# Dataset Card for "TVCG_Papers"
* Dataset Description
Repository:
Paper: 
Leaderboard:
Point of Contact:

* Dataset Summary: This dataset contains 5178 papers from IEEE TVCG. It contains multiple raw attributes of each paper, including both meta-data and abstract.  

* Dataset Structure: Jsonl file, each paper instance is a json object. 


* Data Fields:
```
FEATURE = Features({
    'data': Features({
        'issue': Features({
            'id': Value(dtype='string'),
            'title': Value(dtype='string'),
            'year': Value(dtype='string'),
            'issueNum': Value(dtype='string'),
            'idPrefix': Value(dtype='string'),
            'pubType': Value(dtype='string'),
            'volume': Value(dtype='string'),
            'label': Value(dtype='string'),
            'downloadables': Features({
                'hasCover': Value(dtype='bool'),
                '__typename': Value(dtype='string')
              }),
             '__typename': Value(dtype='string')
            }),
        'article': Features({
            'id': Value(dtype='string'),
            'doi': Value(dtype='string'),
            'abstract': Value(dtype='string'),
            'abstracts': [
                {
                    'abstractType': Value(dtype='string'),
                    'content': Value(dtype='string'),
                    '__typename': Value(dtype='string')
                }
              ],
            'normalizedAbstract': Value(dtype='string'),
            'title': Value(dtype='string'),
            'normalizedTitle': Value(dtype='string'),
            'fno': Value(dtype='string'),
            'hasPdf': Value(dtype='bool'),
            'idPrefix': Value(dtype='string'),
            'keywords': [
                Value(dtype='string')
            ],
            'authors': [
                {
                    'givenName': Value(dtype='string'),
                    'surname': Value(dtype='string'),
                    'fullName': Value(dtype='string'),
                    'affiliation': Value(dtype='string'),
                    '__typename': Value(dtype='string')
                }
              ],
            'replicability': Features({
                'isEnabled': Value(dtype='bool'), 
                'codeDownloadUrl': Value(dtype='string'), 
                'codeRepositoryUrl': Value(dtype='string'), 
                '__typename': Value(dtype='string')
            }),
            'showBuyMe': Value(dtype='bool'),
            'showRecommendedArticles': Value(dtype='bool'),
            'isOpenAccess': Value(dtype='bool'),
            'issueNum':Value(dtype='string'),
            'pubDate': Value(dtype='string'),
            'pubType': Value(dtype='string'),
            'pages': Value(dtype='string'),
            'year': Value(dtype='string'),
            'issn': Value(dtype='string'),
            'isbn': Value(dtype='string'),
            'notes': Value(dtype='string'),
            'notesType': Value(dtype='string'),
            '__typename': Value(dtype='string'),
          }),
          'recommendedArticles': [
              {
                'id': Value(dtype='string'),
                'title': Value(dtype='string'),
                'doi': Value(dtype='string'),
                'abstractUrl': Value(dtype='string'),
                'parentPublication': 
                    {
                    'id': Value(dtype='string'),
                    'title': Value(dtype='string'),
                    '__typename': Value(dtype='string')
                    },
                '__typename': Value(dtype='string')
              },
          ],
          'adjacentArticles': Features({
              'previous': {
                    'fno': Value(dtype='string'),
                    'articleId': Value(dtype='string'),
                    '__typename': Value(dtype='string')},
              'next': {
                    'fno': Value(dtype='string'),
                    'articleId': Value(dtype='string'),
                    '__typename': Value(dtype='string')
                    },
              '__typename': Value(dtype='string')
              }),
          'webExtras': [
              Features({
                  'id': Value(dtype='string'),
                  'name': Value(dtype='string'), 
                  'location': Value(dtype='string'), 
                  'extension': Value(dtype='string'), 
                  'size': Value(dtype='string'), 
                  '__typename': Value(dtype='string')
              })
          ],
          'articleVideos': [Value(dtype='string')]
        })
    })
```


