MuDoConv / README.md
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---
license: cc-by-nc-4.0
---
Collated datasets from 10 sources and preprocessed it to have ["texts", "labels"] columns to train/finetune sequence-to-sequence models such as T5/Blenderbot ... Below are the 10 datasets:
1. blended_skill_talk,
2. conv_ai_2
3. empathetic_dialogues
4. wizard_of_wikipedia
5. meta_woz
6. multi_woz,
7. spolin
8. dailydialog
9. cornell_movie_dialogues
10. taskmaster
The data access and preprocessing code is [here](https://github.com/pacman100/accelerate-deepspeed-test/blob/main/src/data_preprocessing/DataPreprocessing.ipynb)