Datasets:
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
languages:
- he
licenses:
- pddl
multilinguality:
- monolingual
pretty_name: Knesset Meetings Corpus
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- language-modeling
task_ids:
- language-modeling
Dataset Card for "wikitext"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://zenodo.org/record/2707356
- Repository: https://github.com/NLPH/knesset-2004-2005
- Paper:
- Point of Contact:
- Size of downloaded dataset files:
- Size of the generated dataset:
- Total amount of disk used:
Dataset Summary
The Knesset Meetings Corpus 2004-2005 is made up of two components:
Raw texts - 282 files made up of 867,725 lines together. These can be downloaded in two formats:
As
docfiles, encoded usingwindows-1255encoding:kneset16.zip- Contains 164 text files made up of 543,228 lines together.[MILA host] <http://yeda.cs.technion.ac.il:8088/corpus/software/corpora/knesset/txt/docs/kneset16.zip>_[Github Mirror] <https://github.com/NLPH/knesset-2004-2005/blob/master/kneset16.zip?raw=true>_kneset17.zip- Contains 118 text files made up of 324,497 lines together.[MILA host] <http://yeda.cs.technion.ac.il:8088/corpus/software/corpora/knesset/txt/docs/kneset17.zip>_[Github Mirror] <https://github.com/NLPH/knesset-2004-2005/blob/master/kneset17.zip?raw=true>_
As
txtfiles, encoded usingutf8encoding:kneset.tar.gz- An archive of all the raw text files, divided into two folders:[Github mirror] <https://github.com/NLPH/knesset-2004-2005/blob/master/kneset.tar.gz>_16- Contains 164 text files made up of 543,228 lines together.17- Contains 118 text files made up of 324,497 lines together.
knesset_txt_16.tar.gz- Contains 164 text files made up of 543,228 lines together.[MILA host] <http://yeda.cs.technion.ac.il:8088/corpus/software/corpora/knesset/txt/utf8/knesset_txt_16.tar.gz>_[Github Mirror] <https://github.com/NLPH/knesset-2004-2005/blob/master/knesset_txt_16.tar.gz?raw=true>_knesset_txt_17.zip- Contains 118 text files made up of 324,497 lines together.[MILA host] <http://yeda.cs.technion.ac.il:8088/corpus/software/corpora/knesset/txt/utf8/knesset_txt_17.zip>_[Github Mirror] <https://github.com/NLPH/knesset-2004-2005/blob/master/knesset_txt_17.zip?raw=true>_
Tokenized and morphologically tagged texts - Tagged versions exist only for the files in the
16folder. The texts are encoded usingMILA's XML schema for corpora <http://www.mila.cs.technion.ac.il/eng/resources_standards.html>_. These can be downloaded in two ways:knesset_tagged_16.tar.gz- An archive of all tokenized and tagged files.[MILA host] <http://yeda.cs.technion.ac.il:8088/corpus/software/corpora/knesset/tagged/knesset_tagged_16.tar.gz>_[Archive.org mirror] <https://archive.org/details/knesset_transcripts_2004_2005>_By cloning this repository, as the unarchived version of these files can be found in this repository, under the
knesset_taggedfolder.
Use
txt format
These can be processed like any simple text file.
doc format
Reading the doc-formatted raw text files requires using a software supporting the windows-1255 encoding.
For example, you can process these files using Python with the following code:
.. code-block:: python
fpath = "/data/knesset/16/00133504.txt"
with open(fpath, 'rt', encoding='windows-1255') as f:
line = f.readline()
# or with "for line in f", etc...
Mirrors
This repository is a mirror of this dataset found on MILA's website <http://www.mila.cs.technion.ac.il/eng/resources_corpora_haknesset.html>_.
Zenodo mirror: https://zenodo.org/record/2707356 <https://zenodo.org/record/2707356>_
License
All Knesset meeting protocols are in the public domain <https://en.wikipedia.org/wiki/Public_domain>_ (רשות הציבור <https://he.wikipedia.org/wiki/%D7%A8%D7%A9%D7%95%D7%AA_%D7%94%D7%A6%D7%99%D7%91%D7%95%D7%A8>_) by law. These files are thus in the public doamin and do not require any license or public domain dedication to set their status.
.. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.2707356.svg :target: https://doi.org/10.5281/zenodo.2707356
.. |LICENCE| image:: https://github.com/NLPH/knesset-2004-2005/blob/master/public_domain_shield.svg :target: https://en.wikipedia.org/wiki/Public_domain
.. |PUBDOM| image:: https://github.com/NLPH/knesset-2004-2005/blob/master/public_domain.png :target: https://en.wikipedia.org/wiki/Public_domain
Supported Tasks and Leaderboards
Languages
Dataset Structure
Available "kneset16","kneset17","knesset_tagged" configurations And only train set.
train_ds = load_dataset("imvladikon/knesset_meetings_corpus", "kneset16", split="train")
Data Instances
An example of sample:
{
"text": <text content of given document>,
"path": <file path to docx>
}
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
The dataset is available under the Open Data Commons Public Domain Dedication & License 1.0.