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---
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
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sequence: string
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- 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
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dtype: string
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dtype: string
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struct:
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sequence: string
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struct:
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- name: entity_id
dtype: string
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dtype: string
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dtype: string
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dtype: string
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sequence: string
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struct:
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list:
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dtype: string
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sequence: string
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struct:
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list:
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dtype: string
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dtype: string
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sequence: string
- name: span_text
dtype: string
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- name: annotator8
struct:
- name: entity_mentions
list:
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dtype: string
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dtype: string
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dtype: string
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sequence: string
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dtype: string
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- name: annotator9
struct:
- name: entity_mentions
list:
- name: confidential_status
dtype: string
- name: edit_type
dtype: string
- name: end_offset
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dtype: string
- name: entity_mention_id
dtype: string
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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](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This is the validation and test split of the [Text Anonymisation Benchmark](https://github.com/NorskRegnesentral/text-anonymization-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
```bibtex
@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}
}
```