(
        self,
        iso_lang_map: Dict[str, str],
        min_len: int = 25,
    )
return data
Args:
            iso_lang_map
            min_len: Minimum text length in *chars* for a given example to be included.

        Returns:
            Sequence of (text, lang) examples.
Args:
            iso_lang_map
            min_len: Minimum text length in *chars* for a given example to be included.
Args : iso_lang_map min_len : Minimum text length in * chars * for a given example to be included .
def load(
        self,
        iso_lang_map: Dict[str, str],
        min_len: int = 25,
    ) -> List[Tuple[str, str]]:
        """
        Args:
            iso_lang_map
            min_len: Minimum text length in *chars* for a given example to be included.

        Returns:
            Sequence of (text, lang) examples.
        """
        rows = tio.read_csv(
            self.data_dir.joinpath("sentences.csv"),
            fieldnames=["sent_id", "iso-639-3", "text"],
            delimiter="\t",
            quoting=1,
        )
        data = [
            (row["text"], iso_lang_map[row["iso-639-3"]])
            for row in rows
            if row["iso-639-3"] in iso_lang_map
            and itertoolz.count(char for char in row["text"] if char.isalnum()) >= min_len
        ]
        LOGGER.info("loaded TatoebaDataset data:\n%s ...", data[:3])
        return data
def load ( self , iso_lang_map : Dict [ str , str ] , min_len : int = 25 , ) -> List [ Tuple [ str , str ] ] : rows = tio . read_csv ( self . data_dir . joinpath ( "sentences.csv" ) , fieldnames = [ "sent_id" , "iso-639-3" , "text" ] , delimiter = "\t" , quoting = 1 , ) data = [ ( row [ "text" ] , iso_lang_map [ row [ "iso-639-3" ] ] ) for row in rows if row [ "iso-639-3" ] in iso_lang_map and itertoolz . count ( char for char in row [ "text" ] if char . isalnum ( ) ) >= min_len ] LOGGER . info ( "loaded TatoebaDataset data:\n%s ..." , data [ : 3 ] ) return data