{
   "default":{
      "description":"\nMulti-Document,a large-scale multi-document summarization dataset created from scientific articles. Multi-Document introduces a challenging multi-document summarization task: writing therelated-work section of a paper based on itsabstract and the articles it references.\n",
      "citation":"\n@article{lu2020multi,\n  title={Multi-Document: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles},\n  author={Arka Das, India},\n  journal={arXiv preprint arXiv:2010.14235},\n  year={2022}\n}\n",
      "homepage":"https://github.com/arka0821/multi_document_summarization",
      "license":"",
      "features":{
         "id":{
            "dtype":"string",
            "id":null,
            "_type":"Value"
         },
         "docs":{
            "feature":{
               "id":{
                  "dtype":"string",
                  "id":null,
                  "_type":"Value"
               },
               "text":{
                  "dtype":"string",
                  "id":null,
                  "_type":"Value"
               }
            },
            "length":-1,
            "id":null,
            "_type":"Sequence"
         },
		 "summary":{
            "dtype":"string",
            "id":null,
            "_type":"Value"
         }
      },
      "post_processed":null,
      "supervised_keys":null,
      "builder_name":"multi_document_summarization",
      "config_name":"default",
      "version":{
         "version_str":"1.1.0",
         "description":null,
         "major":1,
         "minor":1,
         "patch":0
      },
      "splits":{
         "train":{
            "name":"train",
            "num_examples":50,
            "dataset_name":"multi_document_summarization"
         },
         "test":{
            "name":"test",
            "num_examples":5,
            "dataset_name":"multi_document_summarization"
         },
         "validation":{
            "name":"validation",
            "num_examples":10,
            "dataset_name":"multi_document_summarization"
         }
      },
      "post_processing_size":null
   }
}