| | --- |
| | license: cc-by-nc-sa-4.0 |
| | configs: |
| | - config_name: en-de |
| | data_files: |
| | - split: train |
| | path: en-de/*.tsv |
| | - config_name: en-el |
| | data_files: |
| | - split: train |
| | path: en-el/*.tsv |
| | - config_name: en-es |
| | data_files: |
| | - split: train |
| | path: en-es/*.tsv |
| | - config_name: en-fr |
| | data_files: |
| | - split: train |
| | path: en-fr/*.tsv |
| | - config_name: en-it |
| | data_files: |
| | - split: train |
| | path: en-it/*.tsv |
| | task_categories: |
| | - text-generation |
| | - text2text-generation |
| | - translation |
| | - summarization |
| | language: |
| | - en |
| | - el |
| | - de |
| | - fr |
| | - es |
| | - it |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | # SciPar Parallel Documents |
| |
|
| | <br/> |
| |
|
| | # Dataset Description |
| |
|
| | This dataset contains parallel documents (i.e., titles & abstracts) extracted from academic theses, dissertations, and other scientific texts. |
| |
|
| | In the original [paper](https://aclanthology.org/2022.lrec-1.284.pdf), we've extracted 9.17M sentence pairs in 31 language pairs from 86 repositories. |
| |
|
| | This version has been created through further processing and filtering to extract parallel **documents** instead of parallel **sentences**. |
| |
|
| | To do this, we kept only the parallel titles and abstracts of academic records with high (mean) alignment scores by also using other filters (e.g., word ratio, non-empty abstracts, etc.). |
| |
|
| | Please note that this dataset will keep getting updated to include *more language pairs*, per the original paper. |
| |
|
| | <br/> |
| |
|
| | Table 1: Number of parallel documents per language pair |
| |
|
| | | Lang. Pair | # Parallel Docs | |
| | |------------|-----------------| |
| | | EN-DE | 57,387 | |
| | | EN-EL | 55,833 | |
| | | EN-ES | 25,844 | |
| | | EN-FR | 130,750 | |
| | | EN-IT | 3,860 | |
| | | **TOTAL** | **273,674** | |
| |
|
| | <br/> |
| |
|
| | # Related Datasets |
| |
|
| | The original datasets can be found in ELRC-SHARE: |
| | - [Original SciPar in Moses format](https://elrc-share.eu/repository/browse/scipar-a-collection-of-parallel-corpora-from-scientific-abstracts-v-2021-in-moses-format/e78f32fe739611ec9c1a00155d026706a5d3e42019af467193538b102cf080f8/) |
| | - [Original SciPar in TMX format](https://elrc-share.eu/repository/browse/scipar-a-collection-of-parallel-corpora-from-scientific-abstracts-v-2021-in-tmx-format/aaf503c0739411ec9c1a00155d02670665aacff53a8543938cd99da54fdd66af/) |
| | - [SciPar UK-EN-RU in TMX format](https://elrc-share.eu/repository/browse/scipar-uk-en-ru/f635552ab06011ec9c1a00155d0267061ce92362f8af4c0b9d4f64d017c2df3f/) |
| |
|
| | # Citation |
| | ``` |
| | @inproceedings{roussis2022scipar, |
| | title={SciPar: A collection of parallel corpora from scientific abstracts}, |
| | author={Roussis, Dimitrios and Papavassiliou, Vassilis and Prokopidis, Prokopis and Piperidis, Stelios and Katsouros, Vassilis}, |
| | booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference}, |
| | pages={2652--2657}, |
| | year={2022} |
| | } |
| | ``` |
