---
license: mit
configs:
- config_name: monolingual
  default: true
  data_files:
  - split: train
    path: monolingual/subtaskA_train_monolingual.jsonl
  - split: validation
    path: monolingual/subtaskA_dev_monolingual.jsonl
  - split: test
    path: monolingual/subtaskA_monolingual.jsonl
- config_name: multilingual
  data_files:
  - split: train
    path: multilingual/subtaskA_train_multilingual.jsonl
  - split: validation
    path: multilingual/subtaskA_dev_multilingual.jsonl
  - split: test
    path: multilingual/subtaskA_multilingual.jsonl
- config_name: chinese
  data_files:
  - split: train
    path: chinese/subtaskA_train_chinese.jsonl
task_categories:
- text-classification
language:
- en
- zh
- ur
- bg
- id
- ru
- ar
- de
- it
---
Unofficial Mirror of SemEval2024-Task8-SubtaskA Dataset (https://github.com/mbzuai-nlp/SemEval2024-task8)

We have also separately extracted the Chinese subset from the multilingual dataset and stored it in this repository (only the training set includes the Chinese subset).

Our MAGA uses the monolingual test set and the Chinese training set of the SemEval2024-Task8-SubtaskA dataset as external test sets to verify the generalization ability of R-B MAGA.

A detailed README is coming soon.