| { |
| "overview": { |
| "what": { |
| "dataset": "The XWikis Corpus provides datasets with different language pairs and directions for cross-lingual and multi-lingual abstractive document summarisation. " |
| }, |
| "where": { |
| "has-leaderboard": "no", |
| "leaderboard-url": "N/A", |
| "leaderboard-description": "N/A", |
| "website": "[Github](https://github.com/lauhaide/clads)", |
| "paper-bibtext": "```\n@InProceedings{clads-emnlp,\n author = \"Laura Perez-Beltrachini and Mirella Lapata\",\n title = \"Models and Datasets for Cross-Lingual Summarisation\",\n booktitle = \"Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing \",\n year = \"2021\",\n address = \"Punta Cana, Dominican Republic\",\n}\n```", |
| "paper-url": "https://arxiv.org/abs/2202.09583", |
| "contact-name": "Laura Perez-Beltrachini", |
| "contact-email": "lperez@ed.ac.uk" |
| }, |
| "languages": { |
| "is-multilingual": "yes", |
| "license": "cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International", |
| "task-other": "N/A", |
| "language-names": [ |
| "German", |
| "English", |
| "French", |
| "Czech" |
| ], |
| "intended-use": "Cross-lingual and Multi-lingual single long input document abstractive summarisation.", |
| "license-other": "N/A", |
| "task": "Summarization", |
| "communicative": "Entity descriptive summarisation, that is, generate a summary that conveys the most salient facts of a document related to a given entity." |
| }, |
| "credit": { |
| "organization-type": [ |
| "academic" |
| ], |
| "creators": "Laura Perez-Beltrachini (University of Edinburgh)", |
| "gem-added-by": "Laura Perez-Beltrachini (University of Edinburgh) and Ronald Cardenas (University of Edinburgh)" |
| }, |
| "structure": { |
| "structure-splits": "For each language pair and direction there exists a train/valid/test split. \nThe test split is a sample of size 7k from the intersection of titles existing in the four languages (cs,fr,en,de).\nTrain/valid are randomly split." |
| } |
| }, |
| "curation": { |
| "original": { |
| "is-aggregated": "no", |
| "aggregated-sources": "N/A" |
| }, |
| "language": { |
| "found": [ |
| "Single website" |
| ], |
| "crowdsourced": [], |
| "created": "N/A", |
| "machine-generated": "N/A", |
| "validated": "other", |
| "is-filtered": "not filtered", |
| "filtered-criteria": "N/A", |
| "obtained": [ |
| "Found" |
| ] |
| }, |
| "annotations": { |
| "origin": "found", |
| "rater-number": "N/A", |
| "rater-qualifications": "N/A", |
| "rater-training-num": "N/A", |
| "rater-test-num": "N/A", |
| "rater-annotation-service-bool": "no", |
| "rater-annotation-service": [], |
| "values": "The input documents have section structure information.", |
| "quality-control": "validated by another rater", |
| "quality-control-details": "Bilingual annotators assessed the content overlap of source document and target summaries." |
| }, |
| "consent": { |
| "has-consent": "no", |
| "consent-policy": "N/A", |
| "consent-other": "N/A" |
| }, |
| "pii": { |
| "has-pii": "no PII", |
| "no-pii-justification": "N/A", |
| "is-pii-identified": "N/A", |
| "pii-identified-method": "N/A", |
| "is-pii-replaced": "N/A", |
| "pii-replaced-method": "N/A", |
| "pii-categories": [] |
| }, |
| "maintenance": { |
| "has-maintenance": "no", |
| "description": "N/A", |
| "contact": "N/A", |
| "contestation-mechanism": "N/A", |
| "contestation-link": "N/A", |
| "contestation-description": "N/A" |
| } |
| }, |
| "gem": { |
| "rationale": { |
| "sole-task-dataset": "no", |
| "sole-language-task-dataset": "N/A", |
| "distinction-description": "N/A" |
| }, |
| "curation": { |
| "has-additional-curation": "no", |
| "modification-types": [], |
| "modification-description": "N/A", |
| "has-additional-splits": "no", |
| "additional-splits-description": "N/A", |
| "additional-splits-capacicites": "N/A" |
| }, |
| "starting": {} |
| }, |
| "results": { |
| "results": { |
| "other-metrics-definitions": "N/A", |
| "has-previous-results": "yes", |
| "current-evaluation": "ROUGE-1/2/L", |
| "previous-results": "N/A", |
| "model-abilities": "- identification of entity salient information\n- translation\n- multi-linguality\n- cross-lingual transfer, zero-shot, few-shot", |
| "metrics": [ |
| "ROUGE" |
| ] |
| } |
| }, |
| "considerations": { |
| "pii": {}, |
| "licenses": { |
| "dataset-restrictions-other": "N/A", |
| "data-copyright-other": "N/A", |
| "dataset-restrictions": [ |
| "public domain" |
| ], |
| "data-copyright": [ |
| "public domain" |
| ] |
| }, |
| "limitations": {} |
| }, |
| "context": { |
| "previous": { |
| "is-deployed": "no", |
| "described-risks": "N/A", |
| "changes-from-observation": "N/A" |
| }, |
| "underserved": { |
| "helps-underserved": "no", |
| "underserved-description": "N/A" |
| }, |
| "biases": { |
| "has-biases": "no", |
| "bias-analyses": "N/A" |
| } |
| } |
| } |
