Update README.md

README.md

@@ -1,12 +1,12 @@
 ---
 configs:
-  - config_name: hero_hero_comic
-    data_files: hero_hero_comic.csv
-  - config_name: adjacency_list
-    data_files: adjacency_list.csv
-  - config_name: adjacency_matrix(preview)
-    data_files: processing_data/adjacency_matrix_preview.csv
-license: artistic-2.0
+- config_name: hero_hero_comic
+  data_files: hero_hero_comic.csv
+- config_name: adjacency_list
+  data_files: adjacency_list.csv
+- config_name: adjacency_matrix(preview)
+  data_files: processing_data/adjacency_matrix_preview.csv
+license: afl-3.0
 language:
 - en
 size_categories:
@@ -15,96 +15,55 @@ task_categories:
 - feature-extraction
 ---
 
-# Dataset Card for Dataset Name
+# Dataset Card for Marvel Network
 
-<!-- Provide a quick summary of the dataset. -->
+This is a dataset for Marvel universe social network, which contains the relationships between Marvel heroes.
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+## Dataset Description
 
-## Dataset Details
+The Marvel Comics character collaboration graph was originally constructed by Cesc Rosselló, Ricardo Alberich, and Joe Miro from the University of the Balearic Islands. They compare the characteristics of this universe to real-world collaboration networks, such as the Hollywood network, or the one created by scientists who work together in producing research papers. The dataset contains heroes and comics, and the relationship between them got from Marvel comics
 
-### Dataset Description
+This dataset consists of three subsets, hero_hero_comic.csv, adjacency_list.csv and adjacency_matrix.csv. 
 
-<!-- Provide a longer summary of what this dataset is. -->
-
-
-
-- **Curated by:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Language(s) (NLP):** [EN]
+- **License:** afl-3.0
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
+Network Topology Analysis, 
+Just like what the original work did, we can try to analyze the network topology to discover whether the interpersonal relationships and social structures created in novels conform to real-world social networks, whether they fit the small-world model; we can also use this to infer the core heroes of the Marvel Universe, etc.
 
-### Direct Use
+Community Detection, 
+This is an excellent toy model for applying community detection algorithms, and we naturally have clear community outcomes such as the "Avengers Alliance" for comparison.
 
-<!-- This section describes suitable use cases for the dataset. -->
+Link Prediction, Attack Robustness, etc.
+In fact, all algorithms effective for conventional network models can be transferred and applied to this network, including but not limited to: link prediction: which predicts which heroes might collaborate in future works; attack robustness: studying whether Thanos's snap would damage the hero ecosystem of the entire Marvel Universe; word2vec: assigning network structural features, finding heroes paires like Spider-Man and Venom...
 
-[More Information Needed]
 
 ## Dataset Structure
 
-Adjacency_list.csv
-
-Adjacency_matrix.csv
-
-## Dataset Creation
-
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
-### Source Data
+hero_hero_comic.csv:
+A table three columns hero1[str], hero2[str] and comic[str]. hero1 and hero2 shows together in a same comic, which is the comic in the third colunm. 
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+adjacency_list.csv:
+A table contains three columns hero1[str], hero2[str] and counts[int], which is the total times hero1 and hero2 shows together in a comic.
 
+adjacency_matrix.csv:
+A matrix contains 6267 columns times 6267 rows, each cell with an [int] value. Each row/column represents a hero, each nondiagonal cell represents the total times the colunm hero and the row hero shows in a same comic and each diagonal cell represents the total counts of the colunm(row) hero in this dataset.
 
-#### Who are the source data producers?
+## Source Data
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+The sourse data is from https://www.kaggle.com/datasets/csanhueza/the-marvel-universe-social-network, which is collected from Marvel comics.
 
-## Bias, Risks, and Limitations
-
-[More Information Needed]
-
-### Recommendations
+## Source Data Producers
 
+The sourse data is created by Claudio Sanhueza
 
 ## Citation
 
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
+Alberich, R., Miro-Julia, J., & Rosselló, F. (2002). Marvel Universe looks almost like a real social network. arXiv preprint cond-mat/0202174.
 
 ## Dataset Card Contact
 
-[More Information Needed]
+Haocheng Qin, Duke Univ.,
+hq37@duke.edu