task_categories:text-classification language:en size_categories:n<1K region:us
---
task_categories:
- text-classification
language:
- en
size_categories:
- n<1K
---

# Dataset Card for Car Reviews

<!-- Provide a quick summary of the dataset. -->
As the title suggests this dataset contains car reviews of kia cars.
## Dataset Details
The dataset contains three files train_data.csv, test_features.csv and test_data.csv.
### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
The train_data.csv contains 201 data points with two columns Review and Target, test_features.csv contain 44 data points which has only Review and test_data.csv contains both Review and Target columns.


- **Shared by [optional]:** [Taraka Ram Donepudi]


### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->
Kaggle
## Uses
This dataset can be used for learning sentiment analysis and text classification.
<!-- Address questions around how the dataset is intended to be used. -->

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
As mentioned above the dataset contains three files and two files contain two columns Review and Target and one file contains only Review column. The Review column contain the reviews given by various users and Target contains values 0,1,2 which represents Negative, Neutral and Postive reviews.


### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
I have a source data without annotations which contains 5000 data points.

#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
The data is collected from kaggle and preprocessed as per our requirements.


### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
0-Negative
1-Neutral
2-Positive

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
My Classmates have read the reviews and annotated after understanding them.

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->
Brayden and Zoiya 

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset.

## Dataset Card Contact

taraka@umich.edu

CodaLab Link
https://codalab.lisn.upsaclay.fr/competitions/20659#results
