Name: Russian Social Media Text Classification
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Russian Social Media Text Classification

VKontakte communities can belong to one of several predefined categories. But even among the sports communities there is a fairly strong division by subject! The same authors can write about only one sport or at once about a large number.
Based on a given set of posts, determine the topic - what kind of sport is being discussed in the selected community?

Here is a list of available categories:

athletics,
autosport,
basketball,
boardgames,
esport,
extreme,
football,
hockey,
martial arts,
motosport,
tennis,
volleyball,
winter_sport

evaluate metric look like:

def score(true, pred, n_samples):
    counter = 0
    if true == pred:
        counter += 1
    else:
        counter -= 1
    return counter / n_samples

Tables

Sample Submission

@kaggle.mikhailma_russian_social_media_text_classification.sample_submission

23.14 kB
2,626 rows
2 columns

CREATE TABLE sample_submission (
  "oid" BIGINT,
  "category" VARCHAR
);

Test

@kaggle.mikhailma_russian_social_media_text_classification.test

10.12 MB
26,260 rows
2 columns

CREATE TABLE test (
  "oid" BIGINT,
  "text" VARCHAR
);

Train

@kaggle.mikhailma_russian_social_media_text_classification.train

14.79 MB
38,740 rows
3 columns

CREATE TABLE train (
  "oid" BIGINT,
  "category" VARCHAR,
  "text" VARCHAR
);