Update README.md

README.md

@@ -1,3 +1,101 @@
 ---
-license: cc-by-nc-sa-4.0
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- en
+license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- extended
+task_categories:
+- text-classification
+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:ilias.chalkidis@di.ku.dk)
+
+### 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: EU Legislation               | `eu-legislation`     | 93.7K     | 233.7M | 1.2%   | 5.0%           | 8.0%           |
+| :eu: EU Court Decisions           | `eu-court-cases`     | 29.8K     | 178.5M | 0.9%   | 4.3%           | 7.6%           |
+| :eu: ECtHR Decisions              | `ecthr-cases`        | 12.5K     | 78.5M  | 0.4%   | 2.9%           | 6.5%           |
+| :uk: UK Legislation               | `uk-legislation`     | 52.5K     | 143.6M | 0.7%   | 3.9%           | 7.3%           |
+| :uk: UK Court Decisions           | `uk-court-cases`     | 47K       | 368.4M | 1.9%   | 6.2%           | 8.8%           |
+| :india: Indian Court Decisions    | `indian-court-cases` | 34.8K     | 111.6M | 0.6%   | 3.4%           | 6.9%           |
+| :canada: Canadian Legislation     | `canada-legislation` | 6K        | 33.5M  | 0.2%   | 1.9%           | 5.5%           |
+| :canada: Canadian Court Decisions | `canadian_decisions` | 11.3K     | 33.1M  | 0.2%   | 1.8%           | 5.4%           |
+| :us: U.S. Court Decisions [1]     | `court-listener`     | 4.6M      | 11.4B  | 59.2%  | 34.7%          | 17.5%          |
+| :us: U.S. Legislation             | `us-legislation`     | 518       | 1.4B   | 7.4%   | 12.3%          | 11.5%          |
+| :us: 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 | 
+|----------------------------------------|------------------------|-----------|--------|
+| :world_map: 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 61h 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",
+}
+```