xwikis.json

{
  "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"
    }
  }
}