* Source Data: https://www.computer.org/csdl/journal/tg

* Citation Information: Yamei Tu (tu.253@osu.edu)

size_categories:1K<n<10K visualization  papers academic text region:us
{"size_categories": ["1K<n<10K"], "pretty_name": "TVCG Papers ", "dataset_info": {"features": [{"name": "data", "struct": [{"name": "issue", "struct": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "year", "dtype": "string"}, {"name": "issueNum", "dtype": "string"}, {"name": "idPrefix", "dtype": "string"}, {"name": "pubType", "dtype": "string"}, {"name": "volume", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "downloadables", "struct": [{"name": "hasCover", "dtype": "bool"}, {"name": "__typename", "dtype": "string"}]}, {"name": "__typename", "dtype": "string"}]}, {"name": "article", "struct": [{"name": "id", "dtype": "string"}, {"name": "doi", "dtype": "string"}, {"name": "abstract", "dtype": "string"}, {"name": "abstracts", "list": [{"name": "abstractType", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "normalizedAbstract", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "normalizedTitle", "dtype": "string"}, {"name": "fno", "dtype": "string"}, {"name": "hasPdf", "dtype": "bool"}, {"name": "idPrefix", "dtype": "string"}, {"name": "keywords", "list": "string"}, {"name": "authors", "list": [{"name": "givenName", "dtype": "string"}, {"name": "surname", "dtype": "string"}, {"name": "fullName", "dtype": "string"}, {"name": "affiliation", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "replicability", "struct": [{"name": "isEnabled", "dtype": "bool"}, {"name": "codeDownloadUrl", "dtype": "string"}, {"name": "codeRepositoryUrl", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "showBuyMe", "dtype": "bool"}, {"name": "showRecommendedArticles", "dtype": "bool"}, {"name": "isOpenAccess", "dtype": "bool"}, {"name": "issueNum", "dtype": "string"}, {"name": "pubDate", "dtype": "string"}, {"name": "pubType", "dtype": "string"}, {"name": "pages", "dtype": "string"}, {"name": "year", "dtype": "string"}, {"name": "issn", "dtype": "string"}, {"name": "isbn", "dtype": "string"}, {"name": "notes", "dtype": "string"}, {"name": "notesType", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "recommendedArticles", "list": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "doi", "dtype": "string"}, {"name": "abstractUrl", "dtype": "string"}, {"name": "parentPublication", "struct": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "__typename", "dtype": "string"}]}, {"name": "adjacentArticles", "struct": [{"name": "previous", "struct": [{"name": "fno", "dtype": "string"}, {"name": "articleId", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "next", "struct": [{"name": "fno", "dtype": "string"}, {"name": "articleId", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "__typename", "dtype": "string"}]}, {"name": "webExtras", "list": [{"name": "id", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "extension", "dtype": "string"}, {"name": "size", "dtype": "string"}, {"name": "__typename", "dtype": "string"}]}, {"name": "articleVideos", "list": "string"}]}], "splits": [{"name": "train", "num_bytes": 39196837, "num_examples": 5178}], "download_size": 15953795, "dataset_size": 39196837}, "tags": ["visualization ", "papers", "academic", "text"]}
TAGS
#size_categories-1K<n<10K #visualization  #papers #academic #text #region-us 

# Dataset Card for "TVCG_Papers"
* Dataset Description
Repository:
Paper: 
Leaderboard:
Point of Contact:

* Dataset Summary: This dataset contains 5178 papers from IEEE TVCG. It contains multiple raw attributes of each paper, including both meta-data and abstract.  

* Dataset Structure: Jsonl file, each paper instance is a json object. 


* Data Fields:



* Source Data: URL

* Citation Information: Yamei Tu (tu.253@URL)

# Dataset Card for "TVCG_Papers"
* Dataset Description
Repository:
Paper: 
Leaderboard:
Point of Contact:

* Dataset Summary: This dataset contains 5178 papers from IEEE TVCG. It contains multiple raw attributes of each paper, including both meta-data and abstract.  

* Dataset Structure: Jsonl file, each paper instance is a json object. 


* Data Fields:



* Source Data: URL

* Citation Information: Yamei Tu (tu.253@URL)
TAGS
#size_categories-1K<n<10K #visualization  #papers #academic #text #region-us 
 # Dataset Card for "TVCG_Papers"
* Dataset Description
Repository:
Paper: 
Leaderboard:
Point of Contact:

* Dataset Summary: This dataset contains 5178 papers from IEEE TVCG. It contains multiple raw attributes of each paper, including both meta-data and abstract.  

* Dataset Structure: Jsonl file, each paper instance is a json object. 


* Data Fields:



* Source Data: URL

* Citation Information: Yamei Tu (tu.253@URL)
passage: TAGS
#size_categories-1K<n<10K #visualization  #papers #academic #text #region-us 
# Dataset Card for "TVCG_Papers"
* Dataset Description
Repository:
Paper: 
Leaderboard:
Point of Contact:

* Dataset Summary: This dataset contains 5178 papers from IEEE TVCG. It contains multiple raw attributes of each paper, including both meta-data and abstract.  

* Dataset Structure: Jsonl file, each paper instance is a json object. 


* Data Fields:



* Source Data: URL

* Citation Information: Yamei Tu (tu.253@URL)