training-augmentation
mnli-training-paraphrase-augmentation
MNLI Training Paraphrase Augmentation
Purpose
This dataset contains new paraphrases created for training paraphrase augmentation during Phase B of the research project.
It was not used as an NLI evaluation set.
It was not used for paraphrase consistency evaluation.
It is separate from the published MNLI Paraphrase Bank used for evaluation. The generation records report zero collisions with that evaluation bank.
The CSV contains only the new augmentation rows. It… See the full description on the dataset page: https://huggingface.co/datasets/Lidor-Mashiach/mnli-training-paraphrase-augmentation.anli-training-paraphrase-augmentation
ANLI Training Paraphrase Augmentation
Purpose
This dataset contains new paraphrases created for training paraphrase augmentation during Phase B of the research project.
It was not used as an NLI evaluation set.
It was not used for paraphrase consistency evaluation.
It is separate from the published ANLI Paraphrase Bank used for evaluation. The generation records report zero collisions with that evaluation bank.
The CSV contains only the new augmentation rows. It… See the full description on the dataset page: https://huggingface.co/datasets/Lidor-Mashiach/anli-training-paraphrase-augmentation.snli-training-paraphrase-augmentation
SNLI Training Paraphrase Augmentation
Purpose
This dataset contains new paraphrases created for training paraphrase augmentation during Phase B of the research project.
It was not used as an NLI evaluation set.
It was not used for paraphrase consistency evaluation.
It is separate from the published SNLI Paraphrase Bank used for evaluation. The generation records report zero collisions with that evaluation bank.
The CSV contains only the new augmentation rows. It… See the full description on the dataset page: https://huggingface.co/datasets/Lidor-Mashiach/snli-training-paraphrase-augmentation.ipa_augmentation_cv11_training_segments_RM_BM_TMThese files list the relevant Common Voice 11 segments which were used to train the reference model and therefore also the baseline and target model in the selective augmentation approach.
List of Training Segments for Selective Augmentation:
https://huggingface.co/collections/Tobias-B/universal-phonetic-asr-models-selective-augmentation-680b5034c0729058fadcf1d6
These models were created to advance automatic phonetic transcription (APT) beyond the training transcription accuracy.… See the full description on the dataset page: https://huggingface.co/datasets/Tobias-B/ipa_augmentation_cv11_training_segments_RM_BM_TM.