Datasets:
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
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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]