Baselight

Xiaohongshu-AIGC-comments (including Posts)dataset

Xiaohongshu-AIGC-comments

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset

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About this Dataset

Xiaohongshu-AIGC-comments (including Posts)dataset

This dataset is collected from the Xiaohongshu (Little Red Book) platform, focusing on user-generated content about Artificial Intelligence-Generated Content (AIGC). It covers various categories, including advertisement, automotive, fashion, food, literature, printing, sports, and technology. The dataset contains user comments and posts, with information such as user IDs, content, timestamps, likes, and sentiment analysis, which can be used to analyze public perceptions and attitudes toward AIGC.

Tables

Post Literature

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_literature
  • 162.74 KB
  • 180 rows
  • 20 columns
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CREATE TABLE post_literature (
  "note_id" VARCHAR,
  "type" VARCHAR,
  "title" VARCHAR,
  "desc" VARCHAR,
  "video_url" VARCHAR,
  "time" BIGINT,
  "last_update_time" BIGINT,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "liked_count" VARCHAR,
  "collected_count" BIGINT,
  "comment_count" BIGINT,
  "share_count" BIGINT,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Sport

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_sport
  • 194.37 KB
  • 320 rows
  • 20 columns
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CREATE TABLE post_sport (
  "note_id" VARCHAR,
  "type" VARCHAR,
  "title" VARCHAR,
  "desc" VARCHAR,
  "video_url" VARCHAR,
  "time" BIGINT,
  "last_update_time" BIGINT,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "liked_count" VARCHAR,
  "collected_count" VARCHAR,
  "comment_count" VARCHAR,
  "share_count" BIGINT,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Sport Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_sport_additional
  • 153.22 KB
  • 440 rows
  • 20 columns
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CREATE TABLE post_sport_additional (
  "note_id" VARCHAR,
  "type" VARCHAR,
  "title" VARCHAR,
  "desc" VARCHAR,
  "video_url" VARCHAR,
  "time" BIGINT,
  "last_update_time" BIGINT,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "liked_count" BIGINT,
  "collected_count" BIGINT,
  "comment_count" BIGINT,
  "share_count" VARCHAR,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Technological Development

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_technological_development
  • 136 KB
  • 100 rows
  • 20 columns
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CREATE TABLE post_technological_development (
  "note_id" VARCHAR,
  "type" VARCHAR,
  "title" VARCHAR,
  "desc" VARCHAR,
  "video_url" VARCHAR,
  "time" BIGINT,
  "last_update_time" BIGINT,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "liked_count" VARCHAR,
  "collected_count" BIGINT,
  "comment_count" BIGINT,
  "share_count" BIGINT,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Technology Outlook

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_technology_outlook
  • 225.74 KB
  • 220 rows
  • 20 columns
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CREATE TABLE post_technology_outlook (
  "note_id" VARCHAR,
  "type" VARCHAR,
  "title" VARCHAR,
  "desc" VARCHAR,
  "video_url" VARCHAR,
  "time" BIGINT,
  "last_update_time" BIGINT,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "liked_count" VARCHAR,
  "collected_count" VARCHAR,
  "comment_count" BIGINT,
  "share_count" BIGINT,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

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