Datasets:

anyangsong
/

SemEval2024-Task8-SubtaskA

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.