---
language_creators:
- found
- machine-generated
language:
- en
- fr
- ru
- es
- hr
- it
- pt
- tr
- pl
- lt
- de
- uk
- hu
- nl
- sq
- ro
- sr
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 1K<n<10K
- n<1K
pretty_name: LaCour!
tags:
- legal
- hearing
- oral argument
- transcript
- echr
- dialog
dataset_info:
- config_name: documents
  features:
  - name: id
    dtype: int32
  - name: webcast_id
    dtype: string
  - name: hearing_title
    dtype: string
  - name: hearing_date
    dtype: string
  - name: hearing_type
    dtype: string
  - name: application_number
    sequence: string
  - name: case_id
    dtype: string
  - name: case_name
    dtype: string
  - name: case_url
    dtype: string
  - name: ecli
    dtype: string
  - name: type
    dtype: string
  - name: document_date
    dtype: string
  - name: importance
    dtype: int32
  - name: articles
    sequence: string
  - name: respondent_government
    sequence: string
  - name: issue
    dtype: string
  - name: strasbourg_caselaw
    dtype: string
  - name: external_sources
    dtype: string
  - name: conclusion
    dtype: string
  - name: separate_opinion
    dtype: bool
  splits:
  - name: train
    num_bytes: 1007746
    num_examples: 379
  download_size: 1714597
  dataset_size: 1007746
- config_name: transcripts
  features:
  - name: id
    dtype: int32
  - name: webcast_id
    dtype: string
  - name: segment_id
    dtype: int32
  - name: speaker_name
    dtype: string
  - name: speaker_role
    dtype: string
  - name: data
    sequence:
    - name: begin
      dtype: float32
    - name: end
      dtype: float32
    - name: language
      dtype: string
    - name: text
      dtype: string
  splits:
  - name: train
    num_bytes: 13950690
    num_examples: 4000
  download_size: 5475134
  dataset_size: 13950690
viewer: false
---

## Dataset Description

- **Homepage: https://trusthlt.org/lacour**
- **Repository: https://github.com/trusthlt/lacour-corpus**
- **Paper: tbd**

### Dataset Summary

This dataset contains transcribed court hearings sourced from official hearings of the __European Court of Human Rights__ ([https://www.echr.coe.int/webcasts-of-hearings](https://www.echr.coe.int/webcasts-of-hearings)). The hearings are 154 selected webcasts (videos) from 2012-2022 in their original language (no interpretation). With manual annotation for language labels and automatic processing of the extracted audio with [pyannote](https://huggingface.co/pyannote/speaker-diarization) and [whisper-large-v2](https://huggingface.co/openai/whisper-large-v2), the resulting dataset contains 4000 speaker turns and 88920 individual lines. The dataset contains two subsets, the transcripts and the metadata with linked documents. The transcripts are additionally available as .txt or .xml.

### Languages

The largest amounts in the transcripts are:

English, French

A smaller portion also contains the following languages:

Russian, Spanish, Croatian, Italian, Portuguese, Turkish, Polish, Lithuanian, German, Ukrainian, Hungarian, Dutch, Albanian, Romanian, Serbian

The collected metadata is:

English

## Dataset Structure

### Data Instances

Each instance in transcripts represents an entire segment of a transcript, similar to a conversation turn in a dialog.  

```
{
 'id': 0,
 'webcast_id': '1021112_29112017',
 'segment_id': 0,
 'speaker_name': 'UNK',
 'speaker_role': 'Announcer',
 'data': {
   'begin': [12.479999542236328],
   'end': [13.359999656677246],
   'language': ['fr'],
   'text': ['La Cour!']
  }
}
```

