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--- |
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license: cc-by-sa-4.0 |
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language_creators: |
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- machine-generated |
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dataset_info: |
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features: |
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- name: tokens_a |
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sequence: string |
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- name: tokens_b |
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sequence: string |
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- name: labels_a |
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sequence: float64 |
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- name: labels_b |
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sequence: float64 |
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- name: lang_a |
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dtype: string |
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- name: lang_b |
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dtype: string |
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- name: subset |
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dtype: string |
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- name: id |
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dtype: string |
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- name: alignments |
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dtype: string |
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splits: |
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- name: train_en |
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num_bytes: 1640900 |
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num_examples: 1506 |
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- name: train_de |
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num_bytes: 1101404 |
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num_examples: 3012 |
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- name: train_es |
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num_bytes: 1154765 |
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num_examples: 3012 |
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- name: train_fr |
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num_bytes: 1206414 |
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num_examples: 3012 |
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- name: train_ja |
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num_bytes: 838252 |
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num_examples: 3012 |
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- name: train_ko |
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num_bytes: 829328 |
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num_examples: 3012 |
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- name: train_zh |
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num_bytes: 796140 |
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num_examples: 3012 |
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- name: test_en |
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num_bytes: 833900 |
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num_examples: 750 |
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- name: test_de |
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num_bytes: 558624 |
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num_examples: 1500 |
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- name: test_es |
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num_bytes: 580224 |
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num_examples: 1500 |
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- name: test_fr |
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num_bytes: 610017 |
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num_examples: 1500 |
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- name: test_ja |
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num_bytes: 425912 |
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num_examples: 1500 |
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- name: test_ko |
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num_bytes: 424407 |
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num_examples: 1500 |
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- name: test_zh |
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num_bytes: 403680 |
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num_examples: 1500 |
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download_size: 2569205 |
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dataset_size: 11403967 |
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task_categories: |
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- token-classification |
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language: |
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- en |
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- de |
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- es |
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- fr |
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- ja |
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- ko |
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- zh |
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size_categories: |
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- 1K<n<10K |
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--- |
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|
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Training and test data for the task of Recognizing Semantic Differences (RSD). |
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|
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[See the paper](https://arxiv.org/abs/2305.13303) for details on how the dataset was created, and see our code at https://github.com/ZurichNLP/recognizing-semantic-differences for an example of how to use the data for evaluation. |
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The data are derived from the [SemEval-2016 Task 2 for Interpretable Semantic Textual Similarity](https://alt.qcri.org/semeval2016/task2/) organized by [Agirre et al. (2016)](http://dx.doi.org/10.18653/v1/S16-1082). |
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The original URLs of the data are: |
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* Train: http://alt.qcri.org/semeval2016/task2/data/uploads/train_2015_10_22.utf-8.tar.gz |
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* Test: http://alt.qcri.org/semeval2016/task2/data/uploads/test_goldstandard.tar.gz |
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The translations into non-English languages have been created using machine translation (DeepL). |
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|
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## Citation |
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```bibtex |
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@inproceedings{vamvas-sennrich-2023-rsd, |
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title={Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents}, |
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author={Jannis Vamvas and Rico Sennrich}, |
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month = dec, |
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year = "2023", |
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", |
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address = "Singapore", |
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publisher = "Association for Computational Linguistics", |
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} |
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``` |
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