Update README.md

README.md

@@ -330,3 +330,146 @@ configs:
   - split: validation
     path: data/validation-*
 ---
+# Dataset card for Text Anonymization Benchmark (TAB) train
+
+## 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 training 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}
+}
+```