Multilingual-Multi-document-Summarization-Datasets

document_encoding.py: Gets document embedding using SBERT pre-trained model.

Name		Name	Last commit message	Last commit date
Latest commit History 78 Commits
demonstration_pairs		demonstration_pairs
few_shot_prompt_utility		few_shot_prompt_utility
.gitignore		.gitignore
README.md		README.md
consistency_evaluation.py		consistency_evaluation.py
direct_prompt.py		direct_prompt.py
document_encoding.py		document_encoding.py
gpt_prompt.py		gpt_prompt.py
inference.py		inference.py
job_submit_5_shot_opt.sh		job_submit_5_shot_opt.sh
perplexity_calculation.py		perplexity_calculation.py
requirements.txt		requirements.txt
result_analysis.ipynb		result_analysis.ipynb
summarization_data_analysis.ipynb		summarization_data_analysis.ipynb
wandb.ipynb		wandb.ipynb
writing_evaluation.py		writing_evaluation.py

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