Each instance in documents represents a information on a document in hudoc associated with a hearing and the metadata associated with a hearing. The actual document is linked and can also be found in [hudoc](https://hudoc.echr.coe.int) with the case_id. Note: `hearing_type` states the type of the hearing, `type` states the type of the document. If the hearing is a "Grand Chamber hearing", the "CHAMBER" document refers to a different hearing.

```
{
  'id': 16,
  'webcast_id': '1232311_02102012',
  'hearing_title': 'Michaud v. France (nos. 12323/11)',
  'hearing_date': '2012-10-02 00:00:00',
  'hearing_type': 'Chamber hearing',
  'application_number': ['12323/11'],
  'case_id': '001-115377',
  'case_name': 'CASE OF MICHAUD v. FRANCE',
  'case_url': 'https://hudoc.echr.coe.int/eng?i=001-115377',
  'ecli': 'ECLI:CE:ECHR:2012:1206JUD001232311',
  'type': 'CHAMBER',
  'document_date': '2012-12-06 00:00:00',
  'importance': 1,
  'articles': ['8', '8-1', '8-2', '34', '35'],
  'respondent_government': ['FRA'],
  'issue': 'Decision of the National Bar Council of 12 July 2007 “adopting regulations on internal procedures for implementing the obligation to combat money laundering and terrorist financing, and an internal supervisory mechanism to guarantee compliance with those procedures” ; Article 21-1 of the Law of 31 December 1971 ; Law no. 2004-130 of 11 February 2004 ; Monetary and Financial Code',
  'strasbourg_caselaw': 'André and Other v. France, no 18603/03, 24 July 2008;Bosphorus Hava Yollari Turizm ve Ticaret Anonim Sirketi v. Ireland [GC], no 45036/98, ECHR 2005-VI;[...]',
  'external_sources': 'Directive 91/308/EEC, 10 June 1991;Article 6 of the Treaty on European Union;Charter of Fundamental Rights of the European Union;Articles 169, 170, 173, 175, 177, 184 and 189 of the Treaty establishing the European Community;Recommendations 12 and 16 of the financial action task  force (“FATF”) on money laundering;Council of Europe Convention on Laundering, Search, Seizure and Confiscation of the Proceeds from Crime and on the Financing of Terrorism  (16 May 2005)',
  'conclusion': 'Remainder inadmissible;No violation of Article 8 - Right to respect for private and family life (Article 8-1 - Respect for correspondence;Respect for private life)',
  'separate_opinion': True
  }


```

### Data Fields

transcripts:

* id: the identifier
* webcast_id: the identifier for the hearing
* segment_id: the identifier of the current speaker segment in the current hearing
* speaker_name: the name of the speaker (not given for Applicant, Government or Third Party)
* speaker_role: the role/party the speaker represents (`Announcer` for announcements, `Judge` for judges, `JudgeP` for judge president, `Applicant` for representatives of the applicant, `Government` for representatives of the respondent government, `ThirdParty` for representatives of third party interveners)
* data: sequence of the following fields
  * begin: the timestamp for begin of line (in seconds)
  * end: the timestamp for end of line (in seconds)
  * language: the language spoken (in ISO 639-1)
  * text: the spoken line

documents:

* id: the identifier
* webcast_id: the identifier for the hearing (allows linking to transcripts)
* hearing_title: the title of the hearing
* hearing_date: the date of the hearing
* hearing_type: the type of hearing (Grand Chamber, Chamber or Grand Chamber Judgment Hearing)
* application_number: the application numbers which are associated with the hearing and case
* case_id: the id of the case
* case_name: the name of the case 
* case_url: the direct link to the document
* ecli: the ECLI (European Case Law Identifier)
* type: the type of the document
* document_date: the date of the document
* importance: the importance score of the case (1 is the highest importance, key case)
* articles: the concerning articles of the Convention of Human Rights
* respondent_government: the code of the respondent government(s) (in ISO-3166 Alpha-3)
* issue: the references to the issue of the case
* strasbourg_caselaw: the list of cases in the ECHR which are relevant to the current case
* external_sources: the relevant references outside of the ECHR
* conclusion: the short textual description of the conclusion
* separate_opinion: the indicator if there is a separate opinion

### Data Splits

The dataset is only split into a train set.


## Dataset Creation

### Curation Rationale

This datasets provides partly corrected transcribed webcasts to enable the processing of hearings in legal NLP. No specific task is given.

### Source Data

#### Data Collection

The data was collected by transcribing the publicly available [webcasts of the ECHR](https://www.echr.coe.int/webcasts-of-hearings) with the help of [pyannote](https://huggingface.co/pyannote/speaker-diarization) and [whisper-large-v2](https://huggingface.co/openai/whisper-large-v2). The documents were sourced from the [ECHR hudoc database](https://hudoc.echr.coe.int).

#### Who are the source producers?

Participants in hearings before the ECHR for the audio and video material. Employees and judges of the ECHR for the documents.

### Annotations

#### Annotation process

**language identification** Spoken languages were manually identified by research assistants. Disagreements were discussed to achieve the final language label.

**transcript correction** All parts spoken by Judge or Judge President are corrected for the languages English and French by research assistants with a high proficiency in the respective language.

#### Personal and Sensitive Information

The dataset contains names of judges and other participants in the hearings. Due to those names being available in the public court material, we did not remove them. The machine-generated transcripts may also contain names, which were neither checked nor removed. In case of sensitive information, we rely on the provided material to provide protection (occasionally bleeping out names which should not have been mentioned in webcasts, appropriate anonymization in the documents).


## Additional Information

Download the transcripts and linked documents:

```
from datasets import load_dataset

lacour_transcripts = load_dataset("TrustHLT/LaCour", "transcripts") # default config
lacour_documents = load_dataset("TrustHLT/LaCour", "documents")

```

Formatted versions of the transcripts in .txt and .xml and more information on the collection and creation can be found on [github](https://github.com/trusthlt/lacour-corpus).


### Citation Information

Please cite this data using:

```
[tbd]
```