EVAL DATASET GENERATED FROM ORIGINAL DATASET'S TRAINING SPLIT (with 'eval_size' of 320)
Hard negative mining performed AFTER train/eval splitting original pool size: 179975; so, this eval split may contain negatives from training split)
Source dataset: sentence-transformers/sentence-compression
(dataset name: sentence_compression).
Hard negatives mined with model: sentence-transformers/all-MiniLM-L6-v2.
Mining params: max_score=0.8, num_negatives=1, relative_margin=0.05, absolute_margin=0.03, range_max=100.
Upload enhanced train data for sentence_compression
EVAL DATASET GENERATED FROM ORIGINAL DATASET'S TRAINING SPLIT (with 'eval_size' of 320)
Hard negative mining performed AFTER train/eval splitting original pool size: 377840; so, this eval split may contain negatives from training split)
Source dataset: sentence-transformers/npr
(dataset name: npr).
Hard negatives mined with model: sentence-transformers/all-MiniLM-L6-v2.
Mining params: max_score=0.8, num_negatives=1, relative_margin=0.05, absolute_margin=0.03, range_max=100.
EVAL DATASET GENERATED FROM ORIGINAL DATASET'S TRAINING SPLIT (with 'eval_size' of 320)
Hard negative mining performed AFTER train/eval splitting original pool size: 325475; so, this eval split may contain negatives from training split)
Source dataset: sentence-transformers/eli5
(dataset name: eli5).
Hard negatives mined with model: sentence-transformers/all-MiniLM-L6-v2.
Mining params: max_score=0.8, num_negatives=1, relative_margin=0.05, absolute_margin=0.03, range_max=100.
EVAL DATASET GENERATED FROM ORIGINAL DATASET'S TRAINING SPLIT (with 'eval_size' of 320)
Hard negative mining performed AFTER train/eval splitting original pool size: 60819; so, this eval split may contain negatives from training split)
Source dataset: bobox/xSum-processed
(dataset name: xsum).
Hard negatives mined with model: sentence-transformers/all-MiniLM-L6-v2.
Mining params: max_score=0.8, num_negatives=1, relative_margin=0.05, absolute_margin=0.03, range_max=100.
EVAL DATASET GENERATED FROM ORIGINAL DATASET'S TRAINING SPLIT (with 'eval_size' of 320)
Hard negative mining performed AFTER train/eval splitting original pool size: 99311; so, this eval split may contain negatives from training split)
Source dataset: sentence-transformers/natural-questions
(dataset name: natural-questions).
Hard negatives mined with model: sentence-transformers/all-MiniLM-L6-v2.
Mining params: max_score=0.8, num_negatives=1, relative_margin=0.05, absolute_margin=0.03, range_max=100.
