community-datasets/cdsc

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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?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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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.