ChDSrSSKJr SSKrSSKrSSKJr "SS5rg)a@ This file contains deprecated code that can only be used with the old `model.fit`-style Sentence Transformers v2.X training. It exists for backwards compatibility with the `model.old_fit` method, but will be removed in a future version. Nowadays, with Sentence Transformers v3+, it is recommended to use the `SentenceTransformerTrainer` class to train models. See https://www.sbert.net/docs/sentence_transformer/training_overview.html for more information. Instead, you should create a `datasets` `Dataset` for training: https://huggingface.co/docs/datasets/create_dataset ) annotationsN) InputExamplecL\rSrSrSrSSSSS\R 4SjrS S jrS r g ) TripletReaderzReads in the a Triplet Dataset: Each line contains (at least) 3 columns, one anchor column (s1), one positive example (s2) and one negative example (s3) rrF cXXlX lX0lX@lXPlX`lXplg)N)dataset_folder s1_col_idx s2_col_idx s3_col_idx has_header delimiterquoting)selfr r rrrrrs c/var/www/html/shao/venv/lib/python3.13/site-packages/sentence_transformers/readers/TripletReader.py__init__TripletReader.__init__s(-$$$$" c[R"[[RR UR U5SS9URURS9n/nUR(a [U5 [U5HcupVX`RnX`RnX`Rn UR[!XxU /S95 US:dMQ[#U5U:dMb U$ U$)Nzutf-8)encoding)rr)textsr)csvreaderopenospathjoinr rrrnext enumerater rrappendrlen) rfilename max_examplesdataexamplesidrows1s2s3s r get_examplesTripletReader.get_examples*szz d118r:s"# **r