Initial commit

README.md

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 ---
-license: cc-by-nc-sa-4.0
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1M<n<10M
+source_datasets:
+- extended
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+- masked-language-modeling
+pretty_name: LexFiles
+configs:
+- eu_legislation
+- eu_court_cases
+- uk_legislation
+- uk_court_cases
+- us_legislation
+- us_court_cases
+- us_contracts
+- canadian_legislation
+- canadian_court_cases
+- indian_court_cases
 ---
+
+
+# Dataset Card for "LexFiles"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Dataset Specifications](#supported-tasks-and-leaderboards)
+
+## Dataset Description
+
+- **Homepage:** https://github.com/coastalcph/lexlms
+- **Repository:** https://github.com/coastalcph/lexlms
+- **Paper:** https://arxiv.org/abs/xxx
+- **Point of Contact:** [Ilias Chalkidis](mailto:[email protected])
+
+### Dataset Summary
+
+The LeXFiles is a new diverse English multinational legal corpus that we created including 11 distinct sub-corpora that cover legislation and case law from 6 primarily English-speaking legal systems (EU, CoE, Canada, US, UK, India).
+The corpus contains approx. 19 billion tokens. In comparison, the "Pile of Law" corpus released by Hendersons et al. (2022) comprises 32 billion in total, where the majority (26/30) of sub-corpora come from the United States of America (USA), hence the corpus as a whole is biased towards the US legal system in general, and the federal or state jurisdiction in particular, to a significant extent.
+
+
+### Dataset Specifications
+
+| Corpus                            | Corpus alias         | Documents | Tokens | Pct.   | Sampl. (a=0.5) | Sampl. (a=0.2) |
+|-----------------------------------|----------------------|-----------|--------|--------|----------------|----------------|
+|  EU Legislation               | `eu-legislation`     | 93.7K     | 233.7M | 1.2%   | 5.0%           | 8.0%           |
+| EU Court Decisions           | `eu-court-cases`     | 29.8K     | 178.5M | 0.9%   | 4.3%           | 7.6%           |
+| ECtHR Decisions              | `ecthr-cases`        | 12.5K     | 78.5M  | 0.4%   | 2.9%           | 6.5%           |
+| UK Legislation               | `uk-legislation`     | 52.5K     | 143.6M | 0.7%   | 3.9%           | 7.3%           |
+| UK Court Decisions           | `uk-court-cases`     | 47K       | 368.4M | 1.9%   | 6.2%           | 8.8%           |
+| Indian Court Decisions    | `indian-court-cases` | 34.8K     | 111.6M | 0.6%   | 3.4%           | 6.9%           |
+| Canadian Legislation     | `canadian-legislation` | 6K        | 33.5M  | 0.2%   | 1.9%           | 5.5%           |
+| Canadian Court Decisions | `canadian-court-cases` | 11.3K     | 33.1M  | 0.2%   | 1.8%           | 5.4%           |
+| U.S. Court Decisions [1]     | `court-listener`     | 4.6M      | 11.4B  | 59.2%  | 34.7%          | 17.5%          |
+| U.S. Legislation             | `us-legislation`     | 518       | 1.4B   | 7.4%   | 12.3%          | 11.5%          |
+| U.S. Contracts               | `us-contracts`       | 622K      | 5.3B   | 27.3%  | 23.6%          | 15.0%          |
+| Total                             | `lexlms/lexfiles`    | 5.8M      | 18.8B  | 100%   | 100%           | 100%           |
+
+[1] We consider only U.S. Court Decisions from 1965 onwards (cf. post Civil Rights Act), as a hard threshold for cases relying on severely out-dated and in many cases harmful law standards. The rest of the corpora include more recent documents.
+
+[2] Sampling (Sampl.) ratios are computed following the exponential sampling introduced by Lample et al. (2019).
+
+Additional corpora not considered for pre-training, since they do not represent factual legal knowledge.
+
+| Corpus                                 | Corpus alias           | Documents | Tokens | 
+|----------------------------------------|------------------------|-----------|--------|
+| Legal web pages from C4    | `legal-c4`             | 284K      | 340M   |
+
+
+### Citation
+
+[*Ilias Chalkidis\*, Nicolas Garneau\*, Catalina E.C. Goanta, Daniel Martin Katz, and Anders Søgaard.*
+*LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development.*
+*2022. In the Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada.*](https://aclanthology.org/xxx/)
+```
+@inproceedings{chalkidis-garneau-etal-2023-lexlms,
+    title = {{LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development}},
+    author = "Chalkidis*, Ilias and 
+              Garneau*, Nicolas and
+              Goanta, Catalina and 
+              Katz, Daniel Martin and 
+              Søgaard, Anders",
+    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics",
+    month = june,
+    year = "2023",
+    address = "Toronto, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/xxx",
+}
+```

