Datasets:

GEM
/

xwikis

+{
+  "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": "https://github.com/lauhaide/clads",
+      "paper-bibtext": "@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}",
+      "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"
+    }
+  }
+}