Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| languages: | |
| - en | |
| licenses: | |
| - gpl-3-0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| # Dataset Card for [Dataset Name] | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage: [Home](https://github.com/sharmaroshan/Twitter-Sentiment-Analysis) | |
| - **Repository:[Repo](https://github.com/sharmaroshan/Twitter-Sentiment-Analysis/blob/master/train_tweet.csv) | |
| - **Paper: | |
| - **Leaderboard:** | |
| - **Point of Contact:[Darshan Gandhi](darshangandhi1151@gmail.com) | |
| ### Dataset Summary | |
| The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. | |
| Formally, given a training sample of tweets and labels, where label ‘1’ denotes the tweet is racist/sexist and label ‘0’ denotes the tweet is not racist/sexist, your objective is to predict the labels on the given test dataset. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| The tweets are primarily in English Language | |
| ## Dataset Structure | |
| ### Data Instances | |
| The dataset contains a label denoting is the tweet a hate speech or not | |
| ``` | |
| {'label': 0, # not a hate speech | |
| 'tweet': ' @user when a father is dysfunctional and is so selfish he drags his kids into his dysfunction. #run'} | |
| ``` | |
| ### Data Fields | |
| * label : 1 - it is a hate specch, 0 - not a hate speech | |
| * tweet: content of the tweet as a string | |
| ### Data Splits | |
| The data contains training data with :31962 entries | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| Crowdsourced from tweets of users | |
| #### Who are the source language producers? | |
| Cwodsourced from twitter | |
| ### Annotations | |
| #### Annotation process | |
| The data has been precprocessed and a model has been trained to assign the relevant label to the tweet | |
| #### Who are the annotators? | |
| The data has been provided by Roshan Sharma | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| With the help of this dataset, one can understand more about the human sentiments and also analye the situations when a particular person intends to make use of hatred/racist comments | |
| ### Discussion of Biases | |
| The data could be cleaned up further for additional purposes such as applying a better feature extraction techniques | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| Roshan Sharma | |
| ### Licensing Information | |
| [Information](https://github.com/sharmaroshan/Twitter-Sentiment-Analysis/blob/master/LICENSE) | |
| ### Citation Information | |
| [Citation](https://github.com/sharmaroshan/Twitter-Sentiment-Analysis/blob/master/CONTRIBUTING.md) | |
| ### Contributions | |
| Thanks to [@darshan-gandhi](https://github.com/darshan-gandhi) for adding this dataset. |