Dataset: MyAnimeList Comment Dataset V2 (MALCoDv2)

About this Dataset

MyAnimeList Comment Dataset V2 (MALCoDv2)

This dataset, comprising over 220K comments from MyAnimeList.net since 2006, was gathered using Scrapy. The crawler can be found on Github Repo MyAnimeList-Comment-Crawler. There is an older version in MALCoD for order version of MyAnimeList.

Note: All information gathered here are publicly available, there was no need to be registered anywhere to access the data.

Content

reviews.csv - Contains comments up until the first half of 2023 with details like comment ID, Anime work ID, Anime work name, post time, episodes watched and so on.
anime_list.csv - Contains the Anime work ID, its corresponding genres and other details.

This dataset can be utilized for sentiment analysis, natural language processing, or to analyze Anime trends and genre popularity.

Acknowledgements

The dataset was independently crawled from MyAnimeList.net.

Citation

N. Lee, "MyAnimeList Comment Dataset V2 (MALCoDv2)," Kaggle, 2023. [Online]. Available: https://www.kaggle.com/datasets/natlee/myanimelist-comment-dataset-v2.

Tables

Reviews

@kaggle.natlee_myanimelist_comment_dataset_v2.reviews

340.96 MB
224641 rows
18 columns


CREATE TABLE reviews (
  "id" BIGINT,
  "workid" BIGINT,
  "url" VARCHAR,
  "workname" VARCHAR,
  "posttime" TIMESTAMP,
  "episodesseen" VARCHAR,
  "overallrating" BIGINT,
  "author" VARCHAR,
  "reviewid" BIGINT,
  "review" VARCHAR,
  "recommendationstatus" VARCHAR,
  "nice" BIGINT,
  "loveit" BIGINT,
  "funny" BIGINT,
  "confusing" BIGINT,
  "informative" BIGINT,
  "wellwritten" BIGINT,
  "creative" BIGINT
);

Anime List

@kaggle.natlee_myanimelist_comment_dataset_v2.anime_list

3.33 MB
24594 rows
28 columns


CREATE TABLE anime_list (
  "id" BIGINT,
  "workid" BIGINT,
  "url" VARCHAR,
  "jpname" VARCHAR,
  "engname" VARCHAR,
  "synonymsname" VARCHAR,
  "worktype" VARCHAR,
  "episodes" VARCHAR,
  "status" VARCHAR,
  "aired" VARCHAR,
  "premiered" VARCHAR,
  "producer" VARCHAR,
  "broadcast" VARCHAR,
  "licensors" VARCHAR,
  "studios" VARCHAR,
  "genres" VARCHAR,
  "themes" VARCHAR,
  "demographic" VARCHAR,
  "source" VARCHAR,
  "duration" VARCHAR,
  "rating" VARCHAR,
  "score" DOUBLE,
  "allrank" VARCHAR,
  "popularityrank" VARCHAR,
  "members" BIGINT,
  "favorites" BIGINT,
  "scoredbyuser" DOUBLE,
  "lastupdate" TIMESTAMP
);