metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-retrieval
task_ids:
  - document-retrieval
pretty_name: the RegIR datasets
tags:
  - document-to-document-retrieval
dataset_info:
  - config_name: eu2uk
    features:
      - name: document_id
        dtype: string
      - name: publication_year
        dtype: string
      - name: text
        dtype: string
      - name: relevant_documents
        sequence: string
    splits:
      - name: train
        num_bytes: 20665018
        num_examples: 1400
      - name: test
        num_bytes: 8844125
        num_examples: 300
      - name: validation
        num_bytes: 5852794
        num_examples: 300
      - name: uk_corpus
        num_bytes: 502468239
        num_examples: 52515
    download_size: 204749702
    dataset_size: 537830176
  - config_name: uk2eu
    features:
      - name: document_id
        dtype: string
      - name: publication_year
        dtype: string
      - name: text
        dtype: string
      - name: relevant_documents
        sequence: string
    splits:
      - name: train
        num_bytes: 55144655
        num_examples: 1500
      - name: test
        num_bytes: 14810460
        num_examples: 300
      - name: validation
        num_bytes: 15175644
        num_examples: 300
      - name: eu_corpus
        num_bytes: 57212422
        num_examples: 3930
    download_size: 31835104
    dataset_size: 142343181
configs:
  - config_name: eu2uk
    data_files:
      - split: train
        path: eu2uk/train-*
      - split: test
        path: eu2uk/test-*
      - split: validation
        path: eu2uk/validation-*
      - split: uk_corpus
        path: eu2uk/uk_corpus-*

Dataset Card for the RegIR datasets

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://archive.org/details/eacl2021_regir_datasets
Repository: https://archive.org/details/eacl2021_regir_datasets
Paper: https://arxiv.org/abs/2101.10726
Leaderboard: N/A
Point of Contact: Ilias Chalkidis

Dataset Summary

The European Union (EU) has a legislation scheme analogous to regulatory compliance for organizations. According to the Treaty on the Functioning of the European Union (TFEU), all published EU directives must take effect at the national level. Thus, all EU member states must adopt a law to transpose a newly issued directive within the period set by the directive (typically 2 years).

Here, we have two datasets, EU2UK and UK2EU, containing EU directives and UK regulations, which can serve both as queries and documents under the ground truth assumption that a UK law is relevant to the EU directives it transposes and vice versa.

Supported Tasks and Leaderboards

The dataset supports:

EU2UK (eu2uk): Given an EU directive Q, retrieve the set of relevant documents from the pool of all available UK regulations. Relevant documents are those that transpose the EU directive (Q).

UK2EU (uk2eu): Given a UK regulation Q, retrieve the set of relevant documents from the pool of all available EU directives. Relevant documents are those that are being transposed by the UK regulations (Q).

Languages

All documents are written in English.

Dataset Structure

Data Instances

{
  "document_id": "31977L0794",
  "publication_year": "1977",
  "text": "Commission Directive 77/794/EEC ... of agricultural levies and customs duties",
  "relevant_documents": ["UKPGA19800048", "UKPGA19770036"]
}

Data Fields

The following data fields are provided for query documents (train, dev, test):

document_id: (str) The ID of the document.
publication_year: (str) The publication year of the document.
text: (str) The text of the document.
relevant_documents: (List[str]) The list of relevant documents, as represented by their document_id.

The following data fields are provided for corpus documents (corpus):

document_id: (str) The ID of the document.
publication_year: (str) The publication year of the document.
text: (str) The text of the document.\

Data Splits

EU2UK dataset

Split	No of Queries	Avg. relevant documents
Train	1,400	1.79
Development	300	2.09
Test	300	1.74
Document Pool (Corpus): 52,515 UK regulations

UK2EU dataset

Split	No of Queries	Avg. relevant documents
Train	1,500	1.90
Development	300	1.46
Test	300	1.29
Document Pool (Corpus): 3,930 EU directives

Dataset Creation

Curation Rationale

The dataset was curated by Chalkidis et al. (2021).
The transposition pairs are publicly available by the Publications Office of EU (https://publications.europa.eu/en).

Source Data

Initial Data Collection and Normalization

The original data are available at EUR-Lex portal (https://eur-lex.europa.eu) and Legislation.GOV.UK (http://legislation.gov.uk/) in an unprocessed format.
The transposition pairs are provided by the EU member states (in our case, UK) and were downloaded from the SPARQL endpoint of the Publications Office of EU (http://publications.europa.eu/webapi/rdf/sparql).\ For more information on the dataset curation, read Chalkidis et al. (2021).

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

The original data are available at EUR-Lex portal (https://eur-lex.europa.eu) and Legislation.GOV.UK (http://legislation.gov.uk/) in an unprocessed format.
The transposition pairs are provided by the EU member states (in our case, UK) and were downloaded from the SPARQL endpoint of the Publications Office of EU (http://publications.europa.eu/webapi/rdf/sparql).

Who are the annotators?

Publications Office of EU (https://publications.europa.eu/en)

Personal and Sensitive Information

The dataset does not include personal or sensitive information.

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

Chalkidis et al. (2021)

Licensing Information

EU Data

The Commission’s document reuse policy is based on Decision 2011/833/EU. Unless otherwise specified, you can re-use the legal documents published in EUR-Lex for commercial or non-commercial purposes.

The copyright for the editorial content of this website, the summaries of EU legislation and the consolidated texts, which is owned by the EU, is licensed under the Creative Commons Attribution 4.0 International licence . This means that you can re-use the content provided you acknowledge the source and indicate any changes you have made.

Source: https://eur-lex.europa.eu/content/legal-notice/legal-notice.html
Read more: https://eur-lex.europa.eu/content/help/faq/reuse-contents-eurlex.html

UK Data

You are encouraged to use and re-use the Information that is available under this licence freely and flexibly, with only a few conditions.

You are free to:

copy, publish, distribute and transmit the Information;
adapt the Information;
exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application.

You must (where you do any of the above):

acknowledge the source of the Information in your product or application by including or linking to any attribution statement specified by the Information Provider(s) and, where possible, provide a link to this licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.

Citation Information

Ilias Chalkidis, Manos Fergadiotis, Nikos Manginas, Eva Katakalou and Prodromos Malakasiotis. Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021). Online. 2021

@inproceedings{chalkidis-etal-2021-regir,
    title = "Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations",
    author = "Chalkidis, Ilias  and Fergadiotis, Manos and Manginas, Nikos and Katakalou, Eva,  and Malakasiotis, Prodromos",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)",
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2101.10726",
}

Contributions

Thanks to @iliaschalkidis for adding this dataset.

Datasets:

community-datasets
/

eu_regulatory_ir

Dataset Card for the RegIR datasets

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

Data Fields

Data Splits

EU2UK dataset

UK2EU dataset

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions