
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This is a multilingual dataset containing ~130k annotated sentence boundaries. It contains laws and court decision in 6 different languages.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English, French, Italian, German, Portuguese, Spanish

## Dataset Structure

It is structured in the following format: {language}\_{type}\_{shard}.jsonl.xz

type is one of the following:
- laws
- judgements

Use the the dataset like this:
```
from datasets import load_dataset
config = 'fr_laws' #{language}_{type} | to load all languages and/or all types, use 'all_all'
dataset = load_dataset('rdcs/MultiLegalSBD', config)
```

### Data Instances

[More Information Needed]

### Data Fields

- text: the original text
- spans:
  - start: offset of the first character
  - end: offset of the last character
  - label: One label only -> Sentence
  - token_start: id of the first token
  - token_end: id of the last token
- tokens:
  - text: token text
  - start: offset of the first character
  - end: offset of the last character
  - id: token id
  - ws: whether the token is followed by whitespace
  

### Data Splits

There is only one split available

## 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

[More Information Needed]

### Citation Information

```
@inproceedings{10.1145/3594536.3595132,
author = {Brugger, Tobias and St\"{u}rmer, Matthias and Niklaus, Joel},
title = {MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset},
year = {2023},
isbn = {9798400701979},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3594536.3595132},
doi = {10.1145/3594536.3595132},
abstract = {Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output quality of downstream tasks. It is a challenging task for algorithms, especially in the legal domain, considering the complex and different sentence structures used. In this work, we curated a diverse multilingual legal dataset consisting of over 130'000 annotated sentences in 6 languages. Our experimental results indicate that the performance of existing SBD models is subpar on multilingual legal data. We trained and tested monolingual and multilingual models based on CRF, BiLSTM-CRF, and transformers, demonstrating state-of-the-art performance. We also show that our multilingual models outperform all baselines in the zero-shot setting on a Portuguese test set. To encourage further research and development by the community, we have made our dataset, models, and code publicly available.},
booktitle = {Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law},
pages = {42–51},
numpages = {10},
keywords = {Natural Language Processing, Sentence Boundary Detection, Text Annotation, Legal Document Analysis, Multilingual},
location = {Braga, Portugal},
series = {ICAIL '23}
}
```

### Contributions

[More Information Needed]
task_categories:token-classification size_categories:100K<n<1M language:en language:es language:de language:it language:pt language:fr region:us
{"language": ["en", "es", "de", "it", "pt", "fr"], "size_categories": ["100K<n<1M"], "task_categories": ["token-classification"], "pretty_name": "MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset", "dataset_info": [{"config_name": "fr_Laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8773683, "num_examples": 2131}], "download_size": 0, "dataset_size": 8773683}, {"config_name": "it_Laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8130577, "num_examples": 2910}], "download_size": 0, "dataset_size": 8130577}, {"config_name": "es_Laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6260211, "num_examples": 677}], "download_size": 0, "dataset_size": 6260211}, {"config_name": "en_Laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train"}], "download_size": 0, "dataset_size": 0}, {"config_name": "de_Laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13792836, "num_examples": 13}], "download_size": 0, "dataset_size": 13792836}, {"config_name": "fr_Judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8788244, "num_examples": 315}], "download_size": 0, "dataset_size": 8788244}, {"config_name": "fr_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25977816, "num_examples": 2446}], "download_size": 4782672, "dataset_size": 25977816}, {"config_name": "it_Judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8989061, "num_examples": 243}], "download_size": 0, "dataset_size": 8989061}, {"config_name": "it_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25097560, "num_examples": 3153}], "download_size": 4610540, "dataset_size": 25097560}, {"config_name": "es_Judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9460558, "num_examples": 190}], "download_size": 0, "dataset_size": 9460558}, {"config_name": "es_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23090629, "num_examples": 867}], "download_size": 4438716, "dataset_size": 23090629}, {"config_name": "en_Judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18401754, "num_examples": 80}], "download_size": 0, "dataset_size": 18401754}, {"config_name": "en_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27363914, "num_examples": 80}], "download_size": 5448700, "dataset_size": 27363914}, {"config_name": "de_Judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14082173, "num_examples": 131}], "download_size": 0, "dataset_size": 14082173}, {"config_name": "de_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 40429185, "num_examples": 144}], "download_size": 7883640, "dataset_size": 40429185}, {"config_name": "fr_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12924503, "num_examples": 2131}], "download_size": 2201568, "dataset_size": 12924503}, {"config_name": "fr_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13053313, "num_examples": 315}], "download_size": 2581104, "dataset_size": 13053313}, {"config_name": "it_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11869343, "num_examples": 2910}], "download_size": 2048828, "dataset_size": 11869343}, {"config_name": "it_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13228218, "num_examples": 243}], "download_size": 2561712, "dataset_size": 13228218}, {"config_name": "es_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9183057, "num_examples": 677}], "download_size": 1753376, "dataset_size": 9183057}, {"config_name": "es_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13907572, "num_examples": 190}], "download_size": 2685340, "dataset_size": 13907572}, {"config_name": "en_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train"}], "download_size": 0, "dataset_size": 0}, {"config_name": "en_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27363914, "num_examples": 80}], "download_size": 5448700, "dataset_size": 27363914}, {"config_name": "de_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19935635, "num_examples": 13}], "download_size": 3745480, "dataset_size": 19935635}, {"config_name": "de_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20493550, "num_examples": 131}], "download_size": 4138160, "dataset_size": 20493550}, {"config_name": "pt_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1005902, "num_examples": 58}], "download_size": 209128, "dataset_size": 1005902}, {"config_name": "pt_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 812282, "num_examples": 10}], "download_size": 173424, "dataset_size": 812282}, {"config_name": "pt_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1818184, "num_examples": 68}], "download_size": 382552, "dataset_size": 1818184}, {"config_name": "all_laws", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 54918438, "num_examples": 5789}], "download_size": 9958380, "dataset_size": 54918438}, {"config_name": "all_judgements", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88858845, "num_examples": 969}], "download_size": 17588440, "dataset_size": 88858845}, {"config_name": "all_all", "features": [{"name": "text", "dtype": "string"}, {"name": "spans", "list": [{"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "token_start", "dtype": "int64"}, {"name": "token_end", "dtype": "int64"}]}, {"name": "tokens", "list": [{"name": "text", "dtype": "string"}, {"name": "start", "dtype": "int64"}, {"name": "end", "dtype": "int64"}, {"name": "id", "dtype": "int64"}, {"name": "ws", "dtype": "bool"}]}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 143777284, "num_examples": 6758}], "download_size": 27546820, "dataset_size": 143777284}]}
TAGS
#task_categories-token-classification #size_categories-100K<n<1M #language-English #language-Spanish #language-German #language-Italian #language-Portuguese #language-French #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:

