing there for Croatian
+                    else:
+                        info["filepath"] = download_url("joelito/mc4_legal", f"{language}")
+                        data_infos.append(info.copy())
+
+                # add pile-of-law data
+                if language == 'en':
+                    info["jurisdiction"] = "US"
+                    for name, train_val_files in _PILE_OF_LAW_NAMES[type].items():
+                        if name == 'canadian_decisions':
+                            info["jurisdiction"] = "Canada"
+                        elif name in ['echr', 'euro_parl']:
+                            info["jurisdiction"] = "EU"
+                        elif name in ['un_debates', 'constitutions',
+                                      # these are maybe also mostly from the US
+                                      'r_legaladvice', 'cc_casebooks', 'bar_exam_outlines']:
+                            info["jurisdiction"] = "N/A"
+                        for split in ["train", "val"]:
+                            for file_name in train_val_files[split]:
+                                info["filepath"] = download_url("pile-of-law/pile-of-law", file_name)
+                                data_infos.append(info.copy())
+
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data_infos": data_infos})]
+
+    def _generate_examples(self, data_infos):
+        """This function returns the examples in the raw (text) form by iterating on all the files."""
+        id_ = 0
+        for data_info in data_infos:
+            logger.info("Generating examples from = %s", data_info["filepath"])
+            try:
+                with xz.open(open(data_info["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_, {
+                                    # uses the default values for language, type and jurisdiction if it is not set
+                                    "language": example.get("language", data_info["language"]),
+                                    "type": example.get("type", data_info["type"]),
+                                    "jurisdiction": example.get("jurisdiction", data_info["jurisdiction"]),
+                                    "text": example.get("text", ""),
+                                }
+                                id_ += 1
+            except:
+                print("Error reading file:", data_info["filepath"])

README.md

@@ -0,0 +1,194 @@
+---
+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: A Large-Scale Multilingual Corpus for the Legal Domain"
+size_categories:
+- 10M<n<100M
+source_datasets:
+- original
+task_categories:
+- fill-mask
+
+---
+
+# Dataset Card for MultiLegalPile: A Large-Scale Multilingual Corpus for the Legal Domain
+
+## 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
+
+
+### 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:
+text_type -> language -> jurisdiction.jsonl.xz
+
+text_type is one of the following:
+- analyses
+- caselaw
+- contracts
+- conversations
+- legislation
+- other
+
+### Data Instances
+
+The file format is jsonl.xz and there is one split available ("train"). 
+
+
+# TODO fill this in 
+
+|   Source | Type         | Size |  Words | Documents | Words/Document | URL                                                |                                         License |
+|---------:|--------------|-----:|-------:|----------:|---------------:|----------------------------------------------------|------------------------------------------------:|
+|  MARCELL | Legislation  |  xxx |    xxx |       xxx |            xxx | [NCC](https://huggingface.co/datasets/NbAiLab/NCC) | [NLOD 2.0](https://data.norge.no/nlod/en/2.0/)  |
+|     CASS |              |  xxx |    xxx |       xxx |            xxx |                                                    |                                                 |
+
+
+
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### 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.

data/bg/legislation/bulgaria_marcell.jsonl.xz

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data/da/caselaw/denmark_ddsc.jsonl.xz

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data/da/legislation/denmark_ddsc.jsonl.xz

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