Datasets:

Tasks:
Other
Languages:
Polish
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
other
Annotations Creators:
expert-generated
Source Datasets:
original
License:
cdsc / README.md
system's picture
system HF staff
Update files from the datasets library (from 1.3.0)
1e135a8
metadata
annotations_creators:
  - expert-generated
language_creators:
  - other
languages:
  - pl
licenses:
  - cc-by-nc-sa-4-0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - other
task_ids:
  - other-other-sentences entailment and relatedness

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

  • Homepage: http://zil.ipipan.waw.pl/Scwad/CDSCorpus
  • Repository:
  • Paper: @inproceedings{wroblewska2017polish, title={Polish evaluation dataset for compositional distributional semantics models}, author={Wr{'o}blewska, Alina and Krasnowska-Kiera{'s}, Katarzyna}, booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, pages={784--792}, year={2017} }
  • Leaderboard: https://klejbenchmark.com/leaderboard/
  • Point of Contact: alina@ipipan.waw.pl

Dataset Summary

Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Polish

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

  • pair_ID: id of sentences pairs
  • sentence_A: first sentence
  • sentence_B: second sentence

for cdsc-e domain:

  • entailment_judgment: either 'NEUTRAL', 'CONTRADICTION' or 'ENTAILMENT'

for cdsc-r domain:

  • relatedness_score: float representing a reletedness

Data Splits

Data is splitted in train/dev/test split.

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

CC BY-NC-SA 4.0

Citation Information

[More Information Needed]

Contributions

Thanks to @abecadel for adding this dataset.