| --- |
| language: |
| - zh |
| - en |
| pretty_name: TopicVid |
| --- |
| # TopicVid Dataset |
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| This dataset provides structured metadata, content features, and a heterogeneous graph related to short-video topics and subtopics. It is designed for tasks such as topic analysis, audience interaction modeling, peak prediction, and research on graph neural networks or graph retrieval. |
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| --- |
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| ## Contents |
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| - `available_dataset_with_subtopic.json` — Processed structured raw data of short video content and interaction statistics about topics. |
| - `comment.npy` — Comment features. |
| - `content.npy` — Content features. |
| - `desc.npy` — Description features. |
| - `heterogeneous_graph.pkl` — Heterogeneous graph file. |
| - `title.npy` — Title features. |
| - `topic.npy` — Topic embeddings. |
| - `video.npy` — Video features. |
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| --- |
|
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| ## Data Structure |
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| ### 1) `available_dataset_with_subtopic.json` |
| This file contains the raw data of short video content and interaction statistics. |
| |
| Fields: |
| |
| - `url` (string) — Direct link to the video on the platform. |
| - `desc` (string) — Description text of the video content. |
| - `title` (string) — Title of the video post. |
| - `content` (string) — Additional text content; may be empty. |
| - `user_id` (string) — Unique identifier of the publishing user. |
| - `duration` (integer) — Video duration in seconds. |
| - `platform` (string) — Source platform name (e.g., Douyin, Kuaishou). |
| - `post_create_time` (string) — Time of publication in "YYYY-MM-DD HH:MM:SS" format. |
| - `topic` (string) — Main topic associated with the video. |
| - `subtopic` (string) — Numbered subcategory under the main topic. |
| - `time_frames` (dict) — Interaction statistics recorded at different dates. |
| - Key: Date in "YYYY-MM-DD" format |
| - Value: Dictionary with fields: |
| - `fans_count` — Number of followers |
| - `like_count` — Number of likes |
| - `view_count` — Number of views |
| - `share_count` — Number of shares |
| - `collect_count` — Number of collections |
| - `comment_count` — Number of comments |
| - `comments` (dict) — Collection of user comments. |
| - Key: Comment index (string) |
| - Value: Dictionary with fields: |
| - `comment_user_id` — Commenting user ID |
| - `comment_nickname` — Commenting user's display name |
| - `comment_content` — Comment text |
| - `comment_time` — Time of comment |
| - `ip_address` — IP location of the commenting user |
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| ### 2) `*.npy` |
| Numpy arrays containing preprocessed embeddings or feature vectors. |
| |
| ### 3) `heterogeneous_graph.pkl` |
| A serialized Python object containing: |
| - Node types and indices |
| - Edge types and lists |
| - Labels information is available at [link](https://github.com/chensh911/TLGM/blob/main/data/subtopic_label.csv) |
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