metadata

dataset_info:
  - config_name: default
    features:
      - name: slug
        dtype: string
      - name: text_chunk
        dtype: string
      - name: embedding
        sequence: float64
    splits:
      - name: train
        num_bytes: 17448677826
        num_examples: 3655376
    download_size: 14805980593
    dataset_size: 17448677826
  - config_name: small
    features:
      - name: slug
        dtype: string
      - name: text_chunk
        dtype: string
      - name: embedding
        sequence: float32
    splits:
      - name: train
        num_bytes: 475656222.6698008
        num_examples: 99531
      - name: test
        num_bytes: 23459991.330199156
        num_examples: 4909
    download_size: 488406448
    dataset_size: 499116214
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: small
    data_files:
      - split: train
        path: small/train-*
      - split: test
        path: small/test-*

Dataset Card for "processed-old-with-embeddings"

Dataset Description

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

Dataset Summary

Chunks of about 256 words split by whitespace and their embeddings computed with the pretrained spacy model ["de_dep_news_trf"] (https://github.com/explosion/spacy-models/releases/tag/de_dep_news_trf-3.6.1). The splits are created with respect to sentence boundaries parsed with the same model, sentences are concatenated if the result does not exceed max_words = 256, therefore the chunk length varies.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

This dataset contains texts from the legal domain in German language. (German court decisions)

Dataset Structure

[More Information Needed]

Data Instances

{'slug': 'ag-pinneberg-2003-12-19-68-ii-9302-weg', 'text_chunk': 'Die Berufung des Klägers gegen das am 23. April 2002 verkündete Urteil der 1. Zivilkammer des Landgerichts Wuppertal wird zurückgewiesen.\n\n Der Kläger trägt (...)', 'embedding': [-0.055155396461486816, -0.3904547095298767, -0.0033536632545292377, 0.8048776984214783, 0.30156993865966797, 0.5924882888793945, (...)]]}

Data Fields

{ 'slug': data['slug'], 'text_chunk': text, 'embedding': embedding }

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?

This dataset contains texts from the legal domain in German language. (German court decisions)

Citation Information

@inproceedings{10.1145/3383583.3398616, author = {Ostendorff, Malte and Blume, Till and Ostendorff, Saskia}, title = {Towards an Open Platform for Legal Information}, year = {2020}, isbn = {9781450375856}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3383583.3398616}, doi = {10.1145/3383583.3398616}, booktitle = {Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020}, pages = {385–388}, numpages = {4}, keywords = {open data, open source, legal information system, legal data}, location = {Virtual Event, China}, series = {JCDL '20} }