### Dataset Summary

This is a multilingual dataset containing ~130k annotated sentence boundaries. It contains laws and court decision in 6 different languages.

### Supported Tasks and Leaderboards



### Languages

English, French, Italian, German, Portuguese, Spanish

## Dataset Structure

It is structured in the following format: {language}\_{type}\_{shard}.URL

type is one of the following:
- laws
- judgements

Use the the dataset like this:


### Data Instances



### Data Fields

- text: the original text
- spans:
  - start: offset of the first character
  - end: offset of the last character
  - label: One label only -> Sentence
  - token_start: id of the first token
  - token_end: id of the last token
- tokens:
  - text: token text
  - start: offset of the first character
  - end: offset of the last character
  - id: token id
  - ws: whether the token is followed by whitespace
  

### Data Splits

There is only one split available

## 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







### Contributions


# Dataset Card for Dataset Name ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

This is a multilingual dataset containing ~130k annotated sentence boundaries. It contains laws and court decision in 6 different languages. ### Supported Tasks and Leaderboards ### Languages

English, French, Italian, German, Portuguese, Spanish ## Dataset Structure

It is structured in the following format: {language}\_{type}\_{shard}.URL

type is one of the following:
- laws
- judgements

Use the the dataset like this: ### Data Instances ### Data Fields

- text: the original text
- spans:
  - start: offset of the first character
  - end: offset of the last character
  - label: One label only -> Sentence
  - token_start: id of the first token
  - token_end: id of the last token
- tokens:
  - text: token text
  - start: offset of the first character
  - end: offset of the last character
  - id: token id
  - ws: whether the token is followed by whitespace ### Data Splits

There is only one split available ## 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 ### Contributions
TAGS
#task_categories-token-classification #size_categories-100K<n<1M #language-English #language-Spanish #language-German #language-Italian #language-Portuguese #language-French #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary

This is a multilingual dataset containing ~130k annotated sentence boundaries. It contains laws and court decision in 6 different languages. ### Supported Tasks and Leaderboards ### Languages

English, French, Italian, German, Portuguese, Spanish ## Dataset Structure

It is structured in the following format: {language}\_{type}\_{shard}.URL

type is one of the following:
- laws
- judgements

Use the the dataset like this: ### Data Instances ### Data Fields

- text: the original text
- spans:
  - start: offset of the first character
  - end: offset of the last character
  - label: One label only -> Sentence
  - token_start: id of the first token
  - token_end: id of the last token
- tokens:
  - text: token text
  - start: offset of the first character
  - end: offset of the last character
  - id: token id
  - ws: whether the token is followed by whitespace ### Data Splits

There is only one split available ## 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 ### Contributions
passage: TAGS
#task_categories-token-classification #size_categories-100K<n<1M #language-English #language-Spanish #language-German #language-Italian #language-Portuguese #language-French #region-us 
# Dataset Card for Dataset Name## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:### Dataset Summary

This is a multilingual dataset containing ~130k annotated sentence boundaries. It contains laws and court decision in 6 different languages.### Supported Tasks and Leaderboards### Languages

English, French, Italian, German, Portuguese, Spanish## Dataset Structure

It is structured in the following format: {language}\_{type}\_{shard}.URL

type is one of the following:
- laws
- judgements

Use the the dataset like this:### Data Instances### Data Fields

- text: the original text
- spans:
  - start: offset of the first character
  - end: offset of the last character
  - label: One label only -> Sentence
  - token_start: id of the first token
  - token_end: id of the last token
- tokens:
  - text: token text
  - start: offset of the first character
  - end: offset of the last character
  - id: token id
  - ws: whether the token is followed by whitespace### Data Splits

There is only one split available## 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### Contributions