Dataset Open Access

Webis-Argument-Framing-19

Yamen Ajjour; Milad Alshomary; Henning Wachsmuth; Benno Stein


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/3ac7886c-4432-4f27-8909-11058be228e4/Webis-argument-framing.zip"
      }, 
      "checksum": "md5:780ce21ccd4c596673923badc3a717cf", 
      "bucket": "3ac7886c-4432-4f27-8909-11058be228e4", 
      "key": "Webis-argument-framing.zip", 
      "type": "zip", 
      "size": 2003274
    }
  ], 
  "owners": [
    65747
  ], 
  "doi": "10.5281/zenodo.3598315", 
  "stats": {
    "version_unique_downloads": 201.0, 
    "unique_views": 217.0, 
    "views": 245.0, 
    "version_views": 478.0, 
    "unique_downloads": 172.0, 
    "version_unique_views": 427.0, 
    "volume": 436713732.0, 
    "version_downloads": 249.0, 
    "downloads": 218.0, 
    "version_volume": 498690172.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.3598315", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.3373355", 
    "bucket": "https://zenodo.org/api/files/3ac7886c-4432-4f27-8909-11058be228e4", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3373355.svg", 
    "html": "https://zenodo.org/record/3598315", 
    "latest_html": "https://zenodo.org/record/3598315", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3598315.svg", 
    "latest": "https://zenodo.org/api/records/3598315"
  }, 
  "conceptdoi": "10.5281/zenodo.3373355", 
  "created": "2020-01-06T10:29:53.401807+00:00", 
  "updated": "2021-05-04T09:23:04.216533+00:00", 
  "conceptrecid": "3373355", 
  "revision": 3, 
  "id": 3598315, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.3598315", 
    "description": "<p>The dataset comprises 12,326 arguments that are labeled cover 465 topics and 1623 frames. The following fields are stored for each argument</p>\n\n<p>conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id</p>\n\n<p>For more information please refer to our paper &quot;Modeling Frames in Argumentation&quot;.</p>\n\n<p>&nbsp;</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Webis-Argument-Framing-19", 
    "notes": "If you use the dataset please cite our paper:\n@InProceedings{stein:2019q,\n  author =              {Yamen Ajjour and Milad Alshomary and Henning Wachsmuth and Benno Stein},\n  booktitle =           {2019 Conference on Empirical Methods in Natural Language Processing and 9th Internationl Joint Conference on Natural Language Processing (EMNLP 2019)},\n  doi =                 {},\n  month =               nov,\n  publisher =           {ACL},\n  site =                {Hong Kong},\n  title =               {{Modeling Frames in Argumentation}},\n  url =                 {},\n  year =                2019\n}", 
    "relations": {
      "version": [
        {
          "count": 3, 
          "index": 2, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3373355"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3598315"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "webis"
      }
    ], 
    "keywords": [
      "framing, computational argumentation, bias"
    ], 
    "publication_date": "2019-08-21", 
    "creators": [
      {
        "orcid": "0000-0001-7571-5383", 
        "affiliation": "Bauhaus Universit\u00e4t Weimar", 
        "name": "Yamen Ajjour"
      }, 
      {
        "affiliation": "Paderborn University", 
        "name": "Milad Alshomary"
      }, 
      {
        "affiliation": "Paderborn University", 
        "name": "Henning Wachsmuth"
      }, 
      {
        "orcid": "0000-0001-9033-2217", 
        "affiliation": "Bauhaus Universit\u00e4t Weimar", 
        "name": "Benno Stein"
      }
    ], 
    "meeting": {
      "acronym": "EMNLP2019", 
      "url": "https://www.emnlp-ijcnlp2019.org/", 
      "dates": "03-07 November, 2019", 
      "place": "Hong Kong, China", 
      "title": "2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing"
    }, 
    "access_right": "open", 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.3373355", 
        "relation": "isVersionOf"
      }
    ]
  }
}
478
249
views
downloads
All versions This version
Views 478245
Downloads 249218
Data volume 498.7 MB436.7 MB
Unique views 427217
Unique downloads 201172

Share

Cite as