task_categories:text-classification size_categories:1K<n<10K language:nl license:mit region:us
---
dataset_info:
  features:
  - name: pair_ID
    dtype: int64
  - name: sentence_A
    dtype: string
  - name: sentence_B
    dtype: string
  - name: entailment_label
    dtype: string
  - name: relatedness_score
    dtype: float64
  - name: entailment_AB
    dtype: string
  - name: entailment_BA
    dtype: string
  - name: sentence_A_original
    dtype: string
  - name: sentence_B_original
    dtype: string
  - name: sentence_A_dataset
    dtype: string
  - name: sentence_B_dataset
    dtype: string
  - name: SemEval_set
    dtype: string
  - name: label
    dtype: int64
  - name: label_seq2seq
    dtype: string
  splits:
  - name: train
    num_bytes: 1359887
    num_examples: 4439
  - name: validation
    num_bytes: 153417
    num_examples: 495
  - name: test
    num_bytes: 1496660
    num_examples: 4906
  download_size: 822658
  dataset_size: 3009964
license: mit
task_categories:
- text-classification
language:
- nl
pretty_name: SICK-NL
size_categories:
- 1K<n<10K
---

## Dataset Description

- **Homepage:** https://github.com/gijswijnholds/sick_nl
- **Repository:** https://github.com/gijswijnholds/sick_nl
- **Paper:** https://aclanthology.org/2021.eacl-main.126/
- **Point of Contact:** [Gijs Wijnholds](mailto:gijswijnholds@gmail.com)

### Dataset Summary

An automatically translated, manually corrected translation of the SICK dataset of [Marelli et al. 2014](https://www.aclweb.org/anthology/L14-1314), intended to boost research in Dutch NLP.


### Languages

The dataset is in Dutch.

## Dataset Structure

### Data Fields

- pair_ID: sentence pair ID
- sentence_A: sentence A
- sentence_B: sentence B
- label: textual entailment gold label: entailment (0), neutral (1) or contradiction (2)
- relatedness_score: semantic relatedness gold score (on a 1-5 continuous scale)
- entailment_AB: entailment for the A-B order (A_neutral_B, A_entails_B, or A_contradicts_B)
- entailment_BA: entailment for the B-A order (B_neutral_A, B_entails_A, or B_contradicts_A)
- sentence_A_original: original sentence from which sentence A is derived
- sentence_B_original: original sentence from which sentence B is derived
- sentence_A_dataset: dataset from which the original sentence A was extracted (FLICKR vs. SEMEVAL)
- sentence_B_dataset: dataset from which the original sentence B was extracted (FLICKR vs. SEMEVAL)

### Data Splits

Train Trial Test
4439 495 4906

## Dataset Creation

The dataset was created by first automatically translating all sentences, then by manually correcting any translation errors. This guarantees naturality of the examples while aligning the relatedness scores and entailment labels. Since the data IDs are preserved the dataset is fully aligned on the sentence level.

## Additional Information

### Licensing Information

This dataset falls under an MIT License.

### Citation Information


```
@inproceedings{wijnholds-etal-2021-sicknl,
    title = "SICK-NL: A Dataset for Dutch Natural Language Inference",
    author = "Wijnholds, Gijs and Moortgat, Michael",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.126/",
}
```

### Contributions

Thanks to [@maximedb](https://huggingface.co/maximedb) for adding this dataset.