.

xsum.json

@@ -5,9 +5,9 @@
       "leaderboard-url": "N/A",
       "leaderboard-description": "N/A",
       "website": "n/a",
-      "data-url": "https://github.com/EdinburghNLP/XSum",
-      "paper-url": "https://www.aclweb.org/anthology/D18-1206",
-      "paper-bibtext": "@InProceedings{xsum-emnlp,\n  author =      \"Shashi Narayan and Shay B. Cohen and Mirella Lapata\",\n  title =       \"Don't Give Me the Details, Just the Summary! {T}opic-Aware Convolutional Neural Networks for Extreme Summarization\",\n  booktitle =   \"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing \",\n  year =        \"2018\",\n  address =     \"Brussels, Belgium\",\n}",
+      "data-url": "[Github](https://github.com/EdinburghNLP/XSum)",
+      "paper-url": "[ACL Anthology](https://www.aclweb.org/anthology/D18-1206)",
+      "paper-bibtext": "```\n@InProceedings{xsum-emnlp,\n  author =      \"Shashi Narayan and Shay B. Cohen and Mirella Lapata\",\n  title =       \"Don't Give Me the Details, Just the Summary! {T}opic-Aware Convolutional Neural Networks for Extreme Summarization\",\n  booktitle =   \"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing \",\n  year =        \"2018\",\n  address =     \"Brussels, Belgium\",\n}\n```",
       "contact-name": "Shashi Narayan",
       "contact-email": "shashinarayan@google.com"
     },
@@ -38,10 +38,13 @@
       "data-fields": "- `Document`: Input news article.\n- `Summary`: One sentence summary of the article.\n- `Id`: BBC ID of the article.",
       "structure-description": "The Document/Summary format is standard for summarization datasets.",
       "structure-labels": "The labels are the first sentence of the source article. ",
-      "structure-example": "{\n  'document': 'The researchers have sequenced the genome of a strain of bacterium that causes the virulent infection.\\nA survey in 2007 showed that bleeding canker had spread rapidly, with almost half of the two million horse chestnuts displaying symptoms of the disease.\\nThe findings have been published in the journal PLoS One.\\nA visible symptom of the disease is a lesion on the bark, which oozes a resin on to the trunk or sometimes the branches.\\nThe bark underneath the canker is killed, and if cankers manage to go all the way around the trunk then the horse chestnut (Aesculus hippocastanum) will die because it cuts off the food supply. [...]',\n  'target': \"A team of UK scientists hopes to shed light on the mysteries of bleeding canker, a disease that is threatening the nation's horse chestnut trees.\",\n}",
+      "structure-example": "```\n{\n  'document': 'The researchers have sequenced the genome of a strain of bacterium that causes the virulent infection.\\nA survey in 2007 showed that bleeding canker had spread rapidly, with almost half of the two million horse chestnuts displaying symptoms of the disease.\\nThe findings have been published in the journal PLoS One.\\nA visible symptom of the disease is a lesion on the bark, which oozes a resin on to the trunk or sometimes the branches.\\nThe bark underneath the canker is killed, and if cankers manage to go all the way around the trunk then the horse chestnut (Aesculus hippocastanum) will die because it cuts off the food supply. [...]',\n  'target': \"A team of UK scientists hopes to shed light on the mysteries of bleeding canker, a disease that is threatening the nation's horse chestnut trees.\",\n}\n```",
       "structure-splits": "| Section   | Number of Documents          |\n| ------------- |:-------------:|\n| Training     | 204,045 |\n| Validation     | 11,332      |\n| Testing | 11,334    |\n| Total | 226k |\n\n| Section       |  number of words| number of sentences |\n| ------------- |:-------------:| :-------------:|\n| Documents      | 431.07     | 19.77 |\n| Summary    | 23.26      | 1.00 |\n",
       "structure-splits-criteria": "The identifiers in the URLs were used to randomly split the dataset into training (90%, 204,045), validation (5%, 11,332), and test (5%, 11,334) sets.",
       "structure-outlier": "n/a"
+    },
+    "what": {
+      "dataset": "XSum is an English news summarization dataset where the task is to predict the first sentence of an article from the rest of it."
     }
   },
   "curation": {