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cdsc

Tasks:
Other
Modalities:
Tabular
Text
Formats:
parquet
Languages:
Polish
Size:
10K - 100K
Tags:
sentences entailment and relatedness
Libraries:
Datasets
pandas
Croissant
License:
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - pl
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - other
task_ids: []
paperswithcode_id: polish-cdscorpus
pretty_name: Polish CDSCorpus
tags:
  - sentences entailment and relatedness
dataset_info:
  - config_name: cdsc-e
    features:
      - name: pair_ID
        dtype: int32
      - name: sentence_A
        dtype: string
      - name: sentence_B
        dtype: string
      - name: entailment_judgment
        dtype:
          class_label:
            names:
              '0': NEUTRAL
              '1': CONTRADICTION
              '2': ENTAILMENT
    splits:
      - name: train
        num_bytes: 1381894
        num_examples: 8000
      - name: test
        num_bytes: 179392
        num_examples: 1000
      - name: validation
        num_bytes: 174654
        num_examples: 1000
    download_size: 744169
    dataset_size: 1735940
  - config_name: cdsc-r
    features:
      - name: pair_ID
        dtype: int32
      - name: sentence_A
        dtype: string
      - name: sentence_B
        dtype: string
      - name: relatedness_score
        dtype: float32
    splits:
      - name: train
        num_bytes: 1349894
        num_examples: 8000
      - name: test
        num_bytes: 175392
        num_examples: 1000
      - name: validation
        num_bytes: 170654
        num_examples: 1000
    download_size: 747648
    dataset_size: 1695940
configs:
  - config_name: cdsc-e
    data_files:
      - split: train
        path: cdsc-e/train-*
      - split: test
        path: cdsc-e/test-*
      - split: validation
        path: cdsc-e/validation-*
  - config_name: cdsc-r
    data_files:
      - split: train
        path: cdsc-r/train-*
      - split: test
        path: cdsc-r/test-*
      - split: validation
        path: cdsc-r/validation-*

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

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

Dataset provided for research purposes only. Please check dataset license for additional information.

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

CC BY-NC-SA 4.0

Citation Information 

@inproceedings{wroblewska-krasnowska-kieras-2017-polish,
    title = "{P}olish evaluation dataset for compositional distributional semantics models",
    author = "Wr{\'o}blewska, Alina  and
      Krasnowska-Kiera{\'s}, Katarzyna",
    editor = "Barzilay, Regina  and
      Kan, Min-Yen",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P17-1073",
    doi = "10.18653/v1/P17-1073",
    pages = "784--792",
    abstract = "The paper presents a procedure of building an evaluation dataset. for the validation of compositional distributional semantics models estimated for languages other than English. The procedure generally builds on steps designed to assemble the SICK corpus, which contains pairs of English sentences annotated for semantic relatedness and entailment, because we aim at building a comparable dataset. However, the implementation of particular building steps significantly differs from the original SICK design assumptions, which is caused by both lack of necessary extraneous resources for an investigated language and the need for language-specific transformation rules. The designed procedure is verified on Polish, a fusional language with a relatively free word order, and contributes to building a Polish evaluation dataset. The resource consists of 10K 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.",
}

Contributions

Thanks to @abecadel for adding this dataset.