https://github.com/devorein/semeval-2023-task-10-edos
Submission for SemEval 2023 Task 10 EDOS
https://github.com/devorein/semeval-2023-task-10-edos
bert-fine-tuning huggingface-transformers pytorch sequence-classification sexism-detection
Last synced: about 2 months ago
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Submission for SemEval 2023 Task 10 EDOS
- Host: GitHub
- URL: https://github.com/devorein/semeval-2023-task-10-edos
- Owner: Devorein
- Created: 2022-12-25T15:57:31.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-26T18:02:08.000Z (over 3 years ago)
- Last Synced: 2025-03-10T12:14:21.413Z (over 1 year ago)
- Topics: bert-fine-tuning, huggingface-transformers, pytorch, sequence-classification, sexism-detection
- Language: Python
- Homepage: https://codalab.lisn.upsaclay.fr/competitions/7124
- Size: 8.79 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
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README
# [SemEval 2023 - Task 10 (EDOS)](https://codalab.lisn.upsaclay.fr/competitions/7124)
1. Install dependencies `pip install -r requirements.txt`
2. Download data [here](https://codalab.lisn.upsaclay.fr/competitions/7124#participate-get_starting_kit) and place them inside `data` directory. Download starting kit as well as the Public Development data for Task A, B and C
3. Unzip the zip files and rename dev_task_a_entries.csv to `dev_task_sexist.csv`, and b to `category` and c to `vector`
4. Run `python main.py` (uncomment the specific task you want to train and predict)
Here are the [google colab](https://colab.research.google.com/drive/1PglUD63wT9LiNuliofdzuYnPAtcIz6tf) and [huggingface model](https://huggingface.co/reinforz/bert-large-uncased-finetuned-edos) links