|
--- |
|
dataset_info: |
|
- config_name: Behaviour |
|
features: |
|
- name: text |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: label |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 883966 |
|
num_examples: 5000 |
|
- name: test |
|
num_bytes: 183067 |
|
num_examples: 1000 |
|
download_size: 458408 |
|
dataset_size: 1067033 |
|
- config_name: Synth |
|
features: |
|
- name: text |
|
dtype: string |
|
- name: choices |
|
sequence: string |
|
- name: label |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 800941 |
|
num_examples: 7014 |
|
- name: test |
|
num_bytes: 248483 |
|
num_examples: 2908 |
|
download_size: 502169 |
|
dataset_size: 1049424 |
|
configs: |
|
- config_name: Behaviour |
|
data_files: |
|
- split: train |
|
path: Behaviour/train-* |
|
- split: test |
|
path: Behaviour/test-* |
|
- config_name: Synth |
|
data_files: |
|
- split: train |
|
path: Synth/train-* |
|
- split: test |
|
path: Synth/test-* |
|
--- |
|
|
|
# Automatic Misogyny Identification (AMI) |
|
|
|
Original Paper: https://amievalita2020.github.io |
|
|
|
Task presented at EVALITA-2020 |
|
|
|
This task consists of tweet classification, specifically, categorization of the level of misogyny in a given text. |
|
|
|
We taken both subtasks, *raw_dataset* uploaded as *Behaviour* (3 class classification) and *synthetic* uploaded as *Synth* (2 class classification). |
|
|
|
Data statistics: |
|
- add |
|
|
|
Proposed Prompts: |
|
- add |
|
|
