metadata

language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: books-rating-analysis

Dataset Description

This dataset has been automatically processed by AutoTrain for project books-rating-analysis.

Languages

The BCP-47 code for the dataset's language is en.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_Unnamed: 0": 93700,
    "feat_user_id": "95ab2488360637821c45aebad5283b30",
    "feat_book_id": 22628,
    "feat_review_id": "24c7737206e35a9cbfb637541de69859",
    "target": 5,
    "text": "5 STARS!! \n I think I'm in a book hangover... \n Please, someone else tell me they also cried while reading this? Teared up a little? Or am I just overly sensitive? o.O \n I want to say I'll write a full review for this one but I don't think I can. If I do it will take me awhile to get my thoughts and emotions together. \n What a beautiful way to start off 2015! This book has been sitting on my bookshelf for \n at least \n 3/4 years, I wish I read it sooner. Absolutely beautiful and emotional! I loved the writing style, I felt like every letter was addressed to me. Some people complain that Charlie cries too much, but I think people forget his mental/emotional state of mind!! And I loved Charlie, I just want to hug him<3. I can't believe people actually hate this book!! I know, I know, everyone is entitled to their own opinion.",
    "feat_date_added": "Tue May 21 23:37:35 -0700 2013",
    "feat_date_updated": "Sat May 28 21:42:51 -0700 2016",
    "feat_read_at": "Tue Jan 06 00:00:00 -0800 2015",
    "feat_started_at": "Thu Jan 01 00:00:00 -0800 2015",
    "feat_n_votes": 23,
    "feat_n_comments": 3
  },
  {
    "feat_Unnamed: 0": 5471,
    "feat_user_id": "8a25b6e2c8508471cf31eac219ddf609",
    "feat_book_id": 8306857,
    "feat_review_id": "43eb3131665d34580ec8df2f13f142fd",
    "target": 4,
    "text": "Loved it! Was looking for a similar distopian series as the hungergames. The Maze Runner-trilogy dissapointed me but Divergent was very interesting. I have not read insurgent of allegiant yet, but I Will start soon!",
    "feat_date_added": "Fri Jun 08 14:07:19 -0700 2012",
    "feat_date_updated": "Sat May 28 10:38:38 -0700 2016",
    "feat_read_at": "Thu Jan 09 04:15:01 -0800 2014",
    "feat_started_at": "Tue Jan 07 00:00:00 -0800 2014",
    "feat_n_votes": 8,
    "feat_n_comments": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "feat_Unnamed: 0": "Value(dtype='int64', id=None)",
  "feat_user_id": "Value(dtype='string', id=None)",
  "feat_book_id": "Value(dtype='int64', id=None)",
  "feat_review_id": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '1', '2', '3', '4', '5'], id=None)",
  "text": "Value(dtype='string', id=None)",
  "feat_date_added": "Value(dtype='string', id=None)",
  "feat_date_updated": "Value(dtype='string', id=None)",
  "feat_read_at": "Value(dtype='string', id=None)",
  "feat_started_at": "Value(dtype='string', id=None)",
  "feat_n_votes": "Value(dtype='int64', id=None)",
  "feat_n_comments": "Value(dtype='int64', id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	79997
valid	20002