Processed data from AutoTrain data processor ([2023-01-14 13:48 ]

README.md

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+---
+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:
+
+```json
+[
+  {
+    "feat_user_id": "d61f73208ec7385cff30110708a6ac17",
+    "feat_book_id": 10048874,
+    "feat_review_id": "45a0b2b42f50912b3b145a4c41763024",
+    "target": 3,
+    "text": "Really, I don't have much to say. There were parts that were amusing and interesting, but everything else was painfully slow. This was also my first \"Steampunk\" novel, so I'm really not sure how to react, I suppose. \n The Book: \n *I did not like having so many different perspectives to read from. I can see where it helped the story, but it muddled it at times. \n *Zombies in war? Pretty cool, to be honest. \n *The cover? It was alright. Fit Nora 'effin perfectly. \n *The entire Punk vs Victorian concept was interesting, but could have been explained better. \n Characters: \n *Nora- WHY, WHY, WHY do authors insist that the leading lady must be moody, difficult to like, and \"doll-like\"? She really wasn't all that enjoyable. I did not like Nora. She was quite rude to, well, everyone, and I dislike rudeness! \n *Bram- Everyone is so hard on Bram. Aside from the fact that he immediately fell in love with the \"beautiful Nora\", I actually liked him a lot. Why? He was a nice guy. He wasn't crazy-perfect or anything. He was conflicted, but not moody, thoughtful, and really just a decent person. I would have liked him a lot more had he NOT been so focused on Miss Dearly. \n *Pamela - Oh my sweet goodness....a character that changed and developed as the book went on! Miss Pam Roe learns to be independent and to think for herself. You go, Pam! I adored her. \n *Issy - Pam's brother. I hated, hated him at first....but he grew on me. As someone who has a younger brother, I can see how realistic he and Pam's relationship was. I've watched my own brother mature, and seeing Issy grow up in such a short period of time reminded me of that. It was nice. It also made me want to give my own brother a big hug when I finished the book. \n *Ren - Ha! The poor boy. He's nerdy, skinny, bookish...and not someone people enjoy, yet I liked him. He had a quick-wit and was just a nice side-character. I just wish there was more said about him. \n *Victor - Nora's papa. Umm..yeah. Not interesting. I skimmed his chapters. He did stuff...bleh. \n *Sam - Comic relief....and he kind of grew on me. He was somehow annoying and enjoyable at the same time. \n *Chas, Tom, and Coalhouse - no comments. They weren't much developed aside from ONE scene between Tom and Coalhouse. \n *Wolfe - stereotypical blahness. Also skimmed his chapters. \n *Michael and Mink - also found them to be stereotypes. DEPTH TO A CHARACTER IS IMPORTANT. It was like...it started...then stopped. Meh.",
+    "feat_date_added": "Mon Apr 01 18:33:08 -0700 2013",
+    "feat_date_updated": "Sun Mar 30 14:59:17 -0700 2014",
+    "feat_read_at": "Sun Mar 30 14:59:17 -0700 2014",
+    "feat_started_at": "Sun Mar 23 00:00:00 -0700 2014",
+    "feat_n_votes": 1,
+    "feat_n_comments": 0
+  },
+  {
+    "feat_user_id": "4df9de6b0e662ecbecdb850d8fca4a73",
+    "feat_book_id": 9436632,
+    "feat_review_id": "188a9686ad899b5bf8ebf95d3e10d691",
+    "target": 4,
+    "text": "It makes me happy to know this wasn't the end. It makes me sad to think I have to wait for the third book.",
+    "feat_date_added": "Tue Aug 16 21:28:29 -0700 2011",
+    "feat_date_updated": "Thu Jun 14 21:43:47 -0700 2012",
+    "feat_read_at": "Tue Aug 23 00:00:00 -0700 2011",
+    "feat_started_at": "Tue Aug 16 00:00:00 -0700 2011",
+    "feat_n_votes": 0,
+    "feat_n_comments": 0
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "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        | 719997 |
+| valid        | 180003 |

processed/dataset_dict.json

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processed/train/dataset_info.json

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processed/train/state.json

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processed/valid/dataset_info.json

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processed/valid/state.json

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