def add_args(parser):
        """Add task-specific arguments to the parser."""
        # fmt: off
        # Generic translation args
        parser.add_argument('data', help='colon separated path to data directories list, \
                            will be iterated upon during epochs in round-robin manner; \
                            however, valid and test data are always in the first directory to \
                            avoid the need for repeating them in all directories')
        parser.add_argument('--mono-langs', metavar='MONO_LANGS',
                            help='monolingual languages for training')
        parser.add_argument('--valid-lang-pairs', default=None, metavar='VALID_LANG_PAIRS',
                            help='language pairs for validation')
        parser.add_argument('--load-alignments', action='store_true',
                            help='load the binarized alignments')
        parser.add_argument('--left-pad-source', default='False', type=str, metavar='BOOL',
                            help='pad the source on the left')
        parser.add_argument('--left-pad-target', default='False', type=str, metavar='BOOL',
                            help='pad the target on the left')
        parser.add_argument('--upsample-primary', default=1, type=int,
                            help='amount to upsample primary dataset')
        try:
            parser.add_argument('--max-source-positions', default=1024, type=int, metavar='N',
                                help='max number of tokens in the source sequence')
            parser.add_argument('--max-target-positions', default=1024, type=int, metavar='N',
                                help='max number of tokens in the target sequence')
        except ArgumentError:
            # this might have already been defined. Once we transition this to hydra it should be fine to add it here.
            pass
        parser.add_argument('--truncate-source', action='store_true', default=False,
                            help='truncate source to max-source-positions')
        parser.add_argument('--num-batch-buckets', default=0, type=int, metavar='N',
                            help='if >0, then bucket source and target lengths into N '
                                 'buckets and pad accordingly; this is useful on TPUs '
                                 'to minimize the number of compilations')

        # Denoising args
        parser.add_argument('--max-word-shuffle-distance', default=3.0, type=float, metavar='N',
                            help='maximum word shuffle distance for denoising autoencoding data generation')
        parser.add_argument('--word-dropout-prob', default=0.1, type=float, metavar='N',
                            help='word dropout probability for denoising autoencoding data generation')
        parser.add_argument('--word-blanking-prob', default=0.2, type=float, metavar='N',
                            help='word blanking probability for denoising autoencoding data generation')

        # Backtranslation args
        parser.add_argument('--lambda-bt', default="1.0", type=str, metavar='N',
                            help='back-translation weight')
        parser.add_argument('--lambda-dae', default="1.0", type=str, metavar='N',
                            help='denoising auto-encoder weight')

        # Evaluation args
        parser.add_argument('--generate-one-by-one', action='store_true',
                            help='generate one sentence at a time for backtranslation')

        parser.add_argument('--eval-bleu', action='store_true',
                            help='evaluation with BLEU scores')
        parser.add_argument('--eval-bleu-detok', type=str, default="space",
                            help='detokenize before computing BLEU (e.g., "moses"); '
                                 'required if using --eval-bleu; use "space" to '
                                 'disable detokenization; see fairseq.data.encoders '
                                 'for other options')
        parser.add_argument('--eval-bleu-detok-args', type=str, metavar='JSON',
                            help='args for building the tokenizer, if needed')
        parser.add_argument('--eval-tokenized-bleu', action='store_true', default=False,
                            help='compute tokenized BLEU instead of sacrebleu')
        parser.add_argument('--eval-bleu-remove-bpe', nargs='?', const='@@ ', default=None,
                            help='remove BPE before computing BLEU')
        parser.add_argument('--eval-bleu-args', type=str, metavar='JSON',
                            help='generation args for BLUE scoring, '
                                 'e.g., \'{"beam": 4, "lenpen": 0.6}\'')
        parser.add_argument('--eval-bleu-print-samples', action='store_true',
                            help='print sample generations during validation')
        # fmt: on
Add task-specific arguments to the parser.
structured_prompting/fairseq-version/fairseq/fairseq/tasks/online_backtranslation.py