canadian_court_cases.zip

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+size 62545014

canadian_legislation.zip

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+size 40960387

ecthr_cases.zip

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+size 137058760

eurlex.zip

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+size 641368792

indian_courts_cases.zip

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+size 190546540

lexfiles.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""LexFiles: English Multinational Legal Corpora"""
+
+import datasets
+import json
+import os
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """LexFiles: English Multinational Legal Corpora"""
+
+_HOMEPAGE = "https://huggingface.co/lexlms"
+
+_VERSION = "1.0.0"
+
+
+class LexFilesConfig(datasets.BuilderConfig):
+    """BuilderConfig for LexFiles Corpora"""
+    def __init__(self, url, **kwargs):
+        super(LexFilesConfig, self).__init__(**kwargs)
+        self.url = url
+
+
+class LexFiles(datasets.GeneratorBasedBuilder):
+    """
+    The Legal Pile
+    """
+
+    VERSION = datasets.Version(_VERSION)
+    BUILDER_CONFIG_CLASS = LexFilesConfig
+    BUILDER_CONFIGS = [
+        LexFilesConfig(
+            name="eu-legislation",
+            description="EU Legislation",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/eurlex.zip'
+        ),
+        LexFilesConfig(
+            name="eu-court-cases",
+            description="EU Court cases",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/eurlex.zip'
+        ),
+        LexFilesConfig(
+            name="legal-c4",
+            description="Legal webpages extracted from C4",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles4/resolve/main/legal_c4.zip'
+        ),
+        LexFilesConfig(
+            name="ecthr-cases",
+            description="ECtHR cases",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/ecthr_cases.zip'
+        ),
+        LexFilesConfig(
+            name="uk-legislation",
+            description="UK Legislation",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/uk_legislation.zip'
+        ),
+        LexFilesConfig(
+            name="uk-court-cases",
+            description="UK Court cases",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/uk_courts_cases.zip'
+        ),
+        LexFilesConfig(
+            name="indian-court-cases",
+            description="Indian Court cases",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/indian_courts_cases.zip'
+        ),
+        LexFilesConfig(
+            name="us-contracts",
+            description="US Contracts",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/us_contracts.zip'
+        ),
+        LexFilesConfig(
+            name="us-court-cases",
+            description="US Court cases",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/courtlistener.zip'
+        ),
+        LexFilesConfig(
+            name="us-legislation",
+            description="US Legislation",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/us_legislation.zip'
+        ),
+        LexFilesConfig(
+            name="canadian-legislation",
+            description="Canadian Legislation",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/canadian_legislation.zip'
+        ),
+        LexFilesConfig(
+            name="canadian-court-cases",
+            description="Canadian Legislation",
+            version=datasets.Version(_VERSION, ""),
+            url='https://huggingface.co/datasets/lexlms/lexfiles/resolve/main/canadian_court_cases.zip'
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(self.config.url)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(data_dir, "train.jsonl"), "split": 'train'},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": os.path.join(data_dir, "validation.jsonl"), "split": 'validation'},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": 'test'},
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """
+        Reads line by line samples and generates examples.
+        :param filepath: Path to jsonl files with line by line examples.
+        """
+        logger.info("⏳ Generating examples from = %s", filepath)
+        if self.config.name in ['eu-court-cases', 'eu-legislation']:
+            with open(filepath, encoding="utf-8") as f:
+                for idx, row in enumerate(f):
+                    data = json.loads(row)
+                    if (self.config.name == 'eu-court-cases' and data['sector'] == "6") or \
+                            (self.config.name == 'eu-legislation' and data['sector'] != "6"):
+                        yield data["id"], {
+                            "text": data["text"]
+                        }
+        else:
+            with open(filepath, encoding="utf-8") as f:
+                for idx, row in enumerate(f):
+                    data = json.loads(row)
+                    yield f'{self.config.name}-{split}-{idx}', {
+                        "text": data["text"]
+                    }

uk_courts_cases.zip

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uk_legislation.zip

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us_contracts.zip

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us_legislation.zip

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