| | --- |
| | task_categories: |
| | - text-classification |
| | language: |
| | - en |
| | dataset_info: |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: label |
| | dtype: int64 |
| | - name: sa |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 128596235 |
| | num_examples: 1613790 |
| | - name: test |
| | num_bytes: 35731728 |
| | num_examples: 448276 |
| | - name: dev |
| | num_bytes: 14325121 |
| | num_examples: 179310 |
| | download_size: 93470968 |
| | dataset_size: 178653084 |
| | --- |
| | |
| | The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)). |
| |
|
| | The type of language is determined thanks to a supervised model. Only the data |
| | where the sensitive attribute is predicted with a certainty rate above a given threshold are kept. |
| |
|
| | Based on this principle we make available two versions of the Moji dataset, |
| | respectively with a threshold of 80% and of 90%. The dataset's distributions are presented below. |
| |
|
| |
|
| | ### Dataset with 80% threshold |
| |
|
| | | | Positive sentiment | Negative Sentiment | Total | |
| | |---|---|---|---| |
| | AAE | 73 013 | 44 023 | 117 036 | |
| | SAE | 1 471 427 | 652 913 | 2 124 340 | |
| | Total | 1 544 440 | 696 936 | 2 241 376 | |
| |
|
| | To load this dataset, use the following code : |
| | ```python |
| | dataset = load_dataset("LabHC/moji", revision='moji_conf_08') |
| | ``` |
| | or by default the version is the dataset with 80% threshold |
| | ```python |
| | dataset = load_dataset("LabHC/moji") |
| | ``` |
| |
|
| | ### Dataset with 90% threshold |
| |
|
| | | | Positive sentiment | Negative Sentiment | Total | |
| | |---|---|---|---| |
| | AAE | 30 827 | 18 409 | 49 236 | |
| | SAE | 793 867 | 351 600 | 1 145 467 | |
| | Total | 824 694 | 370 009 | 1 194 703 | |
| |
|
| | To load this dataset, use the following code : |
| | ```python |
| | dataset = load_dataset("LabHC/moji", revision='moji_conf_09') |
| | ``` |
| |
|
| | ---- |
| | [Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://aclanthology.org/D16-1120) (Blodgett et al., EMNLP 2016) |
