---
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](https://huggingface.co/datasets/anyangsong/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.