Datasets:

rcds
/

swiss_legislation

Tasks:

Text Classification

Translation

Languages: German French Italian

Size Categories: 100K<n<1M

ArXiv:

License:

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Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    BrokenPipeError
Message:      [Errno 32] Broken pipe
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1481, in dataset_module_factory
                  return HubDatasetModuleFactoryWithScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1198, in get_module
                  local_path = self.download_loading_script()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1166, in download_loading_script
                  return cached_path(file_path, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 182, in cached_path
                  output_path = get_from_cache(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 644, in get_from_cache
                  http_get(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 411, in http_get
                  with logging.tqdm(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/logging.py", line 207, in __call__
                  return tqdm_lib.tqdm(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/asyncio.py", line 24, in __init__
                  super(tqdm_asyncio, self).__init__(iterable, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1095, in __init__
                  self.refresh(lock_args=self.lock_args)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1344, in refresh
                  self.display()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1492, in display
                  self.sp(self.__str__() if msg is None else msg)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 347, in print_status
                  fp_write('\r' + s + (' ' * max(last_len[0] - len_s, 0)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 340, in fp_write
                  fp.write(str(s))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/utils.py", line 127, in inner
                  return func(*args, **kwargs)
              BrokenPipeError: [Errno 32] Broken pipe

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Dataset Card for Swiss Legislation

Dataset Summary

Swiss Legislation is a multilingual, diachronic dataset of 36K Swiss laws. This dataset is part of a challenging Information Retreival task.

Supported Tasks and Leaderboards

Languages

The total number of texts in the dataset is 35,698. The dataset is saved in lexfind_v2.jsonl format. Switzerland has four official languages German, French, Italian and Romanch with some additional English laws being represenated. Laws are written by legal experts. 36K & 18K & 11K & 6K & 534 & 207

Language	Subset	Number of Documents
German	de	18K
French	fr	11K
Italian	it	6K
Romanch	rm	534
English	en	207

Dataset Structure

Data Fields

Each entry in the dataset is a dictionary with the following keys:

canton: the canton of origin of the legislation
- example: "ag"
language: the language of the legislation
- example: "de"
uuid: a unique identifier for the legislation
- example: "ec312f57-05fe-4552-ba50-8c9c269e0f3b"
title: the title of the legislation
- example: "Gesetz über die Geoinformation im Kanton Aargau"
short: a short description of the legislation
- example: "Kantonales Geoinformationsgesetz"
abbreviation: an abbreviation for the legislation
- example: "KGeoIG"
sr_number: a reference number for the legislation
- example: "740.100"
is_active: whether the legislation is currently in force
- example: true
version_active_since: the date since when the legislation's current version is active
- example: "2021-09-01"
family_active_since: the date since when the legislation's current version's family is active
- example: "2011-05-24"
version_inactive_since: the date since when the legislation's current version is inactive
- example: null
version_found_at: the date the legislation's current version was found
- example: "2021-09-01"
pdf_url: a link to the legislation's pdf
- example: "https://www.lexfind.ch/tol/1557/de"
html_url: a link to the legislation's html
- example: "https://gesetzessammlungen.ag.ch/app/de/texts_of_law/740.100")_
pdf_content: the legislation's pdf content
- example: "740.100 - Gesetz über..."
html_content: the legislation's html content
- example: ""
changes: a list of changes made to the legislation
- example: []
history: a list of the legislation's history
- example: []
quotes: a list of quotes from the legislation
- example: []

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

'ch': Switzerland (Federal) - 15840
'fr': Fribourg - 1633
'be': Bern - 1344
'vs': Valais - 1328
'gr': Graubünden - 1205
'ne': Neuchâtel - 1115
'zh': Zurich - 974
'bs': Basel-Stadt - 899
'bl': Basel-Landschaft - 863
'vd': Vaud - 870
'ge': Geneva - 837
'sg': St. Gallen - 764
'ju': Jura - 804
'zg': Zug - 632
'ti': Ticino - 627
'lu': Lucerne - 584
'so': Solothurn - 547
'ow': Obwalden - 513
'ik': Interkantonal - 510
'sh': Schaffhausen - 469
'gl': Glarus - 467
'tg': Thurgau - 453
'sz': Schwyz - 423
'ai': Appenzell Innerrhoden - 416
'ag': Aargau - 483
'ar': Appenzell Ausserrhoden - 330
'nw': Nidwalden - 401
'ur': Uri - 367

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

The original data are published from the Swiss Federal Supreme Court (https://www.bger.ch) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (https://entscheidsuche.ch) in HTML.

Who are the source language producers?

The decisions are written by the judges and clerks in the language of the proceedings.

Annotations

Annotation process

Who are the annotators?

Metadata is published by the Swiss Federal Supreme Court (https://www.bger.ch).

Personal and Sensitive Information

The dataset contains publicly available court decisions from the Swiss Federal Supreme Court. Personal or sensitive information has been anonymized by the court before publication according to the following guidelines: https://www.bger.ch/home/juridiction/anonymisierungsregeln.html.

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

We release the data under CC-BY-4.0 which complies with the court licensing (https://www.bger.ch/files/live/sites/bger/files/pdf/de/urteilsveroeffentlichung_d.pdf) © Swiss Federal Supreme Court, 2002-2022

The copyright for the editorial content of this website and the consolidated texts, which is owned by the Swiss Federal Supreme Court, is licensed under the Creative Commons Attribution 4.0 International licence. This means that you can re-use the content provided you acknowledge the source and indicate any changes you have made. Source: https://www.bger.ch/files/live/sites/bger/files/pdf/de/urteilsveroeffentlichung_d.pdf

Citation Information

Please cite our ArXiv-Preprint

@misc{rasiah2023scale,
      title={SCALE: Scaling up the Complexity for Advanced Language Model Evaluation}, 
      author={Vishvaksenan Rasiah and Ronja Stern and Veton Matoshi and Matthias Stürmer and Ilias Chalkidis and Daniel E. Ho and Joel Niklaus},
      year={2023},
      eprint={2306.09237},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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Scaling up the Complexity for Advanced Language Model Evaluation • 10 items • Updated Dec 27, 2023