Xiaohongshu-AIGC-comments (including Posts)dataset by Kaggle | Other

Comments Technology Outlook

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_technology_outlook

583.44 KB
5237 rows
14 columns


CREATE TABLE comments_technology_outlook (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Comments Technological Development

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_technological_development

119.29 KB
1343 rows
14 columns


CREATE TABLE comments_technological_development (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" VARCHAR,
  "sentiment" VARCHAR
);

Post Technology Outlook

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_technology_outlook

225.74 KB
220 rows
20 columns


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
);

Post Technological Development

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_technological_development

136 KB
100 rows
20 columns


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
);

Comments Drawing

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_drawing

442.3 KB
9246 rows
14 columns


CREATE TABLE comments_drawing (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" VARCHAR,
  "sentiment" VARCHAR
);

Post Drawing

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_drawing

113.6 KB
500 rows
20 columns


CREATE TABLE post_drawing (
  "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
);

Comments Fashion

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_fashion

925.86 KB
9453 rows
14 columns


CREATE TABLE comments_fashion (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" VARCHAR,
  "sentiment" VARCHAR
);

Post Fashion

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_fashion

481.36 KB
620 rows
20 columns


CREATE TABLE post_fashion (
  "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" VARCHAR,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Comments Car

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_car

1.09 MB
10560 rows
14 columns


CREATE TABLE comments_car (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Post Car

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_car

525.52 KB
539 rows
20 columns


CREATE TABLE post_car (
  "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" VARCHAR,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Food Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_food_additional

163.53 KB
200 rows
20 columns


CREATE TABLE post_food_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" 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
);

Comments Food 2

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_food_2

527.74 KB
8711 rows
14 columns


CREATE TABLE comments_food_2 (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" VARCHAR,
  "sentiment" VARCHAR
);

Post Food

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_food

208.48 KB
340 rows
20 columns


CREATE TABLE post_food (
  "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
);

Comments Food Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_food_additional

222.6 KB
1944 rows
14 columns


CREATE TABLE comments_food_additional (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Comments Food

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_food

377.95 KB
4374 rows
14 columns


CREATE TABLE comments_food (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Post Food 2

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_food_2

139.96 KB
280 rows
20 columns


CREATE TABLE post_food_2 (
  "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" BIGINT,
  "ip_location" VARCHAR,
  "image_list" VARCHAR,
  "tag_list" VARCHAR,
  "last_modify_ts" BIGINT,
  "note_url" VARCHAR,
  "source_keyword" VARCHAR
);

Post Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_additional

338.47 KB
8257 rows
13 columns


CREATE TABLE post_additional (
  "comment_id" VARCHAR,
  "create_time" VARCHAR,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" DOUBLE
);

Comments Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_additional

308.96 KB
7744 rows
14 columns


CREATE TABLE comments_additional (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" DOUBLE,
  "sentiment" VARCHAR
);

Comments Brand Marketing

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_brand_marketing

313.79 KB
3739 rows
14 columns


CREATE TABLE comments_brand_marketing (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Post Advertising Planning

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_advertising_planning

690.04 KB
8343 rows
13 columns


CREATE TABLE post_advertising_planning (
  "comment_id" VARCHAR,
  "create_time" VARCHAR,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" DOUBLE
);

Post Brand Marketing

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_brand_marketing

337.61 KB
3878 rows
13 columns


CREATE TABLE post_brand_marketing (
  "comment_id" VARCHAR,
  "create_time" VARCHAR,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" VARCHAR,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" VARCHAR,
  "like_count" VARCHAR
);

Comments Advertising Planning

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_advertising_planning

606.6 KB
7514 rows
14 columns


CREATE TABLE comments_advertising_planning (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" DOUBLE,
  "sentiment" VARCHAR
);

Post Sport

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_sport

194.37 KB
320 rows
20 columns


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
);

Comments Sport

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_sport

1004.38 KB
8394 rows
14 columns


CREATE TABLE comments_sport (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" VARCHAR,
  "sentiment" VARCHAR
);

Post Sport Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_sport_additional

153.22 KB
440 rows
20 columns


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
);

Comments Sport Additional

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_sport_additional

80.8 KB
1732 rows
14 columns


CREATE TABLE comments_sport_additional (
  "comment_id" VARCHAR,
  "create_time" DOUBLE,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" DOUBLE,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" DOUBLE,
  "like_count" DOUBLE,
  "sentiment" VARCHAR
);

Comments Fiction

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_fiction

1.12 MB
18680 rows
14 columns


CREATE TABLE comments_fiction (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Post Fiction

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_fiction

103.96 KB
200 rows
20 columns


CREATE TABLE post_fiction (
  "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
);

Post Literature

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.post_literature

162.74 KB
180 rows
20 columns


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
);

Comments Literature

@kaggle.yuanchunhong_xiaohongshu_aigc_comments_including_postsdataset.comments_literature

550.63 KB
8489 rows
14 columns


CREATE TABLE comments_literature (
  "comment_id" VARCHAR,
  "create_time" BIGINT,
  "ip_location" VARCHAR,
  "note_id" VARCHAR,
  "content" VARCHAR,
  "user_id" VARCHAR,
  "nickname" VARCHAR,
  "avatar" VARCHAR,
  "sub_comment_count" BIGINT,
  "pictures" VARCHAR,
  "parent_comment_id" VARCHAR,
  "last_modify_ts" BIGINT,
  "like_count" BIGINT,
  "sentiment" VARCHAR
);

Xiaohongshu-AIGC-comments (including Posts)dataset

About this Dataset