metadata
dataset_info:
features:
- name: doc_id
dtype: string
- name: quality_checked
sequence: string
- name: text
dtype: string
- name: dataset_type
dtype: string
- name: annotations
struct:
- name: annotator1
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator10
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator11
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator12
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator2
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator3
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator4
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator5
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator6
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator7
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator8
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: annotator9
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
dtype: int64
- name: entity_id
dtype: string
- name: entity_mention_id
dtype: string
- name: entity_type
dtype: string
- name: identifier_type
dtype: string
- name: related_mentions
sequence: string
- name: span_text
dtype: string
- name: start_offset
dtype: int64
- name: meta
struct:
- name: applicant
dtype: string
- name: articles
sequence: int64
- name: countries
dtype: string
- name: legal_branch
dtype: string
- name: year
dtype: int64
- name: task
dtype: string
splits:
- name: test
num_bytes: 4649866
num_examples: 127
- name: validation
num_bytes: 4510489
num_examples: 127
download_size: 2649915
dataset_size: 9160355
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: validation
path: data/validation-*
license: mit
task_categories:
- token-classification
tags:
- legal
pretty_name: TAB
Dataset card for Text Anonymization Benchmark (TAB) Validation & Test
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This is the validation and test split of the Text Anonymisation Benchmark. As the title says it's a dataset focused on text anonymisation, specifcially European Court Documents, which contain labels by mutltiple annotators.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
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
TAB is released under an MIT License. The MIT License is a short and simple permissive license allowing both commercial and non-commercial use of the software.
Citation Information
[More Information Needed]
Contributions
@article{DBLP:journals/corr/abs-2202-00443,
author = {Ildik{\'{o}} Pil{\'{a}}n and
Pierre Lison and
Lilja {\O}vrelid and
Anthi Papadopoulou and
David S{\'{a}}nchez and
Montserrat Batet},
title = {The Text Anonymization Benchmark {(TAB):} {A} Dedicated Corpus and
Evaluation Framework for Text Anonymization},
journal = {CoRR},
volume = {abs/2202.00443},
year = {2022},
url = {https://arxiv.org/abs/2202.00443},
eprinttype = {arXiv},
eprint = {2202.00443},
timestamp = {Wed, 09 Feb 2022 15:43:35 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-00